Biomedical Engineering

BMEN 1100 Introduction to Bioengineering I (1 semester credit hour) This is a laboratory course emphasizing the essential skills and tools necessary to succeed in a biomedical engineering degree plan. Lab activities will include an introduction to laboratory instruments applicable to the field of biomedical engineering, measurement techniques, and basic statistical analysis of real-world experimental data. Professional responsibilities in biomedical engineering will be evaluated as well as engineering ethics. CE 1100 or CS 1200 or EE 1100 or MECH 1100 can substitute for this course. Credit cannot be received for more than one of the following: BMEN 1100, CE 1100, CS 1200, EE 1100 or MECH 1100. Lab fee of $30 required. (0-2) Y

BMEN 1208 Introduction to Bioengineering II (2 semester credit hours) Provides an overview to the hardware and software tools associated with the biomedical engineering profession. Introduces various subfields within biomedical engineering. Includes activities using computer-aided design and microcontrollers. Includes team-oriented project. Lab fee of $30 is required. Prerequisite: BMEN 1100. Prerequisite or Corequisite: BMEN 1300 or equivalent. (1.5-1.5) S

BMEN 1300 Introduction to Biomedical Engineering Computing (3 semester credit hours) Computer programming in a high-level, block structured language with a focus on bioengineering applications. Basic data types, memory usage, control structures, input/output, functions and parameter passing. Program design and software development methodology. Mechanics of running, testing, and debugging. Pseudo-codes, flowcharts and code efficiency. Programming languages of choice are C++ and Matlab. Programming projects related to biomedical engineering applications. (3-0) S

BMEN 2320 Statics (3 semester credit hours) Lecture course. Course material includes vector representations of forces and moments, free body diagrams, equilibrium of particles, center of mass, centroids, distributed load systems, equivalent force systems, equilibrium of rigid bodies, trusses, frames and machines, internal forces in structural members, shear forces and bending moments in beams, friction, area and mass moments of inertia, the principle of virtual work. Prerequisites: PHYS 2325 and PHYS 2125. Prerequisites or Corequisites: MATH 2415 or MATH 2419 or equivalent. (3-0) S

BMEN 2V99 Topics in Biomedical Engineering (1-4 semester credit hours) May be repeated as topics vary (9 semester credit hours maximum). ([1-4]-0) R

BMEN 3110 Biomedical Transport Processes Laboratory (1 semester credit hour) Laboratory course. Lab fee of $30 required. Prerequisite: RHET 1302. Prerequisite or Corequisite: BMEN 3310. (0-3) Y

BMEN 3200 Biomedical Engineering Fundamentals and Design (2 semester credit hours) This course will cover the fundamentals of biomedical engineering and design techniques through a combination of labs, lectures, and a guided design project. Students will learn the broad fundamentals of biomedical engineering and also the design process including such topics as ethical behavior, particularly with respect to human and animal subjects, intellectual property considerations, global biomedical engineering, codes and standards, and FDA regulations. The students will receive hands-on training on machining, wetlab techniques, computer-aided modeling and simulation, basic electrical and electronic circuit design and computer programming. Completion of this course will provide students with the skills and knowledge to enable them to be successful in future design courses. It is strongly recommended that students take BMEN 4310 with this course. Lab fee of $30 required. Prerequisites: BMEN 3220 and BMEN 3320 and BMEN 3331 and BMEN 3399. (1-3) S

BMEN 3220 Electrical and Electronic Circuits in Biomedical Engineering Lab (2 semester credit hours) Experiments include applications related to: Analysis methods and network theorems for electric circuits. Electrical quantities. Properties of linear and non-linear circuit elements such as resistors, capacitors, diodes, op amps, etc. Transient and steady state circuit behavior. Design and analysis of filters, amplifiers, rectifiers, and other electrical circuits in biomedical engineering. PCB design and soldering. Microcontroller programming. Signal conditioning circuits for embedded systems for biomedical applications. Integration of sensors and other peripherals with microcontrollers for the acquisition and processing of biosignals. Lab fee of $30 required. Prerequisites: MATH 2420 and PHYS 2326 and PHYS 2126. Prerequisites or Corequisites: BMEN 1300 and BMEN 3320. (0-2) Y

BMEN 3300 Advanced Engineering Mathematics for Bioengineers (3 semester credit hours) Survey of advanced mathematics topics needed in the study of bioengineering. Topics include the use of complex numbers, properties of complex-valued functions, vector algebra, scalar and vector fields, and numerical methods in bioengineering. Emphasis will be given to biomedical applications. This course includes a required laboratory. Prerequisites: (MATH 2415 or MATH 2419 or equivalent) and ENGR 2300. Prerequisite or Corequisite: MATH 2420. (3-1) S

BMEN 3302 Bioengineering Signals and Systems (3 semester credit hours) In this course, the fundamentals of continuous and discrete-time signal processing relevant to Biomedical Engineering and biomedical devices are introduced. The main time and frequency-domain concepts covered in the course are convolution, impulse response, Fourier transform, and sampling theorem. Credit cannot be received for more than one of the following: BMEN 3302 or BMEN 3402 or CE 3303 or EE 3302. Prerequisites: BMEN 1208 and ENGR 3300. (3-0) Y

BMEN 3310 Fluid Mechanics and Transport Processes in Biomedical Engineering (3 semester credit hours) Introduction to fluid flow and transport phenomena in bioengineering. Fluids in biological circulatory systems, devices, and microsystems. Mass, thermal, and multiphase transport in biology. Emphasis on the use of mathematical modeling and computer simulations. Prerequisites: BMEN 1208 and ENGR 3300. (3-0) Y

BMEN 3315 Thermodynamics and Physical Chemistry in Biomedical Engineering (3 semester credit hours) An introduction to the fundamentals of thermodynamics and physical chemistry. Molecules and chemical bonds, chemical kinetics and reaction equilibria. Topics also include molecular transitions, nonequilibrium processes, self assembly, and interface thermodynamics. Prerequisites: (CHEM 1301 or (CHEM 1311 and CHEM 1312)) and (CHEM 2324 or (CHEM 2323 and CHEM 2325)) and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2126 and PHYS 2326). (3-0) Y

BMEN 3318 Engineered Biomaterials (3 semester credit hours) Covers properties and processing of engineered materials used in biomedical devices. Emphasis on the chemistry and structure-property relationships that control the mechanical, corrosion, and biocompatibility of materials used in acute and chronically implanted medical devices. Includes crystalline and amorphous states of metals, glasses and polymers; glass formation and bioactive glasses; mechanical properties; passivity and galvanic corrosion; phase diagrams; and macromolecular bonding and structure. Covers basic material characterization techniques including uniaxial tensile tests, x-ray-diffraction, SEM/optical microscopy, potentiodynamic polarization, infrared spectroscopy, and differential scanning calorimetry. Prerequisites or Corequisites: BMEN 1208 and (CHEM 1312 or CHEM 1301). (3-0) R

BMEN 3320 Electrical and Electronic Circuits in Biomedical Engineering (3 semester credit hours) Introduction to analysis methods and network theorems used to describe operation of electric circuits. Electrical quantities, circuit principles, signal waveforms, transient and steady state circuit behavior. Properties of linear and non-linear circuit elements such as resistors, capacitors, diodes, op amps, etc. Time domain and frequency domain methods for analysis of electric circuits. Filters, amplifiers, rectifiers, comparators, and other electrical circuits in biomedical engineering. Design of signal conditioning circuits for processing of biosignals. It is recommended that students take BMEN 3220 with this course. Prerequisites: MATH 2420 and (PHYS 2126 and PHYS 2326). Prerequisite or Corequisite: CS 1324 or BMEN 1300. (3-0) Y

BMEN 3325 Advanced Computational Tools for Biomedical Engineering (3 semester credit hours) Advanced topics in programming and programming skills for solving biomedical problems. Topics may include data processing, visualization, analysis, machine learning, deep learning, and software development. Prerequisite or Corequisite: BMEN 3302. (1.5-1.5) S

BMEN 3331 Cell and Molecular Engineering (3 semester credit hours) This course will cover physiological function from a cellular, molecular, and biophysical perspective, with applications to bioengineering design. Topics include protein structure and function, enzymes, the structure and nature of DNA, gene expression, protein trafficking, the cellular structure and function of various cellular organelles. Modern methods for designing, producing, and characterizing novel proteins and peptides will be examined. Students will also learn about energy and the function of mitochondria, cellular communication and the function of the extracellular matrix, cell motility, cell division, cell signaling, and cell adhesion. Prerequisites: MATH 2420 and CHEM 1312. (3-0) S

BMEN 3332 Quantitative Physiology for Engineers (3 semester credit hours) This course in quantitative physiology will examine systems and organ level physiology of the human body. Content will be geared toward that relevant for bioengineers, with a focus on a quantitative, model-oriented, and control systems approach to physiological function. The topics covered include neural systems, the cardiovascular system, the respiratory system, the renal system, the endocrine system, and the immune system. In addition to physiological function in health, topics related to pathophysiology and engineering treatment strategies will be examined. Prerequisite: BMEN 3331. (3-0) S

BMEN 3341 Probability Theory and Statistics for Biomedical Engineers (3 semester credit hours) Probability theory, independence, Bayes' rule, normal distribution, central limit theorem. Graphical representation of data. Descriptive and inferential statistics with applications to biomedical engineering, hypothesis testing, confidence intervals, and linear regression. One sample, paired samples, and two independent samples methods. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341 or ENGR 3341) and BMEN 3341. Recommended Corequisite: MATH 2420. Prerequisite: MATH 2414 or MATH 2419. (3-0) S

BMEN 3350 Biomedical Component and System Design (3 semester credit hours) Fundamental knowledge behind the design of biomedical systems for diagnostic and therapeutic devices including wearable applications. Design and implementation of biomedical signal processing. Circuit and system design method for medical devices based on hierarchical design principles. Principles of biosensors and their integration into embedded systems. Quantification and refinement of various sensor parameters. Principles of biomedical signal amplification. Prerequisite: BMEN 3320. (3-0) Y

BMEN 3370 Digital Circuits (3 semester credit hours) Digital circuit design, hardware structures, and hardware description language concepts that underlie the design of modern computer systems and their application to biomedical electronics. Topics include: internal data representation and arithmetic operations in a computer, Boolean logic, combinational logic circuits and sequential circuits. Design of arithmetic circuits, shifters and counters. Design and analysis of synchronous state machines. Hands-on laboratory experiments to design and analyze logic circuits using SSI, MSI and FPGAs. Use of Verilog to design and test circuits. Prerequisites: MATH 2420 and (PHYS 2126 and PHYS 2326). (3-0) Y

BMEN 3380 Medical Imaging Systems and Methods (3 semester credit hours) In this course, the fundamental physical principals of modern medical imaging techniques will be covered, including x-ray, ultrasound, MRI, optical, and nuclear imaging. Emphasis will also be placed on imaging contrast agents, image processing, and multi-modality imaging. Prerequisite: BMEN 3302. (3-0) R

BMEN 3399 Introductory Biomechanics (3 semester credit hours) Application of kinematics, stress, strain, equilibrium, extension, balance relations, and torsion to biosolid and biofluid mechanics. Application to bone and artery loading mechanics. Prerequisite: BMEN 2320. (3-0) S

BMEN 3V99 Topics in Biomedical Engineering (1-4 semester credit hours) May be repeated as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-4]-0) R

BMEN 4301 Introduction to Medical Device Development (3 semester credit hours) This course introduces students to some of the many factors influencing the design and development of medical devices over a product's lifespan. This course will examine medical devices in regards to ethics, entrepreneurship, clinical studies, regulatory affairs, and quality assurances. In addition to familiarizing students with the process of medical device development, this course helps students explore the variety of career options available to biomedical engineers. Prerequisites: RHET 1302 and Junior standing. (3-0) S

BMEN 4310 Feedback Systems in Biomedical Engineering (3 semester credit hours) Notions of inputs, outputs, and states. Linearity versus nonlinearity. Deterministic versus stochastic systems. Top-down versus bottom-up modeling. Sensitivity and reduction of sensitivity via feedback. Introduction to stability. Feedback for stabilization and disturbance rejection. Numerical simulation and controller design via computational approaches. It is strongly recommended that students take this course prior to BMEN 4388. Prerequisites: ENGR 2300 and BMEN 3302 and MATH 2420. (3-0) Y

BMEN 4341 Immunoengineering (3 semester credit hours) Immunoengineering is an emerging discipline that creates and applies engineering tools and principles to investigate and modulate the immune system. In this class, we will learn the basic concepts and terminology of immunology, as well as review cutting-edge immunoengineering tools that are used to improve human health. Prerequisite: BMEN 3331. (3-0) Y

BMEN 4343 Microfluidics in Biomedical Engineering (3 semester credit hours) Explores the application of microfluidic devices used in biomedical engineering. Topics include building blocks of microfluidic devices, how they are constructed, and the principles governing their operation and performance. Emphasis is placed on the fundamental principles of these microdevices in order to highlight technical challenges and opportunities that biomedical microdevices bring to life and medical sciences. The lab portion of this course explores wet lab techniques and the fabrication of biomedical microdevices. Lab fee of $30 required. Prerequisites: BMEN 1208 and MATH 2420 (or equivalent). (2-3) S

BMEN 4355 Finite Element Analysis in Biomedical Engineering (3 semester credit hours) The course will provide an introduction to the finite element method with an emphasis on applications in biomedical engineering. Traditionally rooted in structural engineering, finite element methods are used in simulating the mechanical response of the human body and medical devices. Theories will be reinforced through practical applications primarily using commercial simulation software. The course will also briefly cover methods of creating computational models from medical image sets. Prerequisites: (BMEN 3399 and ENGR 2300) or (senior status and instructor consent required). (3-0) Y

BMEN 4360 Biomaterials and Medical Devices (3 semester credit hours) Introduction to the field of biomaterials used in the design and engineering of medical devices, and to augment or replace soft and hard tissues. Discussion of bulk properties, applications, and in vivo behavior of different classes of natural and synthetic biomaterials. Analysis of biological response and biocompatibility, degradation and failure processes of implantable biomaterials/devices. Overview of regulatory compliance and performance requirements for commercialization of biomaterials and medical devices. Prerequisites or Corequisites: BMEN 2320 and (CHEM 1301 or (CHEM 1311 and CHEM 1312)) and (CHEM 2324 or (CHEM 2323 and CHEM 2325)). (3-0) Y

BMEN 4370 Biomedical Image Processing (3 semester credit hours) This course covers basic digital image processing techniques used for the analysis of biomedical images. Topics include a general introduction to the various biomedical imaging modalities, digital image fundamentals, intensity transformations, spatial and frequency domain filtering, image restoration and reconstruction, color image processing, image segmentation, and 3D data visualization. A large percentage of the course grade is based on laboratory exercises, which require students to program image processing techniques using MATLAB and apply them to digital images. Prerequisites: BMEN 3302 and experience with MATLAB Programming. (3-0) Y

BMEN 4371 Introduction to Biophotonics (3 semester credit hours) Biophotonics creates opportunities for physicists, chemists, engineers, health professionals, and biomedical researchers. This course encompasses the fundamentals and various applications, covering a broad range of topics including light-matter interactions, bioimaging, optical biosensors, optical biomaterials, and laser surgery. Prerequisites: PHYS 2326 and experience with MATLAB Programming. (3-0) Y

BMEN 4375 Biomedical Engineering Data Analysis (3 semester credit hours) This course will introduce students to the data analysis techniques that are used by Biomedical Engineers to evaluate the large data streams that are being generated in the medical field related to genomic data, sensor data, and health care data. These techniques include pre-processing techniques, machine learning data analysis, and data visualization techniques. (3-0) Y

BMEN 4388 Senior Design Project I (3 semester credit hours) Application of the engineering design process to a two-semester, team-based design project. Application of standard industrial practices and methods to examine real world and multiple design constraints. Considers design constraints including economic, environmental, industrial standards, team time/resource management and cross-disciplinary/departmental result integration. Cross-disciplinary/departmental teams are encouraged but not required. Includes written and oral communication of project progress; completion of initial designs; and determination of constraints. BMEN 4310 strongly recommended prior to this course. Prerequisites: BMEN 3200 and BMEN 3332 and ECS 2390. (3-0) F

BMEN 4389 Senior Design Project II (3 semester credit hours) Continuation of the Senior Design project. Includes completion of project begun in BMEN 4388; prototype building and testing; and written and oral communication of project outcomes. Prerequisite: BMEN 4388. (3-0) S

BMEN 4399 Senior Honors in Biomedical Engineering (3 semester credit hours) For students conducting independent research for honors theses or projects. Instructor consent required. (3-0) R

BMEN 4V95 Undergraduate Topics in Biomedical Engineering (1-6 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-6]-0) R

BMEN 4V97 Independent Study in Biomedical Engineering (1-6 semester credit hours) Independent study under an instructor's direction. Deliverables may include a written report, publication, conference presentation/proceedings, or other presentation. May be used as an honors course. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-6]-0) R

Computer Engineering

CE 1100 Introduction to Electrical and Computer Engineering (1 semester credit hour) Introduction to discipline and practice of Electrical and Computer Engineering. Basic study, problem solving, and other skills needed to succeed as an EE or CE major including an introduction to laboratory instruments and measurement techniques. Introduction to professional ethics, EE and CE engineering design and quantitative methods; team projects designed to replicate the decision process in real-world applications of the EE and CE engineering process. BMEN 1100 or CS 1200 or EE 1100 or MECH 1100 can substitute for this course. Credit cannot be received for more than one of the following: BMEN 1100 or CE 1100 or CS 1200 or EE 1100 or MECH 1100. (Same as EE 1100) (1-1) Y

CE 1202 Introduction to Electrical and Computer Engineering II (2 semester credit hours) Course introduces the discipline of engineering. It includes a 1.5-hour lecture per week plus a 1.5-hour fundamentals laboratory that stresses learning about laboratory procedures and equipment. Topics include: Learning the use of common laboratory electronic equipment; understanding the assembly of electronic circuits; and making various measurements. Students also learn how to work together with a partner and how to write a laboratory report. The lecture introduces general engineering practices and engineering research at UT Dallas. The course also includes lectures and projects on communication. May be taken by students outside of engineering in order to learn about the engineering profession. Lab fee of $30 required. A subscription to McGraw Hill Connect is required for the course Prerequisite: CE 1100 or equivalent. (Same as EE 1202) (1.5-3) S

CE 1337 (COSC 1337) Computer Science I (3 semester credit hours) Review of control structures and data types with emphasis on structured data types. Applies the object-oriented programming paradigm, focusing on the definition and use of classes along with the fundamentals of object-oriented design. Includes basic analysis of algorithms, searching and sorting techniques, and an introduction to software engineering. Programming language of choice is C/C++. Students will also be registered for an exam section. Prerequisite: CS 1436 with a grade of C or better or equivalent. (Same as CS 1337) (3-0) S

CE 2301 (ENGR 2305) Electrical Network Analysis (3 semester credit hours) Electrical Network Analysis (3 semester credit hours) Analysis of resistive networks. Mesh and nodal analysis. Analysis of two-port elements including Op-Amps. Analysis of first and second order circuits in time domain (RL, RC, and RLC). Steady state sinusoidal analysis of passive networks using phasor technique. Prerequisites: MATH 2420 and PHYS 2326. (Same as EE 2301) (3-0) S

CE 2302 Programming Fundamentals for Electrical and Computer Engineers (3 semester credit hours) Explore basic problem solving, design, and implementation techniques for imperative programming; structured programming in the C/C++ language; and introduce the fundamental concepts of structured programming. Topics include software development methodologies, data types, control structures, functions, arrays, and the mechanics of running, testing, and debugging- elementary data structures as well as asymptotic analysis. Topics also include recursion, as well as fundamental data structures such as stacks, queues, and linked lists. Programming languages include C/C++ and Rust. (Same as EE 2302) (3-0) S

CE 2305 (MATH 2305) Discrete Mathematics for Computing I (3 semester credit hours) Principles of counting. Boolean operations. Logic and proof methods. Recurrence relations. Sets, relations, functions. Elementary graph theory. Elementary number theory. Prerequisite: (MATH 2413 or MATH 2417) with a grade of C or better. (Same as CS 2305) (3-0) S

CE 2310 (ENGR 2306) Introduction to Digital Systems (3 semester credit hours) Includes a 3 hour lecture per week plus a 1.5 hour laboratory that stress understanding of the topics covered in lecture. Topics include: Boolean algebra and combinational logic, internal data representation and arithmetic operations in a computer, as well as functions of basic datapath elements and how they can be incorporated into a simple processor. Prerequisite: CE 1202 or EE 1202 (Same as EE 2310) (3-1) S

CE 2336 (COSC 2336) Computer Science II (3 semester credit hours) Further applications of programming techniques, introducing the fundamental concepts of data structures and algorithms. Topics include recursion, fundamental data structures (including stacks, queues, linked lists, hash tables, trees, and graphs), and algorithmic analysis. Includes comprehensive programming projects. Programming language of choice is Java. Credit cannot be received for both CS 2337 and (CS 2336 or CE 2336). Prerequisite: (CE 1337 or CS 1337) with a grade of C or better. (Same as CS 2336) (3-0) S

CE 3161 Social Issues and Ethics in Engineering (1 semester credit hour) This course exposes students to major theoretical frameworks and principles of ethics to recognize and analyze a range of social and professional issues faced by engineers. Issues of personal and professional ethics, computer security and reliability, privacy, intellectual property, the balance between risk and benefits are examined using real and hypothetical cases with emphasis on formulating arguments that support informed judgments. (Same as EE 3161) (1-0) S

CE 3201 Electrical and Computer Engineering Fundamentals-I Laboratory (2 semester credit hours) Introduction to the fundamental building blocks of laboratory measurements and data analysis in Electrical and Computer Engineering. Lab fee of $30 required. Prerequisites: (CE 1202 or EE 1202) and RHET 1302. Prerequisite or Corequisite: (EE 2301 or CE 2301) and (EE 3320 or CE 3320). (Same as EE 3201) (1-3) S

CE 3202 Electrical and Computer Engineering Fundamentals-II Laboratory (2 semester credit hours) Introduction to more advanced building blocks of laboratory measurements and data analysis in Electrical and Computer Engineering. Lab fee of $30 required. Prerequisite: CE 3201 or EE 3201. Corequisite: ECS 2390. (Same as EE 3202) (1-3) S

CE 3300 Advanced Engineering Mathematics (3 semester credit hours) Triple Integrals in rectangular, cylindrical, and spherical coordinates, advanced vector calculus, complex numbers, complex valued functions, Fourier analysis, and partial differential equations. Examples are provided from Electrical Engineering and other Engineering applications. Includes a required laboratory. Prerequisites: (MATH 2415 or MATH 2419 or equivalent) and ENGR 2300. Prerequisite or Corequisite: MATH 2420. (Same as EE 3300) (3-1) S

CE 3303 Discrete-Time Signals and Systems (3 semester credit hours) Students learn the fundamentals of discrete-time signals and systems. Complex numbers, sampling and analog to digital signal conversion, digital signals and discrete-time linear time-invariant systems, linear difference equations, convolution, z-transform and transfer function, discrete-time Fourier transform, discrete Fourier transform, fast Fourier transform, digital images and two-dimensional discrete Fourier transform. Credit cannot be received for more than one of the following: BMEN 3302 or CE 3303 or EE 3302. Credit cannot be received for both CE 3303 and EE 4361. Prerequisite: MATH 2420. (3-0) S

CE 3310 Electronic Devices (3 semester credit hours) Theory and application of solid state electronic devices. Physical principles of carrier motion in semiconductors leading to operating principles and circuit models for diodes, bipolar transistors, and field effect transistors. Introduction to integrated circuits. Prerequisites: MATH 2420 and PHYS 2326 and (CE 2301 or EE 2301). (Same as EE 3310) (3-0) S

CE 3311 Electronic Circuits (3 semester credit hours) Large-signal and small-signal characteristics of diodes, BJT and MOSFET transistors. Analysis of circuits containing diodes. Analysis of the DC and small-signal characteristics of single-stage BJT and MOSFET amplifiers. Analysis of circuits with an operational amplifier as a black box. Introduction of high-frequency models of BJT and MOSFET transistors and methods to analyze amplifier frequency response. Prerequisite: CE 2301 or EE 2301. (Same as EE 3311) (3-0) S

CE 3320 Digital Circuits (3 semester credit hours) Design and analysis of combinational logic circuits using basic logic gates and other building blocks like multiplexers and ROMs. Design and analysis of latches and flip-flops. Design and analysis of synchronous state machines. State minimization and introduction to state assignment. Design of datapath components: adders, multipliers, registers, shifters, and counters. Electrical properties of logic gates. Credit cannot be received for both courses, CS 4341 and CE 3320. Prerequisite: CE 2310 or EE 2310. (Same as EE 3320) (3-0) S

CE 3345 Data Structures and Foundations of Algorithmic Analysis (3 semester credit hours) Analysis of algorithms including time complexity and Big-O notation. Analysis of stacks, queues, and trees, including B-trees. Heaps, hashing, and advanced sorting techniques. Disjoint sets and graphs. Course emphasizes design and implementation. Prerequisites: (CE 2305 or CS 2305 or MATH 3315) with a grade of C or better, and (CE 2336 or CS 2336 or CS 2337) with a grade of C or better. (Same as CS 3345 and SE 3345) (3-0) S

CE 3354 Software Engineering (3 semester credit hours) Foundations of software life cycle models. Software requirements engineering, formal specification, and validation. Techniques for software design and testing. Cost estimation models. Issues in software quality assurance and software maintenance. Prerequisites: (CE 2305 or CS 2305) with a grade of C or better and (CE 2336 or CS 2336 or CS 2337 or CS 3333) with a grade of C or better and ECS 2390 with a grade of C or better. (Same as CS 3354 and SE 3354) (3-0) S

CE 4201 Electrical and Computer Engineering Laboratory in Computing Systems and Computer Engineering (2 semester credit hours) Laboratory topics in Computing Systems and Computer Engineering. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as EE 4201) (1-3) S

CE 4202 Electrical and Computer Engineering Laboratory in Circuits (2 semester credit hours) Laboratory topics in Circuits. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as EE 4202) (1-3) S

CE 4203 Electrical and Computer Engineering Laboratory in Signals and Systems (2 semester credit hours) Laboratory topics in Signals and Systems. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. Corequisite: CE 3303. (Same as EE 4203) (1-3) S

CE 4204 Electrical and Computer Engineering Laboratory in Devices (2 semester credit hours) Laboratory topics in Devices. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as EE 4204) (1-3) S

CE 4205 Electrical and Computer Engineering Laboratory in Power Electronics and Energy Systems (2 semester credit hours) Laboratory topics in Power Electronics and Energy Systems. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as EE 4205) (1-3) S

CE 4304 Computer Architecture (3 semester credit hours) Introduction to computer organization and design, including the following topics: CPU performance analysis. Instruction set design, illustrated by the MIPS instruction set architecture. Systems-level view of computer arithmetic. Design of the datapath and control for a simple processor. Pipelining. Hierarchical memory. I/O systems. I/O performance analysis. Multiprocessing. Credit cannot be received for both courses, (CS 2340 or SE 2340) and (CE 4304 or EE 4304). Prerequisite: CE 3320 or EE 3320. (Same as EE 4304) (3-0) S

CE 4331 Applied Machine Learning (3 semester credit hours) Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. Prerequisites: (MATH 2414 or MATH 2417) and ENGR 2300 and ENGR 3341. (Same as EE 4331) (3-0) S

CE 4337 Programming Language Paradigms (3 semester credit hours) Principles of design and implementation of contemporary programming languages. Formal description including specification of syntax and semantics of programming languages. Language definition structures including binding, scoping, data types, control structures, parameter passing, abstraction mechanism, and run-time considerations. Design issues of different programming languages. Language-based security. Design, implement, and debug programs in various programming language paradigms. Prerequisites: (CE 2336 or CS 2336 or CS 2337 or CS 3333) with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better, and (CS 2340 or SE 2340 or CE 4304 or EE 4304) with a grade of C or better. (Same as CS 4337) (3-0) S

CE 4348 Operating Systems Concepts (3 semester credit hours) An introduction to fundamental concepts in operating systems and how they are realized in a practical operating system such as UNIX. Topics include process management, main memory management, virtual memory, I/O and device drivers, file systems, secondary storage management, and an introduction to critical sections and deadlocks. Prerequisites: (CS 2340 or SE 2340 or equivalent), and (CE 3345 or CS 3345 or SE 3345), and a working knowledge of C and UNIX. (3-0) S

CE 4370 Embedded Systems (3 semester credit hours) An introduction to micro-controllers and their uses. Features commonly found in a micro-controller are discussed, such as: The CPU structure which includes the Program Counter, Stack, Status Register, General Purpose Registers, ALU, Instruction Set. Peripheral devices including general purpose IOs (GPIOs), serial synchronous (e.g. SPI and I2C) and asynchronous communication (UART) interfaces. Different types of Analog to Digital converters (ADC) and Memories (SRAM, DRAM, EPROM, EEPROM). ANSI-C programing language is used to create the binary machine code necessary to program a micro-controller system. Lab fee of $30 required. Prerequisite: CE 3320 or EE 3320. (Same as EE 4370) (3-1) Y

CE 4388 Senior Design Project I (3 semester credit hours) First of two sequential semesters devoted to a team project that engages students in the full engineering design process. The goal of senior design projects is to prepare the student to run/participate in engineering projects related to an appropriate industry. Thus, all project teams are to follow standard industrial practices and methods. Teams must carry the engineering project to completion, examining real world and multiple design constraints, following applicable industrial and business standards. Such constraints may include but are not limited to: economic, environmental, and industrial standards, team time/resource management, and cross-disciplinary/departmental result integration. Students are required to work in teams that include collaborative design interaction. Additionally, cross-disciplinary teams are encouraged but not required. In Senior Design I, project proposals will be written, reviewed, and approved. Initial designs will be completed and corresponding constraints will be determined. All students will participate in a public oral and poster presentation following departmental approved guidelines at a departmental approved time and location. Teams will also submit a written end of semester progress report and documented team communication (complete sets of weekly reports and/or log books) following guidelines approved by the faculty. Prerequisites: ECS 2390 and CE 3161 and CE 3202 and CE 3303 and CE 3311 and CE 3320. (Same as EE 4388) (3-0) S

CE 4389 Senior Design Project II (3 semester credit hours) Continuation of the Senior Design project begun in the previous semester. In Senior Design II, projects based on approved project proposals will be completed. All limitations of the design will be determined and addressed. All students will participate in a public oral presentation following faculty-approved guidelines at a faculty-approved time and location. Teams will also submit a written final report and documented team communication (complete sets of weekly reports and/or log books) following faculty-approved guidelines. Prerequisite: CE 4388 or EE 4388. (Same as EE 4389) (3-0) S

CE 4390 Computer Networks (3 semester credit hours) The design and analysis of computer networks. Topics include the ISO reference model, transmission media, medium-access protocols, LANs, data link protocols, routing, congestion control, internetworking, and connection management. Credit cannot be received for both courses, (CE 4390 or CS 4390) and EE 4390. Prerequisite: (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (Same as CS 4390) (3-0) S

CE 4399 Senior Honors in Computer Engineering (3 semester credit hours) For students conducting independent research for honors theses or projects. Additional prerequisites may be required depending on the specific course topic. (0-3) R

CE 4V95 Undergraduate Topics in Computer Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. ([1-9]-0) R

CE 4V97 Independent Study in Computer Engineering (1-9 semester credit hours) Independent study under a faculty member's direction. May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. Instructor consent required. ([1-9]-0) R

CE 4V98 Undergraduate Research in Computer Engineering (1-9 semester credit hours) Topics will vary from semester to semester. May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. Instructor consent required. ([1-9]-0) R

Computer Science

CS 1134 Computer Science Laboratory (1 semester credit hour) Laboratory course to accompany CS 1334. This course assists students in experiencing elementary programming in a high-level language. May not be used to satisfy degree requirements for majors in the School of Engineering and Computer Science. Credit cannot be received for both courses, CS 1134 and CS 1136. Lab fee of $30 required. Corequisite: CS 1334. (0-3) S

CS 1200 Introduction to Computer Science and Software Engineering (2 semester credit hours) Introduction to the computing professions; overview of Computer Science (CS) and Software Engineering (SE) curricula, connections with Computer Engineering, other Engineering and Computer Science fields, and Arts and Technology programs; problem solving and other skills needed to succeed as a CS or SE major. Introduction to quantitative methods; team projects designed to replicate decision processes and problem solving in real-world situations; additional preparatory topics for CS and SE majors. BMEN 1100 or CE 1100 or EE 1100 or MECH 1100 can substitute for this course (together with 1 hour of CS elective). Credit cannot be received for more than one of the following: BMEN 1100 or CE 1100 or CS 1200 or EE 1100 or MECH 1100. (2-0) Y

CS 1325 (ENGR 2304) Introduction to Programming (3 semester credit hours) Computer programming in a high-level, block structured language. Basic data types and variables, memory usage, control structures, functions/procedures and parameter passing, recursion, input/output. Programming assignments related to engineering applications, numerical methods. May not be used to satisfy degree requirements for majors in Computer Engineering, Computer Science, and Software Engineering. Prerequisite or Corequisite: (MATH 2413 or MATH 2417) with a grade of C or better. (3-0) S

CS 1334 Programming Fundamentals for Non-Majors (3 semester credit hours) Introduction to computers. Primitive data types, variable declarations, variable scope, and primitive operations. Control statements. Methods/functions. Arrays and strings using primitive data arrays. Output formatting. Debugging techniques. Designed for students with no prior computer programming experience. May not be used to satisfy degree requirements for majors in the School of Engineering and Computer Science. Credit cannot be received for both courses, CS 1334 and (CS 1336 or CS 1436). Note that a grade of C or better is required in order to register for CS 1335. Corequisite: CS 1134. (3-0) S

CS 1335 Computer Science I for Non-majors (3 semester credit hours) Introduction to object-oriented software analysis, design, and development. Classes and objects. Object composition and polymorphism. Sorting and searching. Strings using core classes. Inheritance and interfaces. Graphical User Interfaces. May not be used to satisfy degree requirements for majors in the School of Engineering and Computer Science, especially majors in Computer Science and Engineering. Credit cannot be received for both courses, CS 1335 and (CE 1337 or CS 1337). Prerequisite: CS 1334 with a grade of C or better or equivalent. (3-0) S

CS 1337 (COSC 1337) Computer Science I (3 semester credit hours) Review of control structures and data types with emphasis on structured data types. Applies the object-oriented programming paradigm, focusing on the definition and use of classes along with the fundamentals of object-oriented design. Includes basic analysis of algorithms, searching and sorting techniques, and an introduction to software engineering. Programming language of choice is C/C++. Students will also be registered for an exam section. Prerequisite: CS 1436 with a grade of C or better or equivalent. (Same as CE 1337) (3-0) S

CS 1436 (COSC 1436) Programming Fundamentals (4 semester credit hours) Introduces the fundamental concepts of structured programming. Topics include software development methodology, data types, control structures, functions, arrays, and the mechanics of running, testing, and debugging. Programming language of choice is C. The class is open to students in the School of Engineering and Computer Science only. Credit cannot be received for both courses, (CS 1336 and CS 1136) and CS 1436. Note that a grade of C or better in this class is required to register for (CE 1337 or CS 1337). (3-2) S

CS 2305 (MATH 2305) Discrete Mathematics for Computing I (3 semester credit hours) Principles of counting. Boolean operations. Logic and proof methods. Recurrence relations. Sets, relations, functions. Elementary graph theory. Elementary number theory. Prerequisite: (MATH 2413 or MATH 2417) with a grade of C or better. (Same as CE 2305) (3-0) S

CS 2335 Computer Science II for Non-majors (3 semester credit hours) Exceptions and number formatting. File input/output using Stream classes. Implementation of primitive data structures, including linked lists, stacks, queues, and binary trees. Advanced data manipulation using core classes. May not be used to satisfy degree requirements for majors in the School of Engineering and Computer Science. Credit cannot be received for both courses, CS 2335 and (CE 2336 or CS 2336 or CS 2337). Prerequisite: (CS 1335 or CE 1337 or CS 1337) with a grade of C or better. (3-0) S

CS 2336 (COSC 2336) Computer Science II (3 semester credit hours) Further applications of programming techniques, introducing the fundamental concepts of data structures and algorithms. Topics include recursion, fundamental data structures (including stacks, queues, linked lists, hash tables, trees, and graphs), and algorithmic analysis. Includes comprehensive programming projects. Programming language of choice is Java. Credit cannot be received for both CS 2337 and (CS 2336 or CE 2336). Prerequisite: (CE 1337 or CS 1337) with a grade of C or better. (Same as CE 2336) (3-0) S

CS 2337 Computer Science II (3 semester credit hours) Further applications of programming techniques, introducing the fundamental concepts of data structures and algorithms. Topics include recursion, fundamental data structures (including stacks, queues, linked lists, hash tables, trees, and graphs), and algorithmic analysis. Includes comprehensive programming projects. Programming language of choice is C++. Designed for students that already have prior background in Java programming. Credit cannot be received for both CS 2337 and (CS 2336 or CE 2336). Prerequisite: AP score of at least 4. (3-0) S

CS 2340 (COSC 2325) Computer Architecture (3 semester credit hours) Introduces the concepts of computer architecture by going through multiple levels of abstraction, and the numbering systems and their basic computations. Focuses on the instruction-set architecture of the MIPS machine, including MIPS assembly programming, translation between MIPS and C, and between MIPS and machine code. General topics include performance calculation, processor datapath, pipelining, and memory hierarchy. Credit cannot be received for both courses, (CS 2340 or SE 2340) and (CE 4304 or EE 4304). Prerequisites: (CE 1337 or CS 1337 or equivalent) with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better. (Same as SE 2340) (3-0) S

CS 2V95 Undergraduate Topics in Computer Science (1-6 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). ([1-6]-0) R

CS 2V96 Independent Study in Computer Science (1-3 semester credit hours) Individual study under a faculty member's supervision. Usually involves some combination of reading, project, research, and meetings with the faculty member. Student must document computer science content via a written report. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-3]-0) R

CS 3149 Competitive Learning in Computer Science (1 semester credit hour) In this course, students will work together in small teams to solve graduated problems, similar to those used in programming contests around the world. Approaches to categorizing problems and selecting appropriate data structures and algorithms will be covered, along with types of algorithms for solving problems (brute force, greedy, divide and conquer, dynamic programming). Students will do problem solving in a competitive environment against the clock. May be repeated for credit as topics vary (3 semester credit hours maximum). Prerequisites: (CE 2336 or CS 2336 or CS 2337) with a grade of C or better and CS 3305 with a grade of C or better. (1-0) Y

CS 3162 Professional Responsibility in Computer Science and Software Engineering (1 semester credit hour) Professional and ethical responsibilities of computer scientists and software engineers as influenced by growth in computer use and networks. Costs and benefits of computer technology. Risks and liabilities of safety-critical systems. Social implications of the Internet. Interaction between human values and technical decisions involving computing. Intellectual Property. Global impact of computing. Prerequisites: (ECS 2390 and GOVT 2305) with a grade of C or better. (Same as SE 3162) (1-0) S

CS 3305 Discrete Mathematics for Computing II (3 semester credit hours) Advanced counting methods; recurrence relations, divide and conquer algorithms, principle of inclusion and exclusion. Partial orders and lattices, Algorithmic complexity. Graph theory. Strings and languages. Number theory. Elements of modern algebra. Credit cannot be received for both courses, CS 3305 and SE 3306. Double majors are required to take CS 3305. Prerequisites: (CE 2305 or CS 2305) with a grade of C or better, and (MATH 2414 or MATH 2419) with a grade of C or better. (3-0) S

CS 3333 Data Structures (3 semester credit hours) Programming with basic data structures (arrays, stacks, queues, lists, and trees) and their associated algorithms. Various sorting and searching techniques. Fundamental graph algorithms. Covers much of the same material as CS 3345 without requiring the analysis of algorithms. May not be used to satisfy degree requirements for major in Computer Science or Software Engineering. Credit cannot be received for both courses, (CE 2336 or CS 2336 or CS 2337) and CS 3333. Prerequisite: (CS 1335 or CE 1337 or CS 1337 or equivalent programming experience) with a grade of C or better. (3-0) Y

CS 3341 Probability and Statistics in Computer Science and Software Engineering (3 semester credit hours) Axiomatic probability theory, independence, conditional probability. Discrete and continuous random variables, special distributions of importance to CS/SE, and expectation. Simulation of random variables. Central limit theorem. Basic statistical inference, parameter estimation, hypothesis testing, and linear regression. Foundations of stochastic processes. Illustrative examples and simulation exercises from queuing, reliability, and other CS/SE applications. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. Prerequisites: (MATH 1326 or MATH 2414 or MATH 2419) with a grade of C or better, and MATH 2418 with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better. (Same as SE 3341 and STAT 3341) (3-0) S

CS 3345 Data Structures and Foundations of Algorithmic Analysis (3 semester credit hours) Analysis of algorithms including time complexity and Big-O notation. Analysis of stacks, queues, and trees, including B-trees. Heaps, hashing, and advanced sorting techniques. Disjoint sets and graphs. Course emphasizes design and implementation. Prerequisites: (CE 2305 or CS 2305 or MATH 3315) with a grade of C or better, and (CE 2336 or CS 2336 or CS 2337) with a grade of C or better. (Same as CE 3345 and SE 3345) (3-0) S

CS 3349 Competitive Learning in Computer Science (3 semester credit hours) Explores the following topics and their related problems: number theory, combinatorics, divide and conquer technique, dynamic programming technique, greedy algorithms, computational geometry, numerical methods, graph algorithms, network flows, and other advanced computing techniques. Students use various algorithmic problem-solving platforms to quickly develop and implement working solutions for non-trivial computing problems. During the course, students will be required to participate in contests during the class. Prerequisites: (CE 2336 or CS 2336 or CS 2337) with a grade of B or better, and (CE 2305 or CS 2305) with a grade of B or better, and ((CE 3345 or CS 3345 or SE 3345) with a grade of B or better or instructor consent required). (3-0) Y

CS 3354 Software Engineering (3 semester credit hours) Foundations of software life cycle models. Software requirements engineering, formal specification, and validation. Techniques for software design and testing. Cost estimation models. Issues in software quality assurance and software maintenance. Prerequisites: (CE 2305 or CS 2305) with a grade of C or better and (CE 2336 or CS 2336 or CS 2337 or CS 3333) with a grade of C or better and ECS 2390 with a grade of C or better. (Same as CE 3354 and SE 3354) (3-0) S

CS 3360 Computer Graphics for Artists and Designers (3 semester credit hours) Device and logical coordinate systems, and the nature of raster display. Algorithms for basic 2-D drawing primitives, such as line-drawing, clipping and Bezier curves. Perspectives in 3-D, and hidden-face elimination, such as Painter's and Z-Buffer algorithms. Color and texture. Fractals and the Mandelbrot set. May not be used to satisfy degree requirements for majors in the School of Engineering and Computer Science. Prerequisite: CS 2335 with a grade of C or better. (3-0) Y

CS 3377 Systems Programming in UNIX and Other Environments (3 semester credit hours) Basic UNIX concepts, commands, and utilities, organization of UNIX file system including links and access control, creating and managing UNIX processes and threads, implementing algorithms using shell scripts, basic networking concepts including socket and client-server programming, inter-process communication using pipes and signals, using a version control system to manage work, and an overview of cloud computing. Design and implementation of a comprehensive programming project is required. Prerequisite: (CE 2336 or CS 2336 or CS 2337 or equivalent) with a grade of C or better. (Same as SE 3377) (3-0) S

CS 3V95 Undergraduate Topics in Computer Science (1-6 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). ([1-6]-0) R

CS 3V96 Independent Study in Computer Science (1-3 semester credit hours) Individual study under a faculty member's supervision. Usually involves some combination of reading, project, research, and meetings with the faculty member. Student must document computer science content via a written report. May be repeated for credit as topics vary (6 semester credit hours maximum). Prerequisites: Completion of all lower division coursework and instructor consent required. ([1-3]-0) R

CS 4141 Digital Systems Laboratory (1 semester credit hour) Laboratory to accompany CS 4341. The purpose of this laboratory is to give students an intuitive understanding of digital circuits and systems. Laboratory exercises include construction of simple digital logic circuits using prototyping kits and board-level assembly of a personal computer. Lab fee of $30 required. Corequisite: CS 4341. (0-3) S

CS 4301 Special Topics in Computer Science (3 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). Prerequisite: (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (3-0) S

CS 4302 Mathematics of Computing (3 semester credit hours) Covers advanced topics in mathematics relevant to computing. Subject matter will depend on the instructor. Some of the topics that may be covered include combinatorics, number theory, graph theory, geometry, and optimization theory. May be repeated for credit as topics vary (9 semester credit hours maximum). Prerequisites: (MATH 2414 or MATH 2419) with a grade of C or better, and MATH 2418 with a grade of C or better, and ((CE 3345 or CS 3354 or SE 3345) with a grade of C or better, or instructor consent required). (3-0) R

CS 4311 Foundations of Cybersecurity (3 semester credit hours) Principles of computer systems, operating systems, and networking that support modern cybersecurity. Covers the structure and operation of computing systems, networks, and core Internet services, including their interaction and administration. Includes hands-on experience with Linux environments, configuration of networked services, and analysis of security implications related to system design and configuration. Prerequisites: CS 2340 and CS 3345. (3-0) S

CS 4314 Intelligent Systems Analysis (3 semester credit hours) This advanced machine learning course covers mathematics essential for the analysis and design of unsupervised, supervised, and reinforcement machine learning algorithms including deep learning neural network models formulated within a statistical empirical risk minimization framework. Course topics include: advanced vector and matrix calculus and stochastic sequences of mixed random vectors, Markov fields, and Bayesian nets. Unsupervised, supervised, and reinforcement machine learning applications are emphasized throughout the course. Prerequisites: (MATH 2414 or MATH 2419) with a grade of C or better, and (CS 3341 or SE 3341) with a grade of C or better, and (MATH 2418 with a grade of C or better or instructor consent required). (Same as CGS 4314) (3-0) T

CS 4315 Intelligent Systems Design (3 semester credit hours) This advanced machine learning course covers mathematics essential for the analysis and design of unsupervised, supervised, and reinforcement machine learning algorithms including deep learning neural network models formulated within a statistical empirical risk minimization framework. Topics include: convergence analysis of adaptive and batch learning algorithms, Monte Carlo Markov Chain inference algorithms, bootstrap sampling methods, and the statistical analysis of generalization performance using model selection measures such as AIC and BIC. Unsupervised, supervised, and reinforcement machine learning applications are emphasized throughout the course. Prerequisite: (CGS 4314 or CS 4314) with a grade of C or better. (Same as CGS 4315) (3-0) T

CS 4322 Fundamentals of Data and Application Security (3 semester credit hours) Provides a comprehensive foundation in data and application security, emphasizing both core principles and emerging technologies. By incorporating key security primitives, students develop practical skills in securing applications, managing data privacy, and defending against modern threats. The course explores secure software design, web and database security, and the use of emerging technologies to address modern security challenges. Regulatory and compliance requirements are also examined. Prerequisite: CS 3345. (3-0) S

CS 4332 Foundations of Programming Video Games (3 semester credit hours) Video game programming concepts. Programming with game engine. 2D and 3D computer graphics techniques and data structures. Computer animation, physics-based methods and collision detection. GPU and shader programming. Artificial intelligence for video games. Networking and multiplayer. Prerequisite: (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (3-0) Y

CS 4334 Numerical Analysis (3 semester credit hours) Solution of linear equations, roots of polynomial equations, interpolation and approximation, numerical differentiation and integration, solution of ordinary differential equations, computer arithmetic, and error analysis. Prerequisites: (MATH 2370 or CS 1325 or CE 1337 or CS 1337) with a grade of C or better, and MATH 2418 with a grade of C or better, and (MATH 2451 or MATH 3351) with a grade of C or better. (Same as MATH 4334) (3-0) Y

CS 4336 Advanced Java (3 semester credit hours) Advanced Java programming techniques for enterprise application development. Covers Java Enterprise API's for working with databases, web servers, and application servers. Students will create multi-tiered web applications and web services integrated with a database. Prerequisite: (CE 2336 or CS 2336 or CS 2337 or equivalent) with a grade of C or better. (3-0) T

CS 4337 Programming Language Paradigms (3 semester credit hours) Principles of design and implementation of contemporary programming languages. Formal description including specification of syntax and semantics of programming languages. Language definition structures including binding, scoping, data types, control structures, parameter passing, abstraction mechanism, and run-time considerations. Design issues of different programming languages. Language-based security. Design, implement, and debug programs in various programming language paradigms. Prerequisites: (CE 2336 or CS 2336 or CS 2337 or CS 3333) with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better, and (CS 2340 or SE 2340 or CE 4304 or EE 4304) with a grade of C or better. (Same as CE 4337) (3-0) S

CS 4339 Web Programming Languages (3 semester credit hours) Provides a detailed presentation and understanding of web architecture, standards, protocols, tools, and technologies. Overview of basic tools required for web programming, including HTML, CSS, JavaScript, XML, database technologies, server-side programming, web security, and cloud computing. Prerequisite: (CS 4347 or SE 4347) with a grade of C or better. (3-0) Y

CS 4341 Digital Logic and Computer Design (3 semester credit hours) Boolean algebra and logic circuits; synchronous sequential circuits; gate level design of ALSU, registers, and memory unit; register transfer operations; design of data path and control unit for a small computer; Input-Output interface. Credit cannot be received for both courses, CS 4341 and (CE 3320 or EE 3320). Prerequisites: (CE 2310 or EE 2310 or CS 2340 or SE 2340) with a grade of C or better, and PHYS 2326 with a grade of C or better. Corequisite: CS 4141. (3-0) S

CS 4344 Trustworthy and Secure AI/ML (3 semester credit hours) Principles and practices of trustworthy and secure AI/ML, including foundational concepts in machine learning and deep learning; the three core dimensions of trustworthy and secure AI (i.e., robustness, transparency, and accountability) and how they interact; and a holistic perspective on developing and deploying AI systems that are both trustworthy and secure. Prerequisites: CS 2305 and CS 3341. (3-0) S

CS 4347 Database Systems (3 semester credit hours) Emphasizes the concepts and structures necessary for the design and implementation of database management systems. Topics include data models, data normalization, data description languages, query facilities, file organization, index organization, file security, data integrity, and reliability. Prerequisite: (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (Same as SE 4347) (3-0) Y

CS 4348 Operating Systems Concepts (3 semester credit hours) Fundamental concepts in operating systems: their design, implementation, and usage. Topics include process management, main memory management, virtual memory, I/O and device drivers, file systems, secondary storage management, and foundations of critical sections and deadlocks. Prerequisites: (CS 2340 or SE 2340 or equivalent) with a grade of C or better and (CS 3377 or SE 3377) with a grade of C or better and (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (Same as SE 4348) (3-0) S

CS 4349 Advanced Algorithm Design and Analysis (3 semester credit hours) Asymptomatic analysis, recurrences, and graph algorithms. Algorithm design techniques such as greedy method, dynamic programming, and divide-and-conquer. Issues from computational complexity. Course emphasizes a theoretical approach. Prerequisites: (CE 2305 or CS 2305) with a grade of C or better, and (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (3-0) S

CS 4352 Foundations of Human-Computer Interaction (3 semester credit hours) Broad overview of how human-computer interaction (HCI) informs the user-centered design (UCD) process. Practical experience in the core methods of user experience design and research throughout the product development cycle. Prerequisite: (CE 1337 or CS 1337) with a grade of C or better. (Same as CGS 4352) (3-0) Y

CS 4355 Foundations of Digital Forensics and Incidence Response (3 semester credit hours) Integration of technical and operational aspects of cybersecurity defense. Covers system monitoring, intrusion detection, evidence analysis, and incident response. Includes practical application through security operations center (SOC)-style laboratories and simulated incident scenarios. Prerequisite: CS 4311. (3-0) S

CS 4361 Computer Graphics (3 semester credit hours) Review of graphic display architecture and graphic input devices. Two- and three-dimensional transformations, matrix formulations, and concatenation. Clipping and windowing. Data structures for graphics systems, segmented display files, rings, etc. Hidden line and surface elimination. Shading. Graphics packages and applications. Prerequisites: MATH 2418 with a grade of C or better and (CE 2336 or CS 2336 or CS 2337) with a grade of C or better and (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) Y

CS 4365 Artificial Intelligence (3 semester credit hours) Basic concepts and techniques that enable computers to perform intelligent tasks. Examples are taken from areas such as natural language understanding, computer vision, machine learning, search strategies and control, logic, and theorem proving. Prerequisite: (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) Y

CS 4371 Foundations of Big Data Management and Analytics (3 semester credit hours) Focuses on scalable data management and mining algorithms for analyzing very large amounts of data (i.e., Big Data). Included topics are: Mapreduce, NoSQL systems (e.g., key-value stores, column-oriented data stores, stream processing systems), association rule mining, large scale supervised and unsupervised learning, and applications including recommendation systems, web and big data security. Prerequisites: (CS 2336 or CS 2337) with a grade of C or better, and CS 4347 with a grade of C or better. (3-0) Y

CS 4372 Computational Methods for Data Scientists (3 semester credit hours) Focuses on the application of computational tools to solve machine learning problems. Applicable languages may include Python, 'R', Weka, or others at the discretion of the instructor. Students will use these languages to apply machine learning concepts to problem data sets. Prerequisite: CS 4375 with a grade of C or better. (3-0) Y

CS 4375 Foundations of Machine Learning (3 semester credit hours) Algorithms for creating computer programs that can improve their performance through learning. Topics include: cross-validation, decision trees, neural nets, statistical tests, Bayesian learning, computational learning theory, instance-based learning, reinforcement learning, bagging, boosting, support vector machines, Hidden Markov Models, clustering, and semi-supervised and unsupervised learning techniques. Prerequisites: (CS 3341 or SE 3341 or STAT 3355) with a grade of C or better and (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) Y

CS 4376 Object-Oriented Design (3 semester credit hours) In-depth study of the features/advantages of the object-oriented approach to problem solving. Special emphasis on issues of object-oriented analysis, design, implementation, and testing. Review of basic concepts of object-oriented technology (abstraction, inheritance, and polymorphism). Object-oriented programming languages, databases, and productivity tools. Prerequisites: (CE 2336 or CS 2336 or CS 2337 or equivalent) with a grade of C or better, and (CE 3354 or CS 3354 or SE 3354) with a grade of C or better. (Same as SE 4376) (3-0) S

CS 4381 Quantum Computing (3 semester credit hours) Presents the mathematical formalism of quantum mechanics, design and analysis of quantum circuits, implementation of quantum programs, analysis of elementary quantum algorithms, including quantum search, quantum Fourier transformation, and phase estimation. The current limitations of quantum computing and techniques for overcoming these limitations will also be covered. Prerequisites: (MATH 2418 or ENGR 2300) with a grade of C or better and CS 4349 with a grade of C or better. (3-0) R

CS 4384 Automata Theory (3 semester credit hours) A review of the abstract notions encountered in machine computation. Deterministic and nondeterministic finite automata; regular expressions, regular sets, context-free grammars, pushdown automata, context-free languages. Selected topics from Turing Machines and undecidability. Prerequisite: (CE 2305 or CS 2305) with a grade of C or better. (3-0) S

CS 4386 Compiler Design (3 semester credit hours) Basic phases of a compiler and their design principles. Topics include lexical analysis, basic parsing techniques such as LR(K) and LL(K) grammars. Prerequisite: (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) R

CS 4389 Data and Applications Security (3 semester credit hours) Data as a critical resource. Threats to data and applications security, including access control violations, integrity violations, unauthorized intrusions, and sabotage; techniques to enforce security. Prerequisite: (CS 4347 or SE 4347) with a grade of C or better. (3-0) Y

CS 4390 Computer Networks (3 semester credit hours) The design and analysis of computer networks. Topics include the ISO reference model, transmission media, medium-access protocols, LANs, data link protocols, routing, congestion control, internetworking, and connection management. Credit cannot be received for both courses, (CE 4390 or CS 4390) and EE 4390. Prerequisite: (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (Same as CE 4390) (3-0) S

CS 4391 Foundations of Computer Vision (3 semester credit hours) Techniques for manipulating and extracting information from digital images and video. Topics include color representations, analysis and processing based on image histograms, geometric transformations, convolutions, image blurring and sharpening, extraction of edges, matching, image and video motion. Prerequisite: (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) Y

CS 4392 Computer Animation (3 semester credit hours) Foundations of traditional animation. Kinematics of motion. Key framing. Coordinate systems and transformations (review), Euler angles and Quaternions, Catmull Rom and B-Splines, Advanced Key framing, articulated figures (forward kinematics), human and animal modeling (soft tissue, skin, etc.). Facial animation (parametric). Physically based modeling (rigid, collision detection). Physically based modeling (deformable). Behavioral and heuristic models. Algorithmic animation. Optimization techniques. Animation languages and systems. Motion capture and real time control. Virtual reality and animation. Rendering and temporal aliasing. 2D and 3D morphing. 3D modeling. Prerequisites: MATH 2418 with a grade of C or better and (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) Y

CS 4393 Computer and Network Security (3 semester credit hours) The study of security and vulnerabilities in computer and network systems. Common attacking techniques such as buffer overflow, viruses, worms, etc. Security in existing systems such as UNIX, Windows, and JVM. Fundamental access control and information flow concepts. Symmetric Ciphers such as DES and AES. Public-key encryption techniques and related number theory. Message authentication, hash functions, and digital signatures. Authentication applications, IP security, and Web security. Prerequisites: (CE 4348 or CS 4348 or SE 4348 or equivalent) with a grade of C or better and (CE 4390 or CS 4390 or equivalent) with a grade of C or better. (3-0) Y

CS 4394 Implementation of Modern Operating Systems (3 semester credit hours) Focuses on developing systems implementation skills through a set of projects. Each project will explore one fundamental component of operating systems, such as process scheduling, memory management, device drivers, file systems, and network communication management. The projects are expected to involve kernel-level programming. Prerequisite: (CE 4348 or CS 4348 or SE 4348 or equivalent) with a grade of C or better. (3-0) R

CS 4395 Human Language Technologies (3 semester credit hours) Foundations of human language technologies (HLT), the study of natural languages from a computational perspective. Topics include computational models of syntax and semantics, natural language applications (such as machine translation, speech processing, information retrieval, and information extraction), and general machine-learning techniques commonly used in state-of-the-art HLT research. Prerequisites: (CS 3341 or SE 3341) with a grade of C or better and (CE 3345 or CS 3345 or SE 3345 or equivalent) with a grade of C or better. (3-0) Y

CS 4396 Networking Laboratory (3 semester credit hours) Takes a lab-oriented approach to demonstrate how basic networking concepts are applied in a real network. The hands-on projects include setting up simple network topologies, configuring devices to run basic network protocols, and using various debugging tools to identify, locate, and fix common problems in networking. Prerequisite: (CS 4390 or equivalent) with a grade of C or better. (3-0) Y

CS 4397 Embedded Computer Systems (3 semester credit hours) Foundations of embedded computer applications and concepts. Real-time operating systems and resource management. Real-time scheduling and communication. Senior data acquisition, processing, and fusion. Error handling, fault tolerance, and graceful degradation. System performance analysis and optimization techniques. Includes a project to develop and analyze a small embedded computer application. Prerequisite: (CE 4348 or CS 4348 or SE 4348 or equivalent) with a grade of C or better. (3-0) Y

CS 4398 Digital Forensics (3 semester credit hours) Creating and preserving digital evidence, data recovery and evidence collection algorithms, evidence construction and reconstruction, methods for certifying evidence, storing evidence, data acquisition, forensic analysis algorithms, image files, network forensics, logging methods to trace back attacks and digital trails, e-mail investigations. Prerequisites: (CE 4348 or CS 4348 or SE 4348) with a grade of C or better and (CE 4390 or CS 4390 or equivalent) with a grade of C or better. (3-0) Y

CS 4399 Thesis Research in Computer Science (3 semester credit hours) Students design and carry out a research project and write a thesis on the topic of their choice, under the close supervision of a faculty member during their final year. Department consent required. (3-0) R

CS 4459 Cyber Attack and Defense Laboratory (4 semester credit hours) Aims to teach a wide spectrum of offensive techniques and their defenses for computer systems. In particular, the course will cover introductory (e.g., stack overflow, shellcode) to intermediary level (e.g., heap exploits) binary reversing and pwning techniques, which include vulnerability analysis, exploit development, patching vulnerabilities, bug hunting, etc. The course comprises eight units of hands-on labs with Capture-The-Flag (CTF) style challenges. The course will be hands-on heavy and will require students to work on a series of in-class and out-of-class CTF style challenges. Prerequisites: (CS 2340 or SE 2340) with a grade of C or better and (CS 3345 or SE 3345) with a grade of C or better and (CS 3377 or SE 3377) with a grade of C or better. (3-2) Y

CS 4475 Capstone Project (4 semester credit hours) Intended to provide hands-on experience in a data science project. Students work in teams on projects and are involved in formulating a relevant problem, collecting the requisite data, finding a solution, and developing the necessary computational tools. The deliverables will include a final project report that details these steps and presentation of the project. Prerequisites: (STAT 4355 and CS 4375) with a grade of C or better. (Same as MATH 4475 and STAT 4475) (4-0) S

CS 4485 Computer Science Project (4 semester credit hours) An in-depth, hands-on software development experience that complements theoretical studies. Team-based project work spans requirements specification, solution design and analysis, system architecture, implementation, and testing of a complete software system. Deliverables consist of technical documentation, a final project report, and a user manual. Project activities address security considerations and societal impact, and include formal presentation and demonstration of the developed software. Professional topics include ethics, professional responsibility, entrepreneurship, leadership, and project management. Prerequisites: (CE 3345 or CS 3345 or SE 3345) with a grade of C or better, (CE 3354 or CS 3354 or SE 3354 or equivalent) with a grade of C or better, and at least 9 credit hours of CS 4XXX coursework with a grade of C or better. (4-0) S

CS 4V95 Undergraduate Topics in Computer Science (1-9 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). Prerequisite: (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. ([1-9]-0) R

CS 4V96 Independent Study in Computer Science (1-3 semester credit hours) Individual study under a faculty member's supervision. Usually involves some combination of reading, project, research, and meetings with the faculty member. Student must document computer science content via a written report. Can be counted towards technical elective requirements. May be repeated for credit as topics vary (6 semester credit hours maximum for CS 4V96 and CS 4V98 combined). Prerequisites: Completion of all lower division coursework and instructor consent required. ([1-3]-0) R

CS 4V98 Undergraduate Research in Computer Science (1-6 semester credit hours) Independent research under the guidance of a faculty member on advanced topics in computer science. Can be counted towards technical elective requirements. May be repeated for credit as topics vary (6 semester credit hours maximum for CS 4V96 and CS 4V98 combined). Prerequisites: Completion of all lower division coursework and instructor consent required. ([1-6]-0) R

Engineering and Computer Science

ECS 1100 Introduction to Engineering and Computer Science (1 semester credit hour) Introduction to engineering and computing careers; overview of Engineering and Computer Science (ECS) curricula, connections among ECS fields and to the sciences, and other fields; basic study, problem solving, and other skills needed to succeed as an ECS major. (1-1) Y

ECS 1192 RIDE Experience (1 semester credit hour) The RIDE projects are faculty-led, team explorations for research, inquiry, or design. The projects are intended to be multi-semester, so students can continue working on their projects. These are transdisciplinary and multi-generational projects. Each project will be assessed by the faculty coach. May be repeated for credit (2 semester credit hours maximum). ([0-1]-[0-3]) R

ECS 1210 Foundations in Engineering and Computer Science I (2 semester credit hours) Introduction to computational and design thinking through programming fundamentals, including data types, arrays, input/output, functions, and recursion. Algorithmic and systems thinking through computational tools. Collaborative and hands-on problem solving in engineering and computer science through reverse engineering of physical systems. Lab fee of $50 required. (1-2) S

ECS 1220 Foundations in Engineering and Computer Science II (2 semester credit hours) Software systems and multidisciplinary applications through reverse engineering and problem-solving using computational tools. Open-ended collaborative design with introduction to emerging topics in engineering and computer science. Lab fee of $50 required. Prerequisite: ECS 1210. (1-2) S

ECS 2192 Research, Inquiry, Design Experience (1 semester credit hour) The RIDE projects are faculty led, team explorations for research, inquiry, or design. The projects are intended to be multi-semester so that students can continue working on the projects. These are transdisciplinary and multi-generational projects. Each project will be assessed by the faculty coach. May be repeated for credit (4 semester credit hours maximum). ([0-1]-[0-3]) R

ECS 2361 Social Issues and Ethics in Science and Technology (3 semester credit hours) This course exposes students to major theoretical approaches and professional codes of ethics and how they may be applied to explore a range of important social issues in the information age. Issues of professional ethics, computer crime and privacy, intellectual property, the balance between the acceptability of risk and constraints such as cost, scheduling, safety and quality, the role of globalization and various important constitutional issues are explored by drawing upon case studies. Prerequisite: Completion of an 030 core course. (3-0) Y

ECS 2390 Professional and Technical Communication (3 semester credit hours) Expands students' professional and team communication skills and strategies in technical contexts. Integrates writing, speaking and group communication by developing and presenting technical information to different audiences. Written assignments focus on creating professional technical documents, such as proposals, memos, abstracts, reports and letters. Presentation assignments emphasize planning, preparing and delivering dynamic, informative and persuasive presentations. Attendance at first class mandatory. Prerequisites: RHET 1302 (3-0) S

ECS 3292 Research, Inquiry, Design Experience (2 semester credit hours) The RIDE projects are faculty-led, team explorations for research, inquiry, or design. The projects are intended to be multi-semester so that students can continue working on the projects. These are transdisciplinary and multi-generational projects. Each project will be assessed by the faculty coach. May be repeated for credit (6 semester credit hours maximum). Prerequisite: ECS 1192 or ECS 2192. ([0-2]-[0-5]) R

ECS 3301 Introduction to Nanoscience and Nanotechnology (3 semester credit hours) Introduction to the underlying principles and applications of the emerging field of nanotechnology and nanoscience. Intended for a multidisciplinary audience with a variety of backgrounds. Introduces tools and principles relevant at the nanoscale dimension. Discusses current and future nanotechnology applications in engineering, materials, physics, chemistry, biology, electronics, and energy. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422) or instructor consent required. (Same as MSEN 3301) (3-0) Y

ECS 3310 Introduction to Materials Science (3 semester credit hours) This course provides an intensive overview of materials science and engineering focusing on how structure/property/processing relationships are developed and used for different types of materials. The course illustrates roles of materials in modern technology by case studies of advances in new materials and process. Topics include atomic structure, crystalline solids, defects, failure mechanisms, phase diagrams and transformations, metal alloys, ceramics, polymers as well as their mechanical, thermal, electrical, magnetic and optical properties. Credit cannot be received for both MECH 3360 and (ECS 3310 or MSEN 3310). Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422) or instructor consent required. (Same as MSEN 3310) (3-0) Y

ECS 4392 Research, Inquiry, Design Experience (3 semester credit hours) The RIDE projects are faculty led, team explorations for research, inquiry, or design. The projects are intended to be multi-semester so that students can continue working on the projects. These are transdisciplinary and multi-generational projects. Each project will be assessed by the faculty coach. May be repeated for credit (6 semester credit hours maximum). Prerequisite: At least 3 semester credits of ECS 1192 or 2192 or 3292. ([0-3]-[0-9]) R

Engineering and Computer Science COOP

ECSC 3177 CS IPP Assignment (1 semester credit hour) Work in an approved, supervised, professional, computer science position. Students will complete an IPP Work Report including a written narrative focusing on the accomplishments and learning gained through the IPP experience. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. (1-0) Y

ECSC 3179 ENG IPP Assignment (1 semester credit hour) Work in an approved, supervised, professional, engineering position. Students will complete an IPP Work Report including a written narrative focusing on the accomplishments and learning gained through the IPP experience. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. (1-0) Y

ECSC 4078 Engineering and Computer Science Internship (0 semester credit hours) This course is designed to further develop a student's professional engineering/computer science skills through appropriate developmental work experiences in a real business environment as part of co-op/intern work experience. At the end of the semester, the students will complete a work report focusing on the accomplishments and learning gained through the experience. Credit/no credit only. May be repeated if internships differ. Department consent required. (0-0) S

ECSC 4300 Student Apprenticeship and Mentoring (3 semester credit hours) Development and practice of teaching and mentoring skills in engineering and computer science. May be repeated for credit (6 semester credit hours maximum). Instructor consent required. (3-0) S

ECSC 4378 Professional Industrial Practice Program (3 semester credit hours) Students will make use of professional engineering/computer science skills within an industrial setting as part of co-op/intern work experience. Detailed midterm and final professional quality engineering reports on the co-op project are required. May be repeated for credit as topics vary (6 semester credit hours maximum). Prerequisites or Corequisites: ECS 2390 and instructor consent required. (3-0) T

ECSC 4V78 Engineering and Computer Science Internship (1-6 semester credit hours) This course is designed to further develop a student's professional engineering/computer science skills through appropriate developmental work experiences in a real business environment as part of co-op/intern work experience. Detailed midterm and final professional quality engineering reports on the co-op project are required. Credit/No credit only. May be repeated for credit (6 semester credit hours maximum). Department consent required. ([1-6]-0) S

Electrical Engineering

EE 1100 Introduction to Electrical and Computer Engineering (1 semester credit hour) Introduction to discipline and practice of Electrical and Computer Engineering. Basic study, problem solving, and other skills needed to succeed as an EE or CE major including an introduction to laboratory instruments and measurement techniques. Introduction to professional ethics, EE and CE engineering design and quantitative methods; team projects designed to replicate the decision process in real-world applications of the EE and CE engineering process. BMEN 1100 or CE 1100 or CS 1200 or MECH 1100 can substitute for this course. Credit cannot be received for more than one of the following: BMEN 1100 or CE 1100 or CS 1200 or EE 1100 or MECH 1100. (Same as CE 1100) (1-1) Y

EE 1202 Introduction to Electrical and Computer Engineering II (2 semester credit hours) Course introduces the discipline of engineering. It includes a 1.5-hour lecture per week plus a 1.5-hour fundamentals laboratory that stresses learning about laboratory procedures and equipment. Topics include: Learning the use of common laboratory electronic equipment; understanding the assembly of electronic circuits; and making various measurements. Students also learn how to work together with a partner and how to write a laboratory report. The lecture introduces general engineering practices and engineering research at UT Dallas. The course also includes lectures and projects on communication. May be taken by students outside of engineering in order to learn about the engineering profession. Lab fee of $30 required. A subscription to McGraw Hill Connect is required for the course. Prerequisite: EE 1100 or equivalent. (Same as CE 1202) (1.5-3) S

EE 2301 (ENGR 2305) Electrical Network Analysis (3 semester credit hours) Electrical Network Analysis (3 semester credit hours) Analysis of resistive networks. Mesh and nodal analysis. Analysis of two-port elements including Op-Amps. Analysis of first and second order circuits in time domain (RL, RC, and RLC). Steady state sinusoidal analysis of passive networks using phasor technique. Prerequisites: MATH 2420 and PHYS 2326. (Same as CE 2301) (3-0) S

EE 2302 Programming Fundamentals for Electrical and Computer Engineers (3 semester credit hours) Explore basic problem solving, design, and implementation techniques for imperative programming; structured programming in the C/C++ language; and introduce the fundamental concepts of structured programming. Topics include software development methodologies, data types, control structures, functions, arrays, and the mechanics of running, testing, and debugging- elementary data structures as well as asymptotic analysis. Topics also include recursion, as well as fundamental data structures such as stacks, queues, and linked lists. Programming languages include C/C++ and Rust. (Same as CE 2302) (3-0) S

EE 2310 (ENGR 2306) Introduction to Digital Systems (3 semester credit hours) Includes a 3 hour lecture per week plus a 1.5 hour laboratory that stress understanding of the topics covered in lecture. Topics include: Boolean algebra and combinational logic, internal data representation and arithmetic operations in a computer, as well as functions of basic datapath elements and how they can be incorporated into a simple processor. Prerequisite: CE 1202 or EE 1202 (Same as CE 2310) (3-1) S

EE 3161 Social Issues and Ethics in Engineering (1 semester credit hour) This course exposes students to major theoretical frameworks and principles of ethics to recognize and analyze a range of social and professional issues faced by engineers. Issues of personal and professional ethics, computer security and reliability, privacy, intellectual property, the balance between risk and benefits are examined using real and hypothetical cases with emphasis on formulating arguments that support informed judgments. (Same as CE 3161) (1-0) S

EE 3201 Electrical and Computer Engineering Fundamentals-I Laboratory (2 semester credit hours) Introduction to the fundamental building blocks of laboratory measurements and data analysis in Electrical and Computer Engineering. Lab fee of $30 required. Prerequisites: (CE 1202 or EE 1202) and RHET 1302. Prerequisite or Corequisite: (EE 2301 or CE 2301) and (EE 3320 or CE 3320). (Same as CE 3201) (1-3) S

EE 3202 Electrical and Computer Engineering Fundamentals-II Laboratory (2 semester credit hours) Introduction to more advanced building blocks of laboratory measurements and data analysis in Electrical and Computer Engineering. Lab fee of $30 required. Prerequisite: CE 3201 or EE 3201. Corequisite: ECS 2390. (Same as CE 3202) (1-3) S

EE 3300 Advanced Engineering Mathematics (3 semester credit hours) Triple Integrals in rectangular, cylindrical, and spherical coordinates, advanced vector calculus, complex numbers, complex valued functions, Fourier analysis, and partial differential equations. Examples are provided from Electrical Engineering and other Engineering applications. Includes a required laboratory. Prerequisites: (MATH 2415 or MATH 2419 or equivalent) and ENGR 2300. Prerequisite or Corequisite: MATH 2420. (Same as CE 3300) (3-1) S

EE 3302 Signals and Systems (3 semester credit hours) Explores the fundamentals of continuous and discrete-time signal processing. Linear system analysis including convolution and impulse response, Fourier series, Fourier transform and applications, discrete-time signal analysis, sampling, and z-transform. Credit cannot be received for more than one of the following: BMEN 3302 or CE 3303 or EE 3302. Prerequisite: EE 3300. (3-0) S

EE 3310 Electronic Devices (3 semester credit hours) Theory and application of solid state electronic devices. Physical principles of carrier motion in semiconductors leading to operating principles and circuit models for diodes, bipolar transistors, and field effect transistors. Introduction to integrated circuits. Prerequisites: MATH 2420 and PHYS 2326 and (CE 2301 or EE 2301). (Same as CE 3310) (3-0) S

EE 3311 Electronic Circuits (3 semester credit hours) Large-signal and small-signal characteristics of diodes, BJT and MOSFET transistors. Analysis of circuits containing diodes. Analysis of the DC and small-signal characteristics of single-stage BJT and MOSFET amplifiers. Analysis of circuits with an operational amplifier as a black box. Introduction of high-frequency models of BJT and MOSFET transistors and methods to analyze amplifier frequency response. Prerequisite: CE 2301 or EE 2301. (Same as CE 3311) (3-0) S

EE 3320 Digital Circuits (3 semester credit hours) Design and analysis of combinational logic circuits using basic logic gates and other building blocks like multiplexers and ROMs. Design and analysis of latches and flip-flops. Design and analysis of synchronous state machines. State minimization and introduction to state assignment. Design of datapath components: adders, multipliers, registers, shifters, and counters. Electrical properties of logic gates. Credit cannot be received for both courses, CS 4341 and EE 3320. Prerequisite: CE 2310 or EE 2310. (Same as CE 3320) (3-0) S

EE 3350 Communications Systems (3 semester credit hours) Review of Fourier transform techniques, linear systems, and filtering. Fundamental principles of signal transmission and reception. Digitization (sampling and quantization) of analog signals. Understanding noise in communications systems. Prerequisites: ENGR 3341 and (EE 3302 or CE 3303). (3-0) S

EE 4168 RF/Microwave Laboratory (1 semester credit hour) This course provides hands-on learning of RF and microwave fundamentals in a laboratory setting. The weekly lab sessions are designed, both in subject material and timeframe, to compliment the theory taught in EE 4368. The goal of this laboratory is to enable students to become familiar with RF test equipment, measurement techniques and design procedures. The second half of this lab involves design of microwave transmission media (primarily microstrip), impedance matching circuits and characterization of microwave transistors, culminating in the complete design, fabrication and test of a single-stage microwave amplifier. Lab fee of $30 required. Prerequisite or Corequisite: EE 4368. (0-1) T

EE 4201 Electrical and Computer Engineering Laboratory in Computing Systems and Computer Engineering (2 semester credit hours) Laboratory topics in Computing Systems and Computer Engineering. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as CE 4201) (1-3) S

EE 4202 Electrical and Computer Engineering Laboratory in Circuits (2 semester credit hours) Laboratory topics in Circuits. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as CE 4202) (1-3) S

EE 4203 Electrical and Computer Engineering Laboratory in Signals and Systems (2 semester credit hours) Laboratory topics in Signals and Systems. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. Corequisite: EE 3302. (Same as CE 4203) (1-3) S

EE 4204 Electrical and Computer Engineering Laboratory in Devices (2 semester credit hours) Laboratory topics in Devices. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as CE 4204) (1-3) S

EE 4205 Electrical and Computer Engineering Laboratory in Power Electronics and Energy Systems (2 semester credit hours) Laboratory topics in Power Electronics and Energy Systems. Lab fee of $30 required. Prerequisite: CE 3202 or EE 3202. (Same as CE 4205) (1-3) S

EE 4301 Electromagnetic Engineering I (3 semester credit hours) Foundations of electromagnetic engineering. Physical interpretation of Maxwell's equations in integral and differential forms. Electrostatic and magnetostatic problems, fields and waves in material media, plane wave propagation, reflection, and transmission. Prerequisites: PHYS 2326 and EE 3300 and (CE 2301 or EE 2301). (3-0) S

EE 4303 Fundamentals of Power Systems (3 semester credit hours) A review of phasor concepts, power, and single-phase as well as three-phase circuits. Modeling and analysis of power transformers and the per-unit system. Transmission-line parameters, and steady-state operation of transmission lines. Power flows. Trends and challenges in modern power systems. Prerequisite: EE 2301. (3-0) S

EE 4304 Computer Architecture (3 semester credit hours) Introduction to computer organization and design, including the following topics: CPU performance analysis. Instruction set design, illustrated by the MIPS instruction set architecture. Systems-level view of computer arithmetic. Design of the datapath and control for a simple processor. Pipelining. Hierarchical memory. I/O systems. I/O performance analysis. Multiprocessing. Credit cannot be received for both courses, (CS 2340 or SE 2340) and (CE 4304 or EE 4304). Prerequisite: CE 3320 or EE 3320. (Same as CE 4304) (3-0) S

EE 4310 Systems and Controls (3 semester credit hours) Introduction to linear control theory. General structure of control systems. Mathematical models including differential equations, transfer functions, and state space. Control system characteristics. Transient response, external disturbance, and steady-state error. Control system analysis. Performance, stability, root-locus method, Bode diagram, and Nyquist plot. Control system design. Compensation design using phase-lead and phase-lag networks. Prerequisites: ENGR 2300, and EE 3302. (3-0) S

EE 4325 Introduction to VLSI Design (3 semester credit hours) Introduction to CMOS digital IC design using semi-custom and full-custom design techniques with an emphasis on techniques for rapid prototyping and use of various VLSI design tools. FPGA's, standard cell and full-custom design styles. Introduction to a wide variety of CAD tools. Prerequisite: CE 3320 or EE 3320 (or, for CS majors, CS 4341). (3-0) T

EE 4330 Integrated Circuit Technology (3 semester credit hours) Principles of design and fabrication of integrated circuits. Bipolar and MOS technologies. Passive and active component performance, fabrication techniques including epitaxial growth, photolithography, oxidation, diffusion, ion-implantation, thin and thick film components. Design and layout of integrated devices. Relations between layout and fabrication technique. Prerequisite: CE 3310 or EE 3310. (3-0) S

EE 4331 Applied Machine Learning (3 semester credit hours) Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. Prerequisites: (MATH 2414 or MATH 2417) and ENGR 2300 and ENGR 3341. (Same as CE 4331) (3-0) S

EE 4340 Analog Integrated Circuit Analysis and Design (3 semester credit hours) Analog integrated circuits and systems. Analysis and design of linear amplifiers, including operational, high-frequency, broad-band and feedback amplifiers. Use of monolithic silicon systems. Prerequisite: CE 3311 or EE 3311. (3-0) S

EE 4342 Introduction to Robotics (3 semester credit hours) Fundamentals of robotics, rigid motions, homogeneous transformations, forward and inverse kinematics, velocity kinematics, motion planning, trajectory generation, sensing, vision, and control. Lab fee of $30 required. Prerequisite or Corequisite: BMEN 4310 or EE 4310 or MECH 4310 or equivalent. (Same as MECH 4342) (2-3) Y

EE 4360 Digital Communications (3 semester credit hours) Information, digital transmission, channel capacity, delta modulation, and differential pulse code modulation are discussed. Principles of coding and digital modulation techniques such as Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), Phase Shift Keying (PSK), and Continuous Phase Frequency Shift Keying (CPFSK) are introduced. M-ary signaling such as Quadrature amplitude and phase shift keying, and M-ary PSK and FSK are also discussed. Prerequisites: ENGR 3341 and (EE 3302 or CE 3303). (3-0) T

EE 4361 Introduction to Digital Signal Processing (3 semester credit hours) An introduction to the analysis and design of discrete linear systems, and to the processing of digital signals. Topics include time and frequency domain approaches to discrete signals and systems, the Discrete Fourier Transform and its computation, and the design of digital filters. Prerequisite: EE 3302. (3-0) T

EE 4362 Introduction to Energy Conversion (3 semester credit hours) Single phase and three phase electrical system; Real, Reactive, Apparent, and Complex powers, Power factor; Generation of three phase voltages, Star and Delta connections, Power calculations and measurements; Transformers: Theory of operation, voltage and current ratios, transformer ratings, three phase transformers; Electric Machines: DC, Induction, and Synchronous Machines - Characteristics, analysis and operation; Introduction to Renewable Energy Systems: Solar and Wind Energy Systems. Prerequisite: EE 2301. (3-0) R

EE 4363 Introduction to Power Electronics (3 semester credit hours) Power Electronic devices operation and characteristics - Thyristor, Power MOSFET, IGBT, and other devices. Rectifiers and controlled rectifiers operation and control. DC-DC converters - buck and boost converters. Inverters and PWM operation. Switching mode power supplies. Prerequisite: EE 2301. (3-0) Y

EE 4365 Introduction to Wireless Communication (3 semester credit hours) Introduction to the basic system concepts of cellular telephony. Mobile standards, mobile system architecture, design, performance and operation. Voice digitization and modulation techniques; PCS technologies. Prerequisites: EE 3302 and ENGR 3341. (3-0) Y

EE 4367 Telecommunication Networks (3 semester credit hours) Trunking and queuing, switching technologies: voice, data, video, circuit switching and packet switching, transmission technologies and protocols, transmission media - copper, fiber, microwave, satellite, protocols - bipolar formats, digital hierarchy, optical hierarchy, synchronization, advanced switching protocols and architectures; frame relay, ATM, HDTV, SONET. Prerequisite or Corequisite: EE 3302 or CE 3303. (3-0) Y

EE 4368 RF Circuit Design Principles (3 semester credit hours) Principles of high-frequency design, transmission lines, the Smith chart, impedance matching using both lumped and distributed components, and simple amplifier design. Prerequisite: EE 4301. (3-0) S

EE 4370 Embedded Systems (3 semester credit hours) An introduction to micro-controllers and their uses. Features commonly found in a micro-controller are discussed, such as: The CPU structure which includes the Program Counter, Stack, Status Register, General Purpose Registers, ALU, Instruction Set. Peripheral devices including general purpose IOs (GPIOs), serial synchronous (e.g. SPI and I2C) and asynchronous communication (UART) interfaces. Different types of Analog to Digital converters (ADC) and Memories (SRAM, DRAM, EPROM, EEPROM). ANSI-C programing language is used to create the binary machine code necessary to program a micro-controller system. Lab fee of $30 required. Prerequisite: CE 3320 or EE 3320. (Same as CE 4370) (3-3) Y

EE 4371 Introduction to MEMS (3 semester credit hours) The goal of this course is to provide an introduction to M/NEMS fabrication techniques, selected device applications, and the design tradeoffs in developing systems. Prerequisites: (MECH 3310 and MECH 3350 and PHYS 2126 and PHYS 2326) or (CE 3310 or EE 3310). (Same as MECH 4370) (3-0) Y

EE 4388 Senior Design Project I (3 semester credit hours) First of two sequential semesters devoted to a team project that engages students in the full engineering design process. The goal of senior design projects is to prepare the student to run/participate in engineering projects related to an appropriate industry. Thus, all project teams are to follow standard industrial practices and methods. Teams must carry the engineering project to completion, examining real world and multiple design constraints, following applicable industrial and business standards. Such constraints may include but are not limited to: economic, environmental, and industrial standards, team time/resource management, and cross-disciplinary/departmental result integration. Students are required to work in teams that include collaborative design interaction. Additionally, cross-disciplinary teams are encouraged but not required. In Senior Design I, project proposals will be written, reviewed, and approved. Initial designs will be completed and corresponding constraints will be determined. All students will participate in a public oral and poster presentation following departmental approved guidelines at a departmental approved time and location. Teams will also submit a written end of semester progress report and documented team communication (complete sets of weekly reports and/or log books) following guidelines approved by the faculty. Prerequisites: ECS 2390 and EE 3161 and EE 3202 and EE 3302 and EE 3311 and EE 3320. (Same as CE 4388) (3-0) S

EE 4389 Senior Design Project II (3 semester credit hours) Continuation of the Senior Design project begun in the previous semester. In Senior Design II, projects based on approved project proposals will be completed. All limitations of the design will be determined and addressed. All students will participate in a public oral presentation following faculty-approved guidelines at a faculty-approved time and location. Teams will also submit a written final report and documented team communication (complete sets of weekly reports and/or log books) following faculty-approved guidelines. Prerequisite: CE 4388 or EE 4388. (Same as CE 4389) (3-0) S

EE 4391 Technology of Plasma (3 semester credit hours) Plasmas are critical to making the best electronic devices. This class will be an introduction to the technology required to make and use these plasmas. Topics include: high-vacuum technology (gas properties, pumps, pressure gauges, flow-meters, gas composition analysis) and plasma technology (etch, deposition, and lamps). Recommended: ENGR 3341. Prerequisites: ENGR 3300 and (CE 3310 or EE 3310). (Same as MSEN 4391) (3-0) T

EE 4399 Senior Honors in Electrical Engineering (3 semester credit hours) For students conducting independent research for honors theses or projects. May be repeated for credit as topics vary. Additional prerequisites may be required depending on the specific course topic. Instructor consent required. (3-0) R

EE 4V95 Undergraduate Topics in Electrical Engineering (1-9 semester credit hours) May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. ([1-9]-0) R

EE 4V97 Independent Study in Electrical Engineering (1-9 semester credit hours) Independent study under a faculty member's direction. May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. Instructor consent required. ([1-9]-0) R

EE 4V98 Undergraduate Research in Electrical Engineering (1-9 semester credit hours) This course may be used as an honors course. May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. Instructor consent required. ([1-9]-0) R

Engineering

ENGR 2300 Linear Algebra for Engineers (3 semester credit hours) Matrices, vectors, linear systems of equations, Gauss-Jordan elimination, LU factorization and rank. Vector spaces, linear dependence/independence, basis, and change of basis. Linear transformations and matrix representation; similarity, scalar products, orthogonality, Gram-Schmidt procedures, and QR factorization. Determinants: eigenvalues, eigenvectors, and diagonalization. Introduction to problem solving using MATLAB. This course includes a required laboratory. Prerequisite or Corequisite: MATH 2413 or MATH 2417. (2-1) S

ENGR 3300 Advanced Engineering Mathematics (3 semester credit hours) Survey of advanced mathematics topics needed in the study of engineering. Topics include use of complex numbers, properties of complex-valued functions, scalar and vector fields, introduction to partial differential equations, and Fourier series. Examples are provided from electromagnetics, fluid mechanics, thermodynamics, and engineered systems. This course includes a required laboratory. Prerequisites: (MATH 2415 or MATH 2419 or equivalent) and ENGR 2300. Prerequisite or Corequisite: MATH 2420. (3-1) S

ENGR 3341 Probability Theory and Statistics (3 semester credit hours) Axioms of probability, conditional probability, Bayes theorem, random variables, probability density/mass function (pdf/pmf), cumulative distribution function, expected value, functions of random variables, joint, conditional and marginal pdfs/pmfs for multiple random variables, moments, central limit theorem, elementary statistics, empirical distribution correlation. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. Recommended Corequisite: MATH 2420. Prerequisite: MATH 2414 or MATH 2419. (3-0) S

Engineering Projects in Community Service

EPCS 2100 Engineering Project in Community Service (1 semester credit hour) This is a design course in which multidisciplinary teams will solve engineering-based problems for the local community. Students will learn the complete design process, awareness of the customer in engineering design, active use of rapid prototyping tools, leadership and project management skills, communication skills, and more. This course will include lectures and instruction in UTDesign Studio. (1-1) S

EPCS 2200 Engineering Projects in Community Service (2 semester credit hours) This is a design course in which multidisciplinary teams solve engineering/computing-based problems for the local community. Students will learn the complete design process, awareness of the customer in engineering design, active use of rapid prototyping tools, leadership, communication skills, and more. (1-2) S

EPCS 3100 Engineering Project in Community Service II (1 semester credit hour) Design course in which multidisciplinary teams solve engineering-based problems benefiting service organizations and the local community. Students will refine the skills and knowledge gained in ECSC 2100, by continue working on projects from previous semesters, and lecture topics will focus on leadership and project management skills, communication skills, and more. This course will include lectures and instruction in UTDesign Studio. May be repeated for credit (3 semester credit hours maximum). Lab fee of $30 required. Prerequisite: EPCS 2100. (1-1) S

EPCS 3105 Engineering Projects in Community Service Abroad (1 semester credit hour) This is a study-abroad course in which students from multiple disciplines will learn human-centered design, understand customers' needs, understand how engineering design thinking can be used in combination with their disciplines to impact customers, and learn about the culture of the people/place they will travel to. The student's skills from their discipline and understanding of the people will be applied in a 2-week study abroad trip. (1-0) R

EPCS 3200 Engineering Projects in Community Service II (2 semester credit hours) Design course in which multidisciplinary teams solve engineering-based problems benefiting service organizations and the local community. Students will refine the skills and knowledge gained in ECSC 2200, by continuing to work on projects from previous semesters, and lecture topics will focus on leadership and project management skills, communication skills, and more. This course will include lectures and instruction in the UTDesign Studio. May be repeated for credit (6 semester credit hours maximum). Prerequisite: EPCS 2100 or EPCS 2200. (1-2) S

Interdisciplinary Studies-EE and CS

ISEC 4102 Computer Art Laboratory (1 semester credit hour) This course involves the creation and use of algorithms for art on microcomputers. Lab fee of $30 required. Corequisite: ISEC 4201. (0-2) R

ISEC 4201 The Computer and the Artist (2 semester credit hours) This course explores the problems, tools, and opportunities presented to the artist by the birth of this new medium. From the analytic aspects of computer graphics to the aesthetics of interactive design, the wide range of extant techniques foreshadows the richness of future computer art. Corequisite: ISEC 4102. (2-0) R

ISEC 4395 Computing in Society (3 semester credit hours) Computing in society and business. The Internet. Information Technology: principles, practices, risks, and opportunities. Tour of a computer system. Software systems. The social context of computing. Careers in computing. Popular culture in the Digital Age. The risks of technology: ACM code of ethics, computer crime, system disasters. Human rights and privacy issues. Computers and education. (3-0) R

ISEC 4V87 Special Interdisciplinary Topics in Engineering or Computer Science (1-6 semester credit hours) May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-6]-0) R

Mechanical Engineering

MECH 1100 Introduction to Mechanical Engineering I (1 semester credit hour) Introduction to professional ethics, engineering design and quantitative methods; team projects designed to replicate decision processes in real-world situations; additional preparatory topics for Mechanical Engineering. BMEN 1100 or CE 1100 or CS 1200 or EE 1100 can substitute for this course. Credit cannot be received for more than one of the following: BMEN 1100, CE 1100, CS 1200, EE 1100 or MECH 1100. Lab fee of $30 required. (1-[1-2]) F

MECH 1208 Introduction to Mechanical Engineering (2 semester credit hours) The purpose of this course is to give students a general understanding of the broad range of technical areas and applications specific to the mechanical engineering profession. Course activities include team-oriented projects, and lectures by mechanical engineering experts. Lab fee of $30 required. Prerequisite: ECS 1100. Prerequisites or Corequisites: (PHYS 2325 and PHYS 2125) and (MATH 2419 or MATH 2414). (1-[1-2]) S

MECH 1V95 Topics in Mechanical Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary. Additional prerequisites may be required depending on the specific course topic. (9 semester credit hours maximum). Instructor consent required. ([0-9]-[0-9]) R

MECH 2120 Mechanics of Materials Laboratory (1 semester credit hour) The laboratory introduces techniques for measurements of mechanical properties and data analysis processes. Operation of materials test system to conduct experiments, including tension, compression, and bending, to measure mechanical properties that include Young's modulus, yield strength, stress-strain curve, hardness, and impact energy absorption. Lab fee of $30 required. Corequisite: MECH 2320. (0-3) S

MECH 2310 (ENGR 2301) Statics (3 semester credit hours) Course material includes vector representations of forces and moments, free body diagrams, equilibrium of particles, center of mass, centroids, distributed load systems, equivalent force systems, equilibrium of rigid bodies, trusses, frames and machines, internal forces in structural members, shear forces and bending moments in beams, friction, area and mass moments of inertia, the principle of virtual work. Prerequisites: MECH 1208 and (PHYS 2325 and PHYS 2125). Prerequisite or Corequisite: ENGR 2300 and MATH 2415 or MATH 2419 or equivalent. (3-0) S

MECH 2320 (ENGR 2332) Mechanics of Materials (3 semester credit hours) Introduction to stress and deformation analysis of basic structural elements subjected to axial, torsional, bending, and pressure loads. Prerequisites: (MATH 2415 or MATH 2419 or equivalent) and MECH 2310. Corequisite: MECH 2120. (3-0) S

MECH 2330 (ENGR 2302) Dynamics (3 semester credit hours) Kinematics and kinetics of particles, planar rigid bodies, three-dimensional rigid bodies, and equations of motion. Methods utilizing force and acceleration, work and energy, and impulse and momentum are presented. Single degree of freedom vibration systems and simulation tools are introduced. Prerequisite: MECH 2310. Prerequisites or Corequisites: ENGR 2300 and MATH 2420. (3-0) S

MECH 2340 Circuits and Applied Electronics (3 semester credit hours) The purpose of this course is to give students a general understanding of basic concepts in electronics geared specifically toward application. Course topics include: circuit components and theory (resistors, capacitors, inductors, component networks), power concepts (AC, DC, single and 3-phase), basic microelectronics (semiconductors, diodes, transistors, op-amps, amplifiers), and digital design (number systems, logic circuits, common ICs). This course includes a laboratory component and a team-based final project. Prerequisites: MATH 2420 and PHYS 2326 and MECH 1208. (2-3) R

MECH 2V95 Topics in Mechanical Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. Instructor consent required. ([0-9]-[0-9]) R

MECH 3105 Computer Aided Design Laboratory (1 semester credit hour) Laboratory course associated with MECH 3305. Design activities involving CAD tools constitute a major portion of the course. Lab fee of $30 required. Corequisite: MECH 3305. (0-3) S

MECH 3115 Fluid Mechanics Laboratory (1 semester credit hour) Laboratory course associated with MECH 3315. Conduct experiments on various fluid mechanics principles including hydrostatics, pipe flows, aerodynamics, and turbulence. Students need to be able to interpret data using fluid mechanics theories and uncertainty analysis. Lab fee of $30 required. Prerequisite: MECH 3315; it is recommended that the laboratory is taken the next long semester after completion of MECH 3315. (0-3) S

MECH 3120 Heat Transfer Laboratory (1 semester credit hour) Laboratory course associated with MECH 3320. Course emphasis is on experiments related to thermodynamics, heat transfer, and fluid mechanics. Proper experimental methods, data and uncertainty analysis related to thermal and fluids measurements are discussed. Lab fee of $30 required. Prerequisite: MECH 3320; it is recommended that the laboratory is taken the next long semester after completion of MECH 3320. (0-3) S

MECH 3150 Kinematics and Dynamics Laboratory (1 semester credit hour) Laboratory course associated with MECH 3350. Course focuses on performing a team design project of a mechanical system. Lab fee of $30 required. Prerequisite: MECH 3350; it is recommended that the laboratory is taken the next long semester after completion of MECH 3350. (0-3) S

MECH 3300 Applied Engineering Mathematics (3 semester credit hours) Survey of advanced mathematical tools used to solve problems in mechanical engineering. Topics include vector calculus, functions of complex variables, numerical methods, Fourier series, and partial differential equations. This course includes a required laboratory. Prerequisites: (MATH 2415 or MATH 2419 or equivalent), and ENGR 2300. Prerequisite or Corequisite: MATH 2420. (3-1) Y

MECH 3305 Computer Aided Design (3 semester credit hours) Covers Computer-Aided Design (CAD) tools and their applications to the geometric design and analysis of mechanical components and assemblies. CAD software will be used to generate sketches, curves, surfaces, solids, assemblies, and engineering drawings suitable for different manufacturing processes. Innovative team-oriented projects are integrated into the course. Prerequisite: MECH 1208. Prerequisite or Corequisite: ECS 1220. Corequisite: MECH 3105. (3-0) S

MECH 3310 Thermodynamics (3 semester credit hours) Focuses on fundamental concepts and definitions of thermodynamics: energy and the first law of thermodynamics; evaluating properties and the ideal gas model; control volume analysis using energy; entropy and the second law of thermodynamics; refrigeration and power systems. Prerequisites: MECH 1208 and MECH 3300 and PHYS 2325. Prerequisite or Corequisite: CHEM 1311. (3-0) S

MECH 3315 Fluid Mechanics (3 semester credit hours) We will study the physics governing the motion of fluids at a fundamental level. We will familiarize ourselves with basic concepts in fluid mechanics, such as continuum, velocity field, and vorticity. We will apply the principle of mass conservation and Newton's law to describe the motion of fluids and solve basic engineering problems. After studying simple cases of fluid motion for in-viscid fluids, we will consider viscosity for internal flows (e.g., pipe flows), external flows (airfoils and bluff bodies), and flows with a free surface. Dimensional analysis will also be presented. Prerequisites: MECH 2330 and MECH 3300. Prerequisite or Corequisite: MECH 3310. (3-0) S

MECH 3320 Heat Transfer (3 semester credit hours) Focuses on steady state and time-dependent conduction in one- and two-dimensions; forced convection, internal and external flows; heat exchangers; introduction to radiation; elements of thermal system design. Prerequisites: MECH 3310 and MECH 3315. (3-0) S

MECH 3340 System Dynamics Modeling and Analysis (3 semester credit hours) Dynamic analysis and simulation of common engineering systems with thermal, fluid, mechanical, and electromechanical applications. Laplace transform techniques, time domain, and frequency response methods are used along with simulation techniques to analyze and predict system response to various input stimuli. Matlab and Simulink are used extensively throughout the course. Prerequisite: MECH 3315. (3-0) Y

MECH 3350 Kinematics and Dynamics of Mechanical Systems (3 semester credit hours) Motion and interaction of machine elements and mechanisms. Kinematics, statics, and dynamics are applied for analysis and design of the parts of machines such as planar mechanisms, cams and gears. Prerequisites: ENGR 2300 and MATH 2420 and MECH 2330 and MECH 3300. (3-0) S

MECH 3351 Design of Mechanical Systems (3 semester credit hours) Design and analysis tools for mechanical systems. Design criteria based on reliability and functionality are introduced. Basic principles of stress and deflection analysis, application to mechanical components and systems. Failure design theory based on static and dynamic loads, stochastic considerations, and design of mechanical components such as shafts, bearing and shaft-bearing systems, gear and gear systems, and mechanical joints. Prerequisites: MECH 2320 and MECH 3300. Prerequisite or Corequisite: MECH 3350. (3-0) S

MECH 3360 Materials Science and Engineering (3 semester credit hours) Provides an intensive overview of materials science and engineering, focusing on how structure/property/processing relationships are developed and used for different types of materials. The course illustrates the roles of materials in modern technology by case studies of advances in new materials and processes. Topics include atomic structure, crystalline solids, defects, failure mechanisms, phase diagrams and transformations, metal alloys, ceramics, polymers, as well as their mechanical, thermal, electrical, magnetic, and optical properties. Credit cannot be received for both MECH 3360 and (ECS 3310 or MSEN 3310). Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and PHYS 2326 or instructor consent required. (3-0) Y

MECH 3370 Applied Thermodynamics (3 semester credit hours) Extends the coverage of thermodynamics beyond that found in MECH 3310 Thermodynamics (or equivalent). Applications are emphasized by examining the use of thermodynamic concepts to analyze various devices, systems, and processes. The course includes a more advanced treatment of fundamental thermodynamic concepts as well as an introduction to several advanced topics of relevance to mechanical engineering, such as energy, reacting and non-reacting mixtures, psychometrics, and combustion. Prerequisites: MECH 3310 and MECH 3315. (3-0) Y

MECH 3380 Computational Design and Analysis (3 semester credit hours) Covers analytical and computer-based methods to design and analyze engineering structures. Builds on prerequisite knowledge in mechanical engineering design, mechanics of materials, physics, engineering mathematics, and computer programming. Introduces 1-D boundary value problems, numerical solution methods (finite element analysis), and various computational tools to assess failure criteria. Other topics include identifying nonlinear structural problems, function approximation tools to reduce simulation time, and design optimization techniques. Programming and computer-based solid modeling/analysis tools are integrated to facilitate the design and evaluation of complex, real-world problems. Prerequisites: ECS 1220 and MATH 2420 and MECH 2320 and MECH 3305 or equivalents. (3-0) Y

MECH 3381 Fundamental Manufacturing Processes (3 semester credit hours) Designed to provide students with an overview of some fundamental manufacturing processes, including machining, casting and forming, and welding. It also has important coverage of non-traditional manufacturing processes, such as plasma arc cutting and additive manufacturing. The basic principles behind these processes will be discussed with the purpose of providing essential working principles of various fundamental manufacturing processes. Prerequisite: MECH 1208. Prerequisite or Corequisite: MECH 3305. (3-0) Y

MECH 3382 Additive Manufacturing (3 semester credit hours) This course is designed to provide students with an overview of a recognized revolutionary manufacturing process: Additive Manufacturing (AM). Various fundamental theories, characteristics, and applications of AM process are covered in this course. It also introduces important up-to-date AM research achievements, such as functionally graded material, re-manufacturing, bio-3d printing, etc. The basic skills of using Ansys workbench to analyze the engineering problems in Additive Manufacturing are also covered. Prerequisite: MECH 1208. (3-0) Y

MECH 3V95 Topics in Mechanical Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary. Additional prerequisites may be required depending on the specific course topic. (9 semester credit hours maximum). ([1-9]-[0-9]) R

MECH 4110 Systems and Controls Laboratory (1 semester credit hour) Laboratory course associated with MECH 4310. Course focused on the modeling and parameter estimation of dynamical systems, and the design of control systems. Lab fee of $30 required. Prerequisite: MECH 3340. Corequisite: MECH 4310. (0-3) S

MECH 4301 Intermediate Mechanics of Materials (3 semester credit hours) Course material includes topics such as principal stresses; constitutive relations, thermal strains; stress concentration, brittle and ductile failure; fracture and fatigue; two-dimensional linear elasticity; material plasticity; energy concepts, unit load method, Castigliano's theorems; St. Venant theory, shear center; curved beams; introduction to plates. Prerequisites: MECH 2320 and MECH 3300. (3-0) Y

MECH 4310 Systems and Controls (3 semester credit hours) Fundamentals of linear control theory. General structure of control systems. Mathematical models, including differential equations, transfer functions, and state space. Transient response and steady-state error. Performance, stability, root-locus method, Bode diagram, and Nyquist plot. Compensation design using PID, phase-lead, and phase-lag controllers. Prerequisite: MECH 3340. Corequisite: MECH 4110. (3-0) S

MECH 4320 Applications of Computational Tools in Thermal Fluid Science (3 semester credit hours) Discussions of the methods used to simulate fluid flow and heat transfer, with an emphasis on the selection and use of commercial analysis packages. This course covers basic numerical analysis and the application of these techniques to the solution of the relevant transport equations in thermal-fluid science. Discussion of how engineering problems can be formulated and solved using various commercial software packages. Prerequisite: MECH 3320. (3-0) Y

MECH 4330 Intermediate Fluid Mechanics (3 semester credit hours) Key concepts such as stability, buoyancy, conservation of momentum and angular momentum, and potential flow will be reviewed. Working mechanism of fluid machinery (such as pumps, gas turbine engines, fans) as well as open channel flows (river) will be discussed in detail. An introduction to the effects of compressibility will be given, and the equations of normal shocks and streamlined isentropic tubes will be derived. Prerequisite: MECH 3315. (3-0) Y

MECH 4340 Mechanical Vibrations (3 semester credit hours) Covers harmonic and periodic motion, including both damped and undamped free and forced vibration, single- and multi-degree-of-freedom systems, and matrix techniques suitable for computer simulations. Prerequisites: ENGR 2300 and MATH 2420 and ENGR 3341 and MECH 2330. (3-0) Y

MECH 4342 Fundamentals of Robotics (3 semester credit hours) Fundamentals of robotics, rigid motions, homogeneous transformations, forward and inverse kinematics, velocity kinematics, motion planning, trajectory generation, sensing, vision, and control. Lab fee of $30 required. Prerequisite or Corequisite: BMEN 4310 or EE 4310 or MECH 4310 or equivalent. (Same as EE 4342) (2-3) Y

MECH 4345 Soft Robotics (3 semester credit hours) Soft robotics deals with a relatively new class of robots that are inherently compliant in their construction and operation. This course provides an introduction to design principles, manufacturing methods of soft robots, materials for soft robots such as sensing, actuation, and passive materials. The state-of the art soft robots will be introduced along with application areas in medical fields and bio-inspired designs. Modeling, simulation, and analysis tools will be discussed. The course will include the use of CAD software to design bio-inspired designs of soft robots and/or soft robots for medical applications. (3-0) Y

MECH 4360 Fundamentals of Nanostructured Materials (3 semester credit hours) Fundamentals of the science of the building blocks of nanostructured materials, their chemical and structural characterization, material behavior, and the technological implications of these materials. Special attention is devoted to presenting new developments in this field and future perspectives. Prerequisites: MECH 2320 and MECH 3310. (3-0) Y

MECH 4365 Energy Analytics (3 semester credit hours) Builds on prior knowledge in engineering mathematics, probability, and statistics to cover data analytics applications in energy systems, with emphasis on renewable energy sources such as wind and solar. Topics include statistical modeling, exploratory data analysis, and predictive techniques for power system operation and decision-making. Applications include energy resource assessment, load and generation forecasting, demand response, outage analytics, and transmission and distribution system operations. Students use R and/or Python in projects. Prerequisites: MECH 3300 and ENGR 3341. (3-0) Y

MECH 4370 Principles of MEMS (3 semester credit hours) M/NEMS fabrication techniques, selected device applications, and the design tradeoffs in developing systems. Prerequisites: (MECH 3310 and MECH 3350 and PHYS 2126 and PHYS 2326) or (CE 3310 or EE 3310). (Same as EE 4371) (3-0) Y

MECH 4375 Design for Manufacturing and Assembly (3 semester credit hours) Concepts of product and process design for automated manufacturing are considered. Topics include product design for automated manufacturing, inspection and assembly, using automation, industrial robots, knowledge-based systems, and concepts of flexible product manufacture. (3-0) U

MECH 4380 HVAC Systems (3 semester credit hours) Covers the analysis and design of heating, ventilation, air conditioning, and refrigeration systems. The emphasis is on the application of fundamental heat transfer and fluid mechanics principles to the analysis of HVAC systems. Topics include: introduction to human comfort and health requirements, heating and cooling load calculations, and air distribution systems. Prerequisite: MECH 3320. (3-0) Y

MECH 4381 Senior Design Project I (3 semester credit hours) Project-based capstone. Groups design, build, and test a device that solves an open-ended mechanical engineering design problem. MECH 4381 focuses on background research, design, and engineering analysis, and MECH 4382 on prototype construction and testing. As designated MECH Writing-Intensive Courses, MECH 4381 and MECH 4382 also focus on refining engineering communications skills and using writing as a critical-thinking and learning tool. MECH 4381 and 4382 must be taken in successive semesters (fall/spring, spring/summer, summer/fall) to complete a two-semester project. Prerequisites: MECH 3305 and MECH 3320 and MECH 3351 and MECH 3340 and ECS 2390. (3-0) S

MECH 4382 Senior Design Project II (3 semester credit hours) Project-based capstone course. Groups design, build, and test a device that solves an open-ended mechanical engineering design problem. MECH 4381 focuses on background research, design, and engineering analysis, and MECH 4382 on prototype construction and testing. As designated MECH Writing-Intensive Courses, MECH 4381 and MECH 4382 also focus on refining engineering communications skills and using writing as a critical-thinking and learning tool. MECH 4381 and 4382 must be taken in successive semesters (fall/spring, spring/summer, summer/fall) to complete a two-semester project. Prerequisite: MECH 4381. (3-0) S

MECH 4387 Engineering Economy (3 semester credit hours) Covers the economic evaluation and analysis of engineering projects and proposals. Economic tools are essential for planning and designing engineering systems in today's ever-changing high-tech world. This course will also prepare engineering students for the "Engineering Economy" portion of the Fundamentals of Engineering Exam required for the professional engineer's licensure. Prerequisites: Any 3-semester-credit-hour Engineering or Computer Science course numbered 33XX. (3-0) F

MECH 4399 Senior Honors in Mechanical Engineering (3 semester credit hours) For students conducting independent research for honors theses or projects. Instructor consent required. (3-0) R

MECH 4V95 Topics in Mechanical Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary. Additional prerequisites may be required depending on the specific course topic. (9 semester credit hours maximum). ([1-9]-[0-9]) R

MECH 4V96 Individual Instruction in Mechanical Engineering (1-6 semester credit hours) Selected advanced topics in mechanical engineering. For letter grade credit only. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-6]-0) R

MECH 4V98 Undergraduate Research in Mechanical Engineering (1-9 semester credit hours) Topics will vary from semester to semester. May be repeated for credit (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

Materials Sciences and Engineering

MSEN 1100 Materials in the Modern World (1 semester credit hour) Introduction to materials science. Concepts in materials science developed by case studies of materials as used in various areas: microelectronics, aviation, construction and civil infrastructure, sports, energy, and medicine. (1-0) F

MSEN 1300 Introduction to Materials Science and Engineering (3 semester credit hours) Overview of materials science and engineering, focusing on structure/property/processing relationships in different types of materials. Topics include atomic structure, crystalline solids, defects, phase diagrams and transformations, metal alloys, ceramics, polymers, composites, and other materials. (3-0) S

MSEN 2111 Mechanical Properties of Materials Lab (1 semester credit hour) Laboratory course to accompany MSEN 2310. Basic concepts for mechanical properties of materials, elasticity, plasticity, viscoelasticity, rubber elasticity, strengthening mechanisms, creep, fracture, and fatigue. Includes metals, ceramics, polymers, and composites. Prerequisite or Corequisite: MSEN 2310. (0-3) F

MSEN 2310 Mechanical Properties of Materials (3 semester credit hours) Basic concepts for mechanical properties of materials, elasticity, plasticity, viscoelasticity, rubber elasticity, strengthening mechanisms, creep, fracture, and fatigue. Includes metals, ceramics, polymers, and composites. Prerequisite: MSEN 1300 or equivalent. (3-0) F

MSEN 3251 Materials Characterization and Thermodynamics Lab (2 semester credit hours) Laboratory studies in Materials Science and Engineering, with a focus on characterization methods and thermodynamic properties. Also covers materials synthesis, sample preparation, structure/processing/property relationships, basic laboratory skills and technical report writing. Prerequisites: MSEN 2310 and CHEM 1312 and (PHYS 2326 or PHYS 2422). (0-3) P

MSEN 3252 Metals and Ceramics Lab (2 semester credit hours) Laboratory studies in Materials Science and Engineering, with a focus on metallic and ceramic materials. Also covers materials synthesis, characterization, property evaluation, structure/processing/property relationships, experimental design, and technical report writing. Prerequisites: MSEN 3251 and MSEN 3312. (0-3) F

MSEN 3253 Electronic, Optical and Magnetic Properties of Materials Lab (2 semester credit hours) Laboratory studies in Materials Science and Engineering, with a focus on electronic, optical, magnetic and related properties of materials. Advanced experimentation in materials synthesis, characterization, property evaluation, and structure/processing/property relationships. Prerequisite: MSEN 3251 and MSEN 3312. (0-3) P

MSEN 3301 Introduction to Nanoscience and Nanotechnology (3 semester credit hours) Introduction to the underlying principles and applications of the emerging field of nanotechnology and nanoscience. Intended for a multidisciplinary audience with a variety of backgrounds. Introduces tools and principles relevant at the nanoscale dimension. Discusses current and future nanotechnology applications in engineering, materials, physics, chemistry, biology, electronics, and energy. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422) or instructor consent required. (Same as ECS 3301) (3-0) Y

MSEN 3302 Microscopy, Spectroscopy, and Nanotech Instrumentation (3 semester credit hours) The instructor will guide students in learning and practicing the techniques for using laboratory instruments common to the field of nanotechnology. Techniques include ion scattering, electron spectroscopy, diffraction, Raman and UV-vis-NIR spectroscopy, SEM, SFM, and thin film growth/deposition and processing. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422). (3-0) Y

MSEN 3303 Introduction to Semiconductor Technology and Manufacturing (3 semester credit hours) Exposure to current trends in semiconductor manufacturing and associated materials under investigation. Provide an overview of the manufacturing of a complete system (i.e., a smartphone) and the associated materials and system integration required (e.g., display technology, battery, power, N/MEMS). Prerequisites: (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422) and CHEM 1311. (3-0) S

MSEN 3304 Introduction to Sustainable Energy Engineering (3 semester credit hours) The global community is actively developing renewable energy sources to replace fossil fuels and to minimize their negative impact on climate change. This course examines energy and climate issues, including the science of climate change, and describes the role of materials science in the implementation of sustainable energy solutions. Materials science is providing key enabling technologies for the development of diverse renewable energy sources (solar cells, biofuels, wind, geothermal, etc.) and their practical utilization (energy storage, fuel cells, electrical vehicles, etc.). The science underlying these technologies and the role of materials science in their continued advancement will be discussed. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422). (3-0) R

MSEN 3310 Introduction to Materials Science (3 semester credit hours) This course provides an intensive overview of materials science and engineering focusing on how structure/property/processing relationships are developed and used for different types of materials. The course illustrates roles of materials in modern technology by case studies of advances in new materials and process. Topics include atomic structure, crystalline solids, defects, failure mechanisms, phase diagrams and transformations, metal alloys, ceramics, polymers as well as their mechanical, thermal, electrical, magnetic and optical properties. Credit cannot be received for both MECH 3360 and (ECS 3310 or MSEN 3310). Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422) or instructor consent required. (Same as ECS 3310) (3-0) Y

MSEN 3311 Thermodynamics of Materials (3 semester credit hours) Classical thermodynamics and thermodynamic relationships. Use of statistical methods to describe entropy and other thermodynamic properties. Description of vapor-, liquid-, and solid-phase equilibria in unary and multicomponent material systems. Treatment of ideal and nonideal solution behavior in inorganic alloys and organic polymers. Thermodynamic description of reaction kinetics and reaction equilibria. Prerequisites: MSEN 1300 or equivalent and CHEM 1312 and (PHYS 2325 or PHYS 2421), (MATH 2415 or MATH 2419). (3-0) P

MSEN 3312 Materials Characterization (3 semester credit hours) Survey of structural and compositional analysis techniques as applied in materials science and engineering. Atomic-scale characterization by diffraction and scattering; methods for surface analysis; microstructural characterization and microscopy; methods for bulk property determination. Prerequisites: CHEM 1312 and (PHYS 2325 or PHYS 2421) and (MATH 2415 or MATH 2419 ) and MSEN 1300. (3-0) P

MSEN 3313 Physical Metallurgy (3 semester credit hours) Application and design of selected metals and alloys in a theoretical and practical context. Relationships between mechanical behavior and alloy chemistry, microstructure, and processing. Corrosion resistance; fatigue failure; creep; brittle fracture. Prerequisites: MSEN 3311 and MSEN 2310. (3-0) F

MSEN 3314 Ceramics and Glasses (3 semester credit hours) Material properties and modern applications of ceramic materials. Mechanical, optical, electronic and chemical properties of advanced ceramic materials are related to atomic structures and defects. Crystal structures of important metallic and ceramic elements, alloys, and compounds. Binary and ternary phase diagrams for notable systems. Ceramic processing and forming methods. Structure, properties and processing of glasses and glass-ceramics. Prerequisite: MSEN 3311. (3-0) F

MSEN 3316 Polymer Science and Engineering (3 semester credit hours) Polymers and polymeric materials from molecule to macroscopic properties. Single polymers, solutions, melts, gels, and networks. Commercial polymers, polymer blends and miscibility, dynamic mechanical behavior, time-temperature superposition, polymer rheology and processing, recycling and design, and selection of polymeric materials. Prerequisite: MSEN 3311. (3-0) P

MSEN 3317 Kinetics and Phase Transformations (3 semester credit hours) Key kinetic processes, nucleation and growth, phase transformations, and the development of microstructure in real materials. Atomic mechanisms of diffusion, analytical and numerical methods to describe diffusion, kinetics of phase transformations, and formation of complex microstructure. Prerequisite: MSEN 3311. (3-0) F

MSEN 3320 Electronic, Optical, and Magnetic Properties of Materials (3 semester credit hours) Foundations of materials properties for electronic, optical, and magnetic applications. Electrical and thermal conduction, elementary quantum physics, modern theory of solids, semiconductors and devices, dielectrics, magnetic and optical materials properties. Prerequisites: (MSEN 3310 or MECH 3360 or EE 3310) and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422) and CHEM 1311. (3-0) P

MSEN 3324 Data Analysis and Statistics in Materials Science and Engineering (3 semester credit hours) Plotting and data visualization. Statistical methods, including uncertainty analysis and hypothesis testing. Curve fitting and data modeling. Image analysis. Case studies in materials science and engineering. Makes use of Matlab, Python, Excel, and other software. Prerequisites: (ECS 1210 and ECS 1220) or equivalent and (MATH 2415 or MATH 2419) and (MSEN 1300 or equivalent). (3-0) F

MSEN 3325 Mathematical Methods in Materials Science and Engineering (3 semester credit hours) Analytical and numerical mathematical methods with application to materials science and engineering. Differential equations, Fourier series and transforms, complex numbers and functions, symmetry and group theory. Makes use of Matlab and Python. Prerequisites: (ECS 1210 and ECS 1220) or equivalent and (MATH 2415 or MATH 2419) and (MSEN 1300 or equivalent). (3-0) P

MSEN 3340 Materials Processing (3 semester credit hours) Materials processing describes the way in which we fabricate finished goods from raw materials. This course will explore the fundamental properties and strategies of materials processing, beginning with an overview of thermodynamic and kinetic principles that underpin this process. The methods of processing metallic, ceramic, electronic, and polymer materials will be discussed, with an eye on how a material's processing relates to its structure and performance. Laboratory work will provide hands-on experience on the preparation and processing techniques discussed in lecture. This course will cover a variety of materials that are frequently used in materials science, chemistry, physics, and various engineering fields. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419 or equivalent) and (PHYS 2326 or PHYS 2422). (2-[2-3]) Y

MSEN 3V11 Topics in Materials Science and Engineering (1-3 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary. (9 semester credit hours maximum). Additional prerequisites may be required depending on the specific course topic. ([1-3]-0) R

MSEN 4301 Materials Selection and Design (3 semester credit hours) Selection methodologies for materials and processes for the satisfaction of a design goal. Creative thinking, problem-solving methodology, interdependence of design with analysis and evaluation, teamwork, and sharpening of communication skills. Team-based analyses of real industrial problems. Prerequisites: (Any two from: MSEN 3313 or MSEN 3314 or MSEN 3316) and ECS 2390 and MSEN 3252 and MSEN 3320. (3-0) F

MSEN 4305 Sustainable Electricity Generation (3 semester credit hours) Electricity accounts for 20 percent of the world's total final consumption of energy. Its global demand is projected to double the 2020 level by 2050. This increase in consumption will decimate the climate unless we find sustainable ways to generate electricity. This course will cover the science and technology of sustainable methods for the generation of electricity. Examples include solar cells, wind energy, nuclear reactions, thermoelectric, and geothermal sources. Prerequisite: MSEN 3304. (3-0) R

MSEN 4306 Batteries and Energy Storage Devices (3 semester credit hours) As a type of energy storage device, batteries, especially lithium-ion batteries, have electrified our society through their applications in portable electronics (cell phones, tablets, laptops, etc.), electric vehicles, medical devices, and grid energy storage. The global demand for lithium-ion batteries is expected to increase from about 700 GWh in 2022 to around 4.7 TWh by 2030. This course will introduce energy storage devices with a focus on battery technology. Various battery systems will be covered including alkaline batteries, lead-acid batteries, lithium-ion batteries, zinc-ion batteries, and flow batteries. The importance of battery design to its performance and safety will be discussed for various applications. We will also cover other energy storage technologies for applications like grid-level energy storage. Prerequisite: MSEN 3304. (3-0) R

MSEN 4391 Technology of Plasma (3 semester credit hours) Plasmas are critical to making the best electronic devices. This class will be an introduction to the technology required to make and use these plasmas. Topics include: high-vacuum technology (gas properties, pumps, pressure gauges, flow-meters, gas composition analysis) and plasma technology (etch, deposition, and lamps). Recommended: ENGR 3341. Prerequisites: ENGR 3300 and (CE 3310 or EE 3310). (Same as EE 4391) (3-0) T

MSEN 4402 Senior Design in Materials Science and Engineering (4 semester credit hours) Project-based capstone course. Student groups design and test a solution that solves an open-ended problem in materials science and engineering. Teams carry the project to completion, examining real world and multiple design constraints, following applicable industrial and business standards. Cross-disciplinary teams are encouraged. Background research, design, analysis, engineering writing, and communication. Prerequisites: MSEN 4301 and ECS 2390. (3-0) P

MSEN 4V95 Undergraduate Research (1-9 semester credit hours) Provides students with experience in a laboratory setting. Hands-on opportunity to interact with professors and companies in the field. May be repeated for credit (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) S

Software Engineering

SE 2340 (COSC 2325) Computer Architecture (3 semester credit hours) Introduces the concepts of computer architecture by going through multiple levels of abstraction, and the numbering systems and their basic computations. Focuses on the instruction-set architecture of the MIPS machine, including MIPS assembly programming, translation between MIPS and C, and between MIPS and machine code. General topics include performance calculation, processor datapath, pipelining, and memory hierarchy. Credit cannot be received for both courses, (CS 2340 or SE 2340) and (CE 4304 or EE 4304). Prerequisites: (CE 1337 or CS 1337 or equivalent) with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better. (Same as CS 2340) (3-0) S

SE 2V95 Undergraduate Topics in Software Engineering (1-6 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). ([1-6]-0) R

SE 2V96 Independent Study in Software Engineering (1-3 semester credit hours) Individual study under a faculty member's supervision. Usually involves some combination of reading, project, research, and meetings with the faculty member. Student must document software engineering content via a written report. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-3]-0) R

SE 3162 Professional Responsibility in Computer Science and Software Engineering (1 semester credit hour) Professional and ethical responsibilities of computer scientists and software engineers as influenced by growth in computer use and networks. Costs and benefits of computer technology. Risks and liabilities of safety-critical systems. Social implications of the Internet. Interaction between human values and technical decisions involving computing. Intellectual Property. Global impact of computing. Prerequisites: (ECS 2390 and GOVT 2305) with a grade of C or better. (Same as CS 3162) (1-0) S

SE 3306 Mathematical Foundations of Software Engineering (3 semester credit hours) Boolean logic, first-order logic, models of first-order logic. Foundations of program verification, applications in software engineering. Completeness Theorem. Regular expressions, regular sets, finite-state machines, and applications in software engineering. Graph Theory, graph algorithms. Statecharts, Petri Nets and their role in software engineering. Credit cannot be received for both courses, CS 3305 and SE 3306. Double majors are required to take CS 3305. Prerequisite: (CE 2305 or CS 2305 or equivalent) with a grade of C or better. (3-0) S

SE 3341 Probability and Statistics in Computer Science and Software Engineering (3 semester credit hours) Axiomatic probability theory, independence, conditional probability. Discrete and continuous random variables, special distributions of importance to CS/SE, and expectation. Simulation of random variables. Central limit theorem. Basic statistical inference, parameter estimation, hypothesis testing, and linear regression. Foundations of stochastic processes. Illustrative examples and simulation exercises from queuing, reliability, and other CS/SE applications. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. Prerequisites: (MATH 1326 or MATH 2414 or MATH 2419) with a grade of C or better, and MATH 2418 with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better. (Same as CS 3341 and STAT 3341) (3-0) S

SE 3345 Data Structures and Foundations of Algorithmic Analysis (3 semester credit hours) Analysis of algorithms including time complexity and Big-O notation. Analysis of stacks, queues, and trees, including B-trees. Heaps, hashing, and advanced sorting techniques. Disjoint sets and graphs. Course emphasizes design and implementation. Prerequisites: (CE 2305 or CS 2305 or MATH 3315) with a grade of C or better, and (CE 2336 or CS 2336 or CS 2337) with a grade of C or better. (Same as CE 3345 and CS 3345) (3-0) S

SE 3354 Software Engineering (3 semester credit hours) Foundations of software life cycle models. Software requirements engineering, formal specification, and validation. Techniques for software design and testing. Cost estimation models. Issues in software quality assurance and software maintenance. Prerequisites: (CE 2305 or CS 2305) with a grade of C or better and (CE 2336 or CS 2336 or CS 2337 or CS 3333) with a grade of C or better and ECS 2390 with a grade of C or better. (Same as CE 3354 and CS 3354) (3-0) S

SE 3377 Systems Programming in UNIX and Other Environments (3 semester credit hours) Basic UNIX concepts, commands, and utilities, organization of UNIX file system including links and access control, creating and managing UNIX processes and threads, implementing algorithms using shell scripts, basic networking concepts including socket and client-server programming, inter-process communication using pipes and signals, using a version control system to manage work, and an overview of cloud computing. Design and implementation of a comprehensive programming project is required. Prerequisite: (CE 2336 or CS 2336 or CS 2337 or equivalent) with a grade of C or better. (Same as CS 3377) (3-0) S

SE 3V95 Undergraduate Topics in Software Engineering (1-6 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). ([1-6]-0) R

SE 3V96 Independent Study in Software Engineering (1-3 semester credit hours) Individual study under a faculty member's supervision. Usually involves some combination of reading, project, research, and meetings with the faculty member. Student must document software engineering content via a written report. May be repeated for credit as topics vary (6 semester credit hours maximum). Prerequisites: Completion of all lower division coursework required and instructor consent required. ([1-3]-0) R

SE 4347 Database Systems (3 semester credit hours) Emphasizes the concepts and structures necessary for the design and implementation of database management systems. Topics include data models, data normalization, data description languages, query facilities, file organization, index organization, file security, data integrity, and reliability. Prerequisite: (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (Same as CS 4347) (3-0) Y

SE 4348 Operating Systems Concepts (3 semester credit hours) Fundamental concepts in operating systems: their design, implementation, and usage. Topics include process management, main memory management, virtual memory, I/O and device drivers, file systems, secondary storage management, and foundations of critical sections and deadlocks. Prerequisites: (CS 2340 or SE 2340 or equivalent) with a grade of C or better and (CS 3377 or SE 3377) with a grade of C or better and (CE 3345 or CS 3345 or SE 3345) with a grade of C or better. (Same as CS 4348) (3-0) S

SE 4351 Requirements Engineering (3 semester credit hours) Foundations of system and software requirements engineering. The requirements engineering process, including requirements elicitation, specification, and validation. Essential words and types of requirements. Structural, informational, and behavioral requirements. Non-functional requirements. Scenario analysis. Conventional, object-oriented and goal-oriented methodologies. Prerequisites: SE 3306 with a grade of C or better and (CE 3354 or CS 3354 or SE 3354) with a grade of C or better. (3-0) S

SE 4352 Software Architecture and Design (3 semester credit hours) Foundations of software design with emphasis on architectural design. Models of software architecture. Architecture styles and patterns, including explicit, event-driven, client-server, and middleware architectures. Decomposition and composition of architectural components and interactions. Use of non-functional requirements for tradeoff analysis. Component based software development, deployment and management. Prerequisites: SE 3306 with a grade of C or better and (CE 3354 or CS 3354 or SE 3354) with a grade of C or better. (3-0) S

SE 4367 Software Testing, Verification, Validation and Quality Assurance (3 semester credit hours) Methods for evaluating software for correctness and reliability, including code inspections, program proofs, and testing methodologies. Formal and informal proofs of correctness. Code inspections and their role in software verification. Unit and system testing techniques, testing tools, and limitations of testing. Statistical testing, reliability models. Prerequisites: SE 3306 with a grade of C or better and (CE 3354 or CS 3354 or SE 3354) with a grade of C or better. (3-0) S

SE 4376 Object-Oriented Design (3 semester credit hours) In-depth study of the features/advantages of the object-oriented approach to problem solving. Special emphasis on issues of object-oriented analysis, design, implementation, and testing. Review of basic concepts of object-oriented technology (abstraction, inheritance, and polymorphism). Object-oriented programming languages, databases, and productivity tools. Prerequisites: (CE 2336 or CS 2336 or CS 2337 or equivalent) with a grade of C or better, and (CE 3354 or CS 3354 or SE 3354) with a grade of C or better. (Same as CS 4376) (3-0) S

SE 4381 Software Project Planning and Management (3 semester credit hours) Planning and managing of software development projects. Software process models, ISO 9000, SEI's Capability Maturity Model, continuous process improvement. Planning, scheduling, tracking, cost estimation, risk management, configuration management. Prerequisite: (CE 3354 or CS 3354 or SE 3354) with a grade of C or better. (3-0) Y

SE 4399 Thesis Research in Software Engineering (3 semester credit hours) Students design and carry out a research project and write a thesis on the topic of their choice, under the close supervision of a faculty member during their final year. Department consent required. (3-0) R

SE 4485 Software Engineering Project (4 semester credit hours) Intended to complement the theory and to provide an in-depth, hands-on experience in all aspects of software engineering. The students will work in teams on projects of interest to industry and will be involved in analysis of requirements, architecture and design, implementation, testing and validation, project management, software process, software maintenance, and software re-engineering. Students will also explore the potential impact of software systems on society. Additionally, this course will cover topics related to the software engineering profession, including ethics and professional responsibility, entrepreneurship, and leadership. Lab fee of $30 required. Prerequisites: At least two of the following with a grade of C or better: SE 4351 or SE 4352 or SE 4367 or SE 4381. (4-1) S

SE 4V95 Undergraduate Topics in Software Engineering (1-6 semester credit hours) Subject matter will vary from semester to semester. Additional prerequisites may be required depending on the specific course topic. May be repeated for credit as topics vary (9 semester credit hours maximum). Prerequisite: (CS 3345 or SE 3345 or CE 3345) with a grade of C or better. ([1-6]-0) R

SE 4V96 Independent Study in Software Engineering (1-3 semester credit hours) Individual study under a faculty member's supervision. Usually involves some combination of reading, project, research, and meetings with the faculty member. Student must document software engineering content via a written report. Can be counted towards technical elective requirements. May be repeated for credit as topics vary (6 semester credit hours maximum for SE 4V96 and SE 4V98 combined). Prerequisites: Completion of all lower division coursework and instructor consent required. ([1-3]-0) R

SE 4V98 Undergraduate Research in Software Engineering (1-6 semester credit hours) Independent research under the guidance of a faculty member on advanced topics in computer science. Can be counted towards technical elective requirements. May be repeated for credit as topics vary (6 semester credit hours maximum for SE 4V96 and SE 4V98 combined). Prerequisites: Completion of all lower division coursework and instructor consent required. ([1-6]-0) R

Systems Engineering

SYSE 1101 Introduction to Systems Engineering (1 semester credit hour) Introduction to the discipline and practice of systems engineering; overview of the systems engineering curriculum; Systems thinking, basic problem-solving skills; professional ethics; teambuilding. Applications of systems engineering; large-scale systems, systems of systems, manufacturing automation, transportation systems, energy systems, healthcare systems; lectures by systems engineering experts. (1-0) Y

SYSE 2300 Project Management (3 semester credit hours) Instruction in planning, organizing, and managing resources to bring about the successful completion of specific project goals and objectives; various aspects of managing projects in engineering and operations environments, including critical path methods for planning and controlling projects, time and cost tradeoffs, resource utilization, organizational design, and conflict resolution. Prerequisite: ECS 2390 with a grade of C or better. (3-0) Y

SYSE 2310 Systems Architecture (3 semester credit hours) Structure and behavior of large-scale systems from technical and management perspectives; systems architecture, requirements analysis, design tradeoffs, and reliability; components and their interactions in engineering systems and processes. Prerequisite: ECS 2390 with a grade of C or better. (3-0) Y

SYSE 3300 Systems Design (3 semester credit hours) Structured, systematic innovation methodologies for the design of complex systems; application of modern systems engineering life cycles and tools; qualitative and quantitative methods for system conceptualization, feasibility analysis, requirements definition, prototyping, testing and design iteration; case studies and practical application through project-based learning. Prerequisites: (SYSE 2300 and SYSE 2310) with a grade of C or better. (3-0) Y

SYSE 3355 Data Science for Engineers (3 semester credit hours) Fundamental topics of data science, including principles of data processing and representation, modeling and algorithms, and evaluation mechanisms; use of real-world engineering problems and data to illustrate and demonstrate the advantages and disadvantages of different algorithms, and compare their effectiveness and efficiency. Prerequisites: (ENGR 2300 and ENGR 3341) with a grade of C or better or equivalent. (3-0) Y

SYSE 3V90 Undergraduate Research in Systems Engineering (1-3 semester credit hours) Individual research under the guidance of a UT Dallas faculty member. The project may involve a theoretical study and/or laboratory implementation. A project report is required at the end of the semester. A maximum of three semester credit hours may be applied toward the systems engineering secondary field requirement. Instructor consent required. May be repeated for credit (3 semester credit hours maximum). ([1-3]-0) R

SYSE 4302 Complex Networks for Engineers (3 semester credit hours) Design and analysis of complex interconnected networks and systems; basic concepts in graph theory; Eulerian and Hamiltonian graphs; traveling salesman problems; random graphs; power laws; small world networks; clustering; applications to social networks, the internet, financial networks, and biological networks. Prerequisites: (ENGR 2300 and ENGR 3341) with a grade of C or better. (3-0) Y

SYSE 4305 Optimization (3 semester credit hours) Basics of optimization, numerical algorithms, and applications; linear programming (simplex method, duality theory); least-squares, gradient descent, and Newton's method; Lagrange multipliers in constrained optimization; convexity. Applications in engineering, operations research, and finance. Prerequisite: ENGR 2300 with a grade of C or better. (3-0) Y

SYSE 4306 Modeling and Simulation (3 semester credit hours) Mathematical modeling and simulation of physical systems; numerical methods for solution of ordinary and partial differential equations; regression; systems identification; Markov chains; Monte Carlo methods; feedback systems. Prerequisites: (PHYS 2325 and ENGR 2300 and MATH 2420) with a grade of C or better. (3-0) Y

SYSE 4320 Robot Dynamics and Control (3 semester credit hours) Control of robot manipulators, mobile robots and drones; Lagrangian dynamics, kinematics and dynamics of nonholonomic systems; sensor and actuator dynamics; linear a, nonlinear, and adaptive control principles applied to robots. Prerequisite: EE 4310 with a grade of C or better or equivalent. (3-0) R

SYSE 4330 Dynamical Systems for Engineering Applications (3 semester credit hours) Analysis of linear and nonlinear dynamical systems; state space representation; vector fields and flows; trajectories and phase portraits; equilibria; periodic motion and limit cycles; stability; bifurcations and chaos; applications to population dynamics, models of epidemics and product adoption, dynamics of electrical and mechanical systems. Prerequisites: (PHYS 2325 and ENGR 2300 and MATH 2420) with a grade of C or better. (3-0) Y

SYSE 4380 Capstone Design Project (3 semester credit hours) Capstone design course; a team project covering the full engineering design process utilizing standard industrial practices and methods; examination of real world and multiple design constraints following applicable industrial and business standards; constraints may include economic, environmental, team time/resource management, and cross-disciplinary/departmental integration. A public oral poster presentation following departmental approved guidelines at a departmental approved time and location is required. Prerequisites: (SYSE 3300 and SYSE 3355) with a grade of C or better. (3-0) Y

SYSE 4V90 Special Topics in Systems Engineering (1-3 semester credit hours) Various topics in Systems Engineering. Maximum 6 credit hours may be applied toward the Systems engineering secondary field requirement. May be repeated for credit as topics vary (6 semester credit hours maximum). ([1-3]-0) R