UT Dallas 2014 Undergraduate Catalog

Biomedical Engineering

BMEN 1208 Introduction to Biomedical Engineering (2 semester credit hours) Project-based instruction. The purpose of this course is to give students a general understanding of the broad range of applications specific to the biomedical engineering profession. Course exercises include team-oriented competitions, lectures by various external biomedical engineering experts, and introductory materials associated with the discipline. Perform a competitive team design project. Prerequisite: ECS 1200. Prerequisites or Corequisites: (PHYS 2325 and PHYS 2125) and (MATH 2419 or MATH 2414). (0-3) Y

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. (3-0) Y

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 3101 Biomechanics Laboratory (1 semester credit hour) Laboratory course. Prerequisite: RHET 1302. Prerequisite or Corequisite: BMEN 3301. (0-1) Y

BMEN 3110 Biomedical Transport Processes Laboratory (1 semester credit hour) Laboratory course. Prerequisite: RHET 1302. Prerequisite or Corequisite: BMEN 3310. (0-1) Y

BMEN 3120 Biomedical Circuits and Instrumentation Laboratory (1 semester credit hour) Laboratory course. This course will include a brief recitation (discussion) session prior to each lab. Prerequisite or Corequisite: BMEN 3320. Prerequisite: RHET 1302. (0-1) Y

BMEN 3130 Engineering Physiology Laboratory (1 semester credit hour) Laboratory course. Prerequisite or Corequisite: BMEN 3330. Prerequisite: RHET 1302. (0-1) Y

BMEN 3150 Biomedical Engineering Laboratory (1 semester credit hour) Laboratory course. Prerequiste or Corequisite: BMEN 3350. Prerequisite: RHET 1302. (0-1) Y

BMEN 3301 Introduction to Biomechanics (3 semester credit hours) Mechanical properties of biological materials. The molecular basis for macroscopically measured quantities. Molecular mechanics (e.g. protein folding). Cellular mechanics of passive and active processes (e.g. cytoskeletal mechanics, cell migration). Simulation and numerical solution of dynamical equations arising in biomechanics. Corequisite: BMEN 3101. Prerequisites: BMEN 1208 and BMEN 2320. (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. Corequisite: BMEN 3110. Prerequisites: ENGR 3300 and BMEN 3301. (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. Credit cannot be received for both courses, BMEN 3315 and BMEN 3360. Prerequisites: (PHYS 2326 and PHYS 2126) and (CHEM 1312 and CHEM 1112) and MATH 2420. (3-0) Y

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, linear circuit elements, circuit principles, signal waveforms, transient and steady state circuit behavior, diode and transistor circuits, operational amplifiers, digital logic devices. Time domain and Laplace transform methods for analysis of electric circuits. Modeling, analysis and simulation of circuits. It is recommended that students take BMEN 3120 with this course. Prerequisites: MATH 2420 and (PHYS 2126 and PHYS 2326). (3-0) Y

BMEN 3330 Engineering Physiology of the Human Body (3 semester credit hours) An introduction to the physiology of the human body for engineers. This course will cover the various levels of structural organization of the body, from molecular, cellular and tissue/organ organization to the whole body anatomy and maintenance. The role of biological principles, phenomena and technology to monitor these processes will be highlighted in engineering terms. It is recommended that students take BMEN 3130 with this course. Prerequisite: BIOL 2311. (3-0) Y

BMEN 3350 Biomedical Component and System Design (3 semester credit hours) Fundamental knowledge behind design of biomedical systems. Design and implementation of biomedical signal processing. Modeling and simulation for biomedical systems. Circuit and system design method for implantable devices. Software and hardware infrastructure for biomedical applications. Computer-aided techniques for analyzing sampled data. It is recommended that students take BMEN 3150 with this course. Prerequisites: BMEN 3320 and ENGR 3300. (3-0) Y

BMEN 3360 Thermodynamics (3 semester credit hours) Lecture course. This course focuses on introductory concepts and definitions of thermodynamics, energy and the availability of reversible work, machine, and cycle processes; real gas behavior; first law of thermodynamics, phase-change, internal energy, energy balance, entropy, ideal gas, control volume analysis, second law of thermodynamics, vapor, gas and refrigeration power systems. Credit cannot be received for both courses, BMEN 3315 and BMEN 3360. Prerequisites: ENGR 3300 and PHYS 2325. Prerequisite or Corequisite: CHEM 1311. (3-0) Y

BMEN 3370 Digital Circuits (3 semester credit hours) Digital circuit design, hardware structures, and assembly-language concepts that underlie the design of modern computer systems. Topics include: internal data representation and arithmetic operations in a computer, basic logic circuits, MIPS assembly language, and an overview of computer architecture. Boolean logic. Design and analysis of combinational logic circuits using SSI and MSI. Design and analysis of synchronous state machines. State minimization and assignment. Design of arithmetic circuits: adders, multipliers, and shifters. Prerequisites: MATH 2420 and (PHYS 2126 and PHYS 2326). (3-0) Y

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 4110 Biomedical Feedback Systems Laboratory (1 semester credit hour) Laboratory course. Corequisite: BMEN 4310. Prerequisite: RHET 1302. (0-1) Y

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 recommended that students take BMEN 4110 with this course. Prerequisites: ENGR 2300 and MATH 2420. (3-0) Y

BMEN 4320 Intermediate Electrical Systems (3 semester credit hours) Principles of circuit and system analysis methods used in the design and analysis of biomedical instrumentation. Circuit solution methods. Filter design methods. Special emphasis is placed on circuits commonly employed in biomedical devices, such as amplifiers and filtering networks used in electrocardiograph systems, construction and characterization of simple transducers and signal conditioning equipment for measuring biomedical parameters such as force, displacement, pressure, flow and biopotentials. Prerequisites: BMEN 3320 and BMEN 3120. (3-0) Y

BMEN 4330 Advanced Engineering Physiology of the Human Body (3 semester credit hours) Advanced extension of BMEN 3330. This course will cover in-depth examples of the human physiology with engineering terms, with specific emphasis on synthetic biology approach to biological networks and systems biology approach to complex diseases, such as cancer and mental disorders. Prerequisite: BMEN 3330. (3-0) Y

BMEN 4350 Applied Sensor Technology (3 semester credit hours) Introduction to the basic principles and design issues of biomedical sensors and instrumentation, including: the physical principles of biomedical sensors, analysis of biomedical instrumentation systems, and the application-specific biomedical sensor and instrumentation design. Topics include: basic concepts of sensors and instrumentation, membrane biophysics, action potentials, biopotential electrodes. Prerequisites: (BMEN 3320 and BMEN 3120) and (BMEN 3330 and BMEN 3130). (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 1312. (3-0) Y

BMEN 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, 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/departmental 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: BMEN 3320 and BMEN 3330 and BMEN 3350 and ECS 3390. (3-0) Y

BMEN 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: BMEN 4388. (3-0) Y

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 (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

BMEN 4V97 Independent Study in Biomedical 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). Instructor consent required. ([1-9]-0) R

BMEN 4V98 Undergraduate Research in Biomedical 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). Instructor consent required. ([1-9]-0) R

Computer Engineering

CE 1202 Introduction to Electrical Engineering (2 semester credit hours) CE 1202 introduces the discipline of engineering. It includes a 1.5-hour lecture per week plus a 3-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, engineering research at UT Dallas, engineering activities at selected local companies, and concepts such as innovation and invention. The course also includes lectures and projects on communication, understanding the importance of lifelong learning, ethics, and a knowledge of contemporary issues. CE 1202 may be taken by students outside of engineering in order to learn about the engineering profession. This course will retain core notation for a transition period - see http://go.utdallas.edu/core-curriculum-transition. Please consult advisors for more detailed information. (Same as EE 1202 and TE 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++. Prerequisite: CS 1336 with a grade of C or better or equivalent. (Same as CS 1337 and TE 1337) (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: Score of at least 75% in ALEKS or MATH 2312 with a grade of C or better. (Same as CS 2305 and TE 2305) (3-0) S

CE 2310 Introduction to Digital Systems (3 semester credit hours) Introduction to digital circuits, hardware structures, and assembly-language concepts that underlie the design of modern computer systems. Topics include: Internal data representation and arithmetic operations in a computer, basic logic circuits, MIPS assembly language and an overview of computer architecture. Some knowledge of a high-level language such as C++ or Java is expected. This class also has a laboratory component. Exercises will be assigned in class for completion in the laboratory. This class may be offered as either regular or honors sections (H). (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. Prerequisite: CE 1337 or CS 1337 or TE 1337 with a grade of C or better. Prerequisite or Corequisite: CE 2305 or CS 2305 or TE 2305 with a grade of C or better. (Same as CS 2336 and TE 2336) (3-0) S

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

CE 3101 Electrical Network Analysis Laboratory (1 semester credit hour) Laboratory to accompany CE 3301. Design, assembly and testing of linear electrical networks and systems. Use of computers to control electrical equipment and acquire data. Prerequisites: (CE 1202 or EE 1202 or TE 1202) and RHET 1302. Corequisite: CE 3301. (Same as EE 3101 and TE 3101) (0-1) S

CE 3102 Signals and Systems Laboratory (1 semester credit hour) Laboratory based on MATLAB and LabVIEW to provide implementation experience on topics covered in CE 3302. Laboratory experiments cover linear time-invariant systems, convolution, Fourier series, continuous Fourier transform, sampling, discrete Fourier transform, analog and digital filtering. Each lab is followed by a design application. Corequisite: CE 3302. Prerequisite: RHET 1302. (Same as EE 3102 and TE 3102) (0-1) S

CE 3110 Electronic Devices Laboratory (1 semester credit hour) Laboratory to accompany CE 3310. Experimental determination and illustration of properties of carriers in semiconductors including carrier drift, carrier diffusion; p-n junctions including forward and reverse bias effects and transient effects; bipolar transistors including the Ebers-Moll model and secondary effects; field effect transistors including biasing effects, MOS capacitance and threshold voltage. Corequisite: CE 3310 or EE 3310. Prerequisite: RHET 1302. (Same as EE 3110) (0-1) S

CE 3111 Electronic Circuits Laboratory (1 semester credit hour) Laboratory to accompany CE 3311. Design, assembly and testing of electronic circuits that use diodes, transistors and operational amplifiers in configurations typically encountered in practical applications. Corequisite: CE 3311 or EE 3311. Prerequisite: RHET 1302. (Same as EE 3111) (0-1) S

CE 3120 Digital Circuits Laboratory (1 semester credit hour) Laboratory to accompany CE 3320. Design, assembly, and testing of logic circuits. Use of programmable logic devices and simple CAD tools. Corequisite: CE 3320 or EE 3320. Prerequisite: RHET 1302. (Same as EE 3120) (0-1) S

CE 3301 Electrical Network Analysis (3 semester credit hours) Analysis and design of RC, RL, and RLC electrical networks. Sinusoidal steady state analysis of passive networks using phasor representation; mesh and nodal analyses. Introduction to the concept of impulse response and frequency analysis using the Laplace transform. Prerequisites: MATH 2420 and PHYS 2326. Corequisite: CE 3101. (Same as EE 3301 and TE 3301) (3-0) S

CE 3302 Signals and Systems (3 semester credit hours) Introduces 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. Prerequisite: ENGR 3300. Corequisite: CE 3102. (Same as EE 3302 and TE 3302) (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. Prerequisite: CE 3301 or EE 3301 or TE 3301. Corequisite: CE 3110 or EE 3110. (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 3310 or EE 3310. Corequisite: CE 3111 or EE 3111. (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. Corequisite: CE 3120. (Same as EE 3320) (3-0) S

CE 3345 Data Structures and Introduction to 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 TE 2305 with a grade of C or better) and (CE 2336 or CS 2336 or TE 2336 with a grade of C or better). Prerequisite or Corequisite: (CS 3341 or SE 3341 or ENGR 3341). (Same as CS 3345 and SE 3345 and TE 3345) (3-0) S

CE 3354 Software Engineering (3 semester credit hours) Introduction to 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 2336 or CS 2336 or TE 2336 with a grade of C or better or CS 3333) and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better or equivalent). Prerequisite or Corequisite: ECS 3390. (Same as CS 3354 and SE 3354) (3-0) 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 3340 or SE 3340 or TE 3340) and (CE 4304 or EE 4304). Prerequisite: CE 3320 or EE 3320. (Same as EE 4304) (3-0) S

CE 4337 Organization of Programming Languages (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 imperative languages, object-oriented languages, functional languages and logic languages. Design, implement, and debug programs in various programming language paradigms. Prerequisites: (CE 2336 or CS 2336 or TE 2336) with a grade of C or better or CS 3333) and (CE 2305 or CS 2305 or TE 2305) with a grade of C or better and (CS 3340 or SE 3340 or TE 3340 or CE 4304 or EE 4304). (Same as CS 4337) (3-0) S

CE 4348 Operating Systems Concepts (3 semester credit hours) An introduction to 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 an introduction to critical sections and deadlocks. Prerequisites: (CS 3340 or SE 3340 or TE 3340 or equivalent), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and a working knowledge of C and UNIX. (Same as CS 4348 and SE 4348 and TE 4348) (3-0) S

CE 4370 Embedded Microprocessor Systems (3 semester credit hours) An introduction to microprocessors and their uses. Features commonly found in a CPU are discussed, such as: The Program Counter, Stack, Status Register, General Purpose Registers, ALU, Instruction Set and peripheral devices. Memory (SRAM, DRAM, EPROM, EEPROM) and Memory Mapped IO Peripheral Devices. Assembly language is used to create the binary machine code necessary to program a Microprocessor system. The special features of microprocessors: the stack, interrupts, input ports, out ports, and display. Prerequisites: (CE 3311 or EE 3311) and (CE 3320 or EE 3320). Corequisite: CE 4304 or EE 4304. (Same as EE 4370) (3-1) Y

CE 4372 Contemporary Systems Design (3 semester credit hours) Design and analysis based system level design concepts, develop working projects using traditional and emerging technologies. Emphasis on specifying requirements, tracking projects and building test and validation strategies. Prerequisites: (CE 3320 or EE 3320) and (CE 3345 or CS 3345 or SE 3345 or TE 3345) and (CE 3354 or CS 3354 or SE 3354). (3-0) 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, 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 3390 and one of the following prerequisite sequences: ((CE 3311 or EE 3311), and (CE 3320 or EE 3320), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and (CE 3354 or CS 3354 or SE 3354)), or [((ENGR 3300 and (CE 3302 or EE 3302 or TE 3302), and (CE 3311 or EE 3311), and (CE 3320 or EE 3320)), or ((ENGR 3300 and (CE 3302 or EE 3302 or TE 3302), and (CE 3345 or CS 3345 or SE 3345 or TE 3345)); prerequisite or corequisite: EE 3350 or TE 3350.] (Same as EE 4388 and TE 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 or TE 4388. (Same as EE 4389 and TE 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 or TE 4390) and EE 4390. Prerequisite: CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent. (Same as CS 4390 and TE 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. (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). ([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). 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). 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. Corequisite: CS 1334. (0-2) S

CS 1136 (COSC 1136) Computer Science Laboratory (1 semester credit hour) Laboratory course to accompany CS 1336. 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. Corequisite: CS 1336. (0-2) S

CS 1324 Introduction to Programming for Biomedical Engineers (3 semester credit hours) Computer programming in a high-level, block structured language with a focus on engineering applications in medicine. Basic data types and variables, memory usage, control structures, functions/procedures and parameter passing, recursion, input/output. Programming projects related to biomedical engineering applications. May not be used to satisfy degree requirements for majors in Computer Engineering, Computer Science, Software Engineering, and Telecommunications Engineering. Prerequisite: CS 1336 or equivalent. (3-0) S

CS 1325 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 projects related to engineering applications, numerical methods. May not be used to satisfy degree requirements for majors in Computer Engineering, Computer Science, Software Engineering, and Telecommunications Engineering. Prerequisite: CS 1336 or equivalent. (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. 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 or TE 1337). Prerequisite: CS 1334 with a grade of C or better or equivalent. (3-0) S

CS 1336 (COSC 1336) Programming Fundamentals (3 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. May not be used to satisfy degree requirements for majors in the School of Engineering and Computer Science. Note that a grade of C- or better in this class is required in order to register for (CS 1324 or CS 1325); a grade of C or better in this class is required to register for (CE 1337 or CS 1337 or TE 1337). Corequisite: CS 1136. (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++. Prerequisite: CS 1336 with a grade of C or better or equivalent. (Same as CE 1337 and TE 1337) (3-0) 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: Score of at least 75% in ALEKS or MATH 2312 with a grade of C or better. (Same as CE 2305 and TE 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 TE 2336). Prerequisite: CS 1335 or CE 1337 or CS 1337 or TE 1337. (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. Prerequisite: CE 1337 or CS 1337 or TE 1337 with a grade of C or better. Prerequisite or Corequisite: CE 2305 or CS 2305 or TE 2305 with a grade of C or better. (Same as CE 2336 and TE 2336) (3-0) S

CS 2V95 Individual Instruction in Computer Science (1-6 semester credit hours) Individual study under a faculty member's direction. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-6]-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 (3 semester credit hours maximum). Prerequisites: (CE 2336 or CS 2336 or TE 2336) 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 or Corequisites: CS 3345 and CS 3354 and ECS 3361. (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. Prerequisites: (CE 2305 or CS 2305 or TE 2305) with a grade of C or better, and (MATH 2414 or MATH 2419). (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. This course covers much of the same material as CS 3345 without requiring the analysis of algorithms. May not be used to satisfy degree requirements for majors in Computer Science. Credit cannot be received for both courses, (CE 2336 or CS 2336 or TE 2336) and CS 3333. Prerequisite: CS 1335 or (CE 1337 or CS 1337 or TE 1337) or CS 3335 or equivalent programming experience. (3-0) Y

CS 3335 C and C++ (3 semester credit hours) Numerous programming projects in both C and C++. All fundamentals of C, with special emphasis on use of pointers. Use of C++ extensions to create and extend (by inheritance) abstract data types. The use/advantages of virtual functions (dynamic polymorphism). Prerequisite: CS 2335 or (CE 2336 or CS 2336 or TE 2336) or equivalent. (3-0) T

CS 3340 Computer Architecture (3 semester credit hours) This course introduces the concepts of computer architecture by going through multiple levels of abstraction, and the numbering systems and their basic computations. It 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 3340 or SE 3340 or TE 3340) and (CE 4304 or EE 4304). Prerequisites: (CE 1337 or CS 1337 or TE 1337 with a grade of C or better or equivalent) and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better). (Same as SE 3340 and TE 3340) (3-0) S

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 and Monte Carlo methods. Central limit theorem. Basic statistical inference, parameter estimation, hypothesis testing, and linear regression. Introduction to 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), and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better). (Same as SE 3341 and STAT 3341) (3-0) S

CS 3345 Data Structures and Introduction to 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 TE 2305 with a grade of C or better) and (CE 2336 or CS 2336 or TE 2336 with a grade of C or better). Prerequisite or Corequisite: (CS 3341 or SE 3341 or ENGR 3341). (Same as CE 3345 and SE 3345 and TE 3345) (3-0) S

CS 3354 Software Engineering (3 semester credit hours) Introduction to 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 2336 or CS 2336 or TE 2336 with a grade of C or better or CS 3333) and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better or equivalent). Prerequisite or Corequisite: ECS 3390. (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. (3-0) Y

CS 3376 C/C++ Programming in a UNIX Environment (3 semester credit hours) Advanced programming techniques utilizing procedural and object oriented programming in a UNIX environment. Topics include file input and output, implementation of strings, stacks, queues, lists, and trees, and dynamic memory allocation/management. Design and implementation of a comprehensive programming project is required. Prerequisite: (CE 2336 or CS 2336 or TE 2336) with a grade of C or better or equivalent. (Same as SE 3376) (3-0) S

CS 3385 Ethics, Law, Society, and Computing (3 semester credit hours) Issues of professional ethics; computer crime; wiretapping and encryption; protecting software and other intellectual property; privacy and information; careers and computers; reliability and safety; constitutional issues. Broader issues on the impact and control of computers. (3-0) S

CS 3V95 Undergraduate Topics in Computer Science (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). ([1-9]-0) S

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. Corequisite: CS 4341 or TE 4341. (Same as TE 4141) (0-2) S

CS 4314 Intelligent Systems Analysis (3 semester credit hours) Convergence analysis of the behavior of nonlinear high-dimensional deterministic and stochastic dynamical systems which are widely used in the fields of machine learning and artificial neural network modeling. Topics include: artificial neural network architectures, Lyapunov stability theory, nonlinear optimization theory, stochastic approximation theory, and Monte Carlo Markov Chain (MCMC) algorithms. Prerequisites: (STAT 3341 or equivalent) and MATH 2418 and MATH 2419. (Same as CGS 4314) (3-0) T

CS 4315 Intelligent Systems Design (3 semester credit hours) Mathematical analysis of estimation (learning) and inference in nonlinear high-dimensional deterministic and stochastic dynamical systems widely used in the fields of machine learning and artificial neural network modeling. The course uses a mathematical statistics perspective that emphasizes parametric statistical methods for the direct analysis of generalization performance in artificially intelligent dynamical systems. Topics include: (1) Markov Random Field probability representations, and (2) asymptotic mathematical statistical theory for: parameter estimation, model selection, and hypothesis testing. Prerequisites: (STAT 3341 or equivalent) and MATH 2418 and MATH 2419. (Same as CGS 4315) (3-0) T

CS 4332 Introduction to 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 or TE 3345. (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: (CE 1337 or CS 1337 or TE 1337) and (MATH 2418 and MATH 2451). (Same as MATH 4334) (3-0) Y

CS 4336 Advanced Java (3 semester credit hours) Advanced Java programming techniques integrating the technologies of advanced swing GUI components, JavaBeans, Java Servlets and Server Pages, XML, Security, Java Database Connectivity, Remote Method Invocation, and Software applications for Wireless Devices. Students will have the opportunity to work on their own E-Business Solutions. Prerequisite: CE 2336 or CS 2336 or TE 2336 or equivalent. (3-0) T

CS 4337 Organization of Programming Languages (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 imperative languages, object-oriented languages, functional languages and logic languages. Design, implement, and debug programs in various programming language paradigms. Prerequisites: ((CE 2336 or CS 2336 or TE 2336) with a grade of C or better or CS 3333) and (CE 2305 or CS 2305 or TE 2305) with a grade of C or better and (CS 3340 or SE 3340 or TE 3340 or CE 4304 or EE 4304). (Same as CE 4337) (3-0) S

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 or TE 4341) and (CE 3320 or EE 3320). Prerequisites: (CE 2310 or EE 2310) or (CS 3340 or SE 3340 or TE 3340) and PHYS 2326. Corequisite: (CS 4141 or TE 4141). (Same as TE 4341) (3-0) S

CS 4347 Database Systems (3 semester credit hours) This course 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 or TE 3345. (Same as SE 4347) (3-0) Y

CS 4348 Operating Systems Concepts (3 semester credit hours) An introduction to 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 an introduction to critical sections and deadlocks. Prerequisites: (CS 3340 or SE 3340 or TE 3340 or equivalent), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and a working knowledge of C and UNIX. (Same as CE 4348 and SE 4348 and TE 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: CS 3305 with a grade of C or better, and (CE 3345 or CS 3345 or SE 3345 or TE 3345). (3-0) S

CS 4352 Human Computer Interactions I (3 semester credit hours) Methods and principles of human-computer interaction (HCI), user-centered design (UCD), and usability evaluation. Provides broad overview of HCI and how HCI informs UCD processes throughout product development lifecycle. (Same as CGS 4352) (3-0) T

CS 4353 Human Computer Interactions II (3 semester credit hours) Detailed exploration of human-computer interaction (HCI) through readings in journal articles and research reports. Practical experience in methodology typically used in the design of usable systems. (Same as CGS 4353) (3-0) T

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, and (CE 2336 or CS 2336 or TE 2336), and (CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent). (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 TE 3345 or equivalent. (3-0) Y

CS 4375 Introduction to 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) and (CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent). (3-0) Y

CS 4376 Object-Oriented Programming Systems (3 semester credit hours) In-depth study of the features/advantages of 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. Prerequisite: (CE 2336 or CS 2336 or TE 2336) with a grade of C or better or equivalent. (Same as SE 4376) (3-0) S

CS 4384 Automata Theory (3 semester credit hours) A review of the abstract notions encountered in machine computation. Topics include finite automata, regular expressions, PDAs, and context-free languages. Prerequisite: CS 3305 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 TE 3345 (or equivalent). (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. (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 or TE 4390) and EE 4390. Prerequisite: CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent. (Same as CE 4390 and TE 4390) (3-0) S

CS 4391 Introduction to 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. Prerequisites: CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent. (3-0) Y

CS 4392 Computer Animation (3 semester credit hours) Introduction to 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 and (CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent). (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. Prerequisite: CE 4348 or CS 4348 or SE 4348 or TE 4348 or equivalent. (3-0) Y

CS 4394 Implementation of Modern Operating Systems (3 semester credit hours) This course 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. Prerequisites: (CE 4348 or CS 4348 or SE 4348 or TE 4348) and CS 3335, or equivalent programming experience. (3-0) R

CS 4395 Human Language Technologies (3 semester credit hours) Introduction to 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) and (CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent). (3-0) Y

CS 4396 Networking Laboratory (3 semester credit hours) This course 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 or Corequisite: CS 4390 or equivalent. (3-0) Y

CS 4397 Embedded Computer Systems (3 semester credit hours) Introduction to 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 TE 4348 or equivalent. (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 or TE 4348) and (CE 4390 or CS 4390 or TE 4390) or equivalent. (3-0) Y

CS 4399 Senior Honors in Computer Science (3 semester credit hours) For students conducting independent research for honors theses or projects. Topics may vary. Instructor consent required. (3-0) R

CS 4485 Computer Science Project (4 semester credit hours) This course is intended to complement theory and to provide an in-depth, hands-on experience in all aspects of a software development project. Students will work in teams on projects of interest to industry and will be involved in specifying the problem and its solution, designing and analyzing the solution, developing the software architecture, along with implementation and testing plans. The deliverables will include reports that document these steps as well as a final project report, including the challenges they faced, and a user manual of the developed system. Students will explore security issues of their project and its potential impact on society. Teams will also make presentations as well as demonstrate their software. Additionally, this course will cover topics related to computer science profession including ethics and professional responsibility, entrepreneurship, leadership, and project management. Prerequisites: (CE 3345 or CS 3345 or SE 3345 or TE 3345), and (CE 3354 or CS 3354 or SE 3354 or equivalent), and at least three CS 43XX classes. (4-0) S

CS 4V95 Undergraduate Topics in Computer Science (1-9 semester credit hours) Subject matter will vary from semester to semester. May be used as CS Guided Elective on CS degree plans. May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

CS 4V98 Undergraduate Research in Computer Science (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). Instructor consent required. ([1-9]-0) R

Engineering and Computer Science

ECS 1200 Introduction to Engineering and Computer Science (2 semester credit hours) Introduction to the engineering and computing professions; overview of 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. Introduction to professional ethics, Engineering design and quantitative methods; team projects designed to replicate decision processes in real-world situations; additional preparatory topics for the student's ECS major. (2-0) Y

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) and PHYS 2326 or instructor consent required. (Same as NANO 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. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419) and PHYS 2326 or instructor consent required. (Same as NANO 3310) (3-0) Y

ECS 3361 Social Issues and Ethics in Computer Science and Engineering (3 semester credit hours) This course exposes students to major theoretical approaches and modes of reasoning about ethics while exploring a range of important professional and ethical issues in computing and engineering, and the interrelationship between the computing and engineering professions and important elements of social systems. 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 engineering and computing case studies. Prerequisite: Junior Level Standing. (3-0) Y

ECS 3390 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 and junior standing. (3-0) S

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. 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. Instructor consent required. (1-0) Y

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 may vary (6 semester credit hours maximum). Prerequisites or Corequisites: ECS 3390 and instructor consent required. (3-0) T

Electrical Engineering

EE 1202 Introduction to Electrical Engineering (2 semester credit hours) EE 1202 introduces the discipline of engineering. It includes a 1.5-hour lecture per week plus a 3-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, engineering research at UT Dallas, engineering activities at selected local companies, and concepts such as innovation and invention. The course also includes lectures and projects on communication, understanding the importance of lifelong learning, ethics, and a knowledge of contemporary issues. EE 1202 may be taken by students outside of engineering in order to learn about the engineering profession. This course will retain core notation for a transition period - see http://go.utdallas.edu/core-curriculum-transition. Please consult advisors for more detailed information. (Same as CE 1202 and TE 1202) (1.5-3) S

EE 2310 Introduction to Digital Systems (3 semester credit hours) Introduction to digital circuits, hardware structures, and assembly-language concepts that underlie the design of modern computer systems. Topics include: Internal data representation and arithmetic operations in a computer, basic logic circuits, MIPS assembly language and an overview of computer architecture. Some knowledge of a high-level language such as C++ or Java is expected. This class also has a laboratory component. Exercises will be assigned in class for completion in the laboratory. This class may be offered as either regular or honors sections (H). (Same as CE 2310) (3-1) S

EE 2V99 Topics in Electrical Engineering (1-4 semester credit hours) May be repeated as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-4]-0) R

EE 3101 Electrical Network Analysis Laboratory (1 semester credit hour) Laboratory to accompany EE 3301. Design, assembly and testing of linear electrical networks and systems. Use of computers to control electrical equipment and acquire data. Prerequisites: (CE 1202 or EE 1202 or TE 1202) and RHET 1302. Corequisite: EE 3301. (Same as CE 3101 and TE 3101) (0-1) S

EE 3102 Signals and Systems Laboratory (1 semester credit hour) Laboratory based on MATLAB and LabVIEW to provide implementation experience on topics covered in EE 3302. Laboratory experiments cover linear time-invariant systems, convolution, Fourier series, continuous Fourier transform, sampling, discrete Fourier transform, analog and digital filtering. Each lab is followed by a design application. Corequisite: EE 3302. Prerequisite: RHET 1302. (Same as CE 3102 and TE 3102) (0-1) S

EE 3110 Electronic Devices Laboratory (1 semester credit hour) Laboratory to accompany EE 3310. Experimental determination and illustration of properties of carriers in semiconductors including carrier drift, carrier diffusion; p-n junctions including forward and reverse bias effects and transient effects; bipolar transistors including the Ebers-Moll model and secondary effects; field effect transistors including biasing effects, MOS capacitance and threshold voltage. Corequisite: CE 3310 or EE 3310. Prerequisite: RHET 1302. (Same as CE 3110) (0-1) S

EE 3111 Electronic Circuits Laboratory (1 semester credit hour) Laboratory to accompany EE 3311. Design, assembly and testing of electronic circuits that use diodes, transistors and operational amplifiers in configurations typically encountered in practical applications. Corequisite: CE 3311 or EE 3311. Prerequisite: RHET 1302. (Same as CE 3111) (0-1) S

EE 3120 Digital Circuits Laboratory (1 semester credit hour) Laboratory to accompany EE 3320. Design, assembly, and testing of logic circuits. Use of programmable logic devices and simple CAD tools. Corequisite: CE 3320 or EE 3320. Prerequisite: RHET 1302. (Same as CE 3120) (0-1) S

EE 3150 Communications Systems Laboratory (1 semester credit hour) Laboratory to accompany EE 3350. Fundamental elements of communications systems hardware; use of spectrum analyzers and other measurement instruments typically encountered in communication systems; design of active filters in communications systems; analog frequency and amplitude modulators and demodulators; data communication systems. Corequisite: EE 3350. Prerequisite: (CE 3301 or EE 3301 or TE 3301) and RHET 1302. (Same as TE 3150) (0-1) S

EE 3301 Electrical Network Analysis (3 semester credit hours) Analysis and design of RC, RL, and RLC electrical networks. Sinusoidal steady state analysis of passive networks using phasor representation; mesh and nodal analyses. Introduction to the concept of impulse response and frequency analysis using the Laplace transform. Prerequisites: MATH 2420 and PHYS 2326. Corequisite: EE 3101. (Same as CE 3301 and TE 3301) (3-0) S

EE 3302 Signals and Systems (3 semester credit hours) Introduces 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. Prerequisite: ENGR 3300. Corequisite: EE 3102. (Same as CE 3302 and TE 3302) (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. Prerequisite: CE 3301 or EE 3301 or TE 3301. Corequisite: CE 3110 or EE 3110. (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 3310 or EE 3310. Corequisite: CE 3111 or EE 3111. (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. Corequisite: EE 3120. (Same as CE 3320) (3-0) S

EE 3350 Communications Systems (3 semester credit hours) Fundamentals of communications systems. Review of probability theory and Fourier transforms. Filtering and noise. Modulation and demodulation techniques, including amplitude, phase, and pulse code. Time division multiplexing. This class may be offered as either regular or honors sections (H). Prerequisites: ENGR 3300 and (CE 3301 or EE 3301 or TE 3301) and (CE 3302 or EE 3302 or TE 3302) and ENGR 3341. Corequisite: EE 3150 or TE 3150. (Same as TE 3350) (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. Prerequisite or Corequisite: EE 4368. (0-1) Y

EE 4301 Electromagnetic Engineering I (3 semester credit hours) Introduction to the general characteristics of wave propagation. Physical interpretation of Maxwell's equations. Propagation of plane electromagnetic waves and energy. Transmission lines. Antenna fundamentals. Prerequisites: PHYS 2326 and ENGR 3300 and (CE 3301 or EE 3301 or TE 3301). (3-0) S

EE 4302 Electromagnetic Engineering II (3 semester credit hours) Continuation of the study of electromagnetic wave propagation. Metallic and dielectrically guided waves including microwave waveguides and optical fibers. Dipole antennas and arrays. Radiating and receiving systems, plasmas. Propagation of electromagnetic waves in materials and material properties. This course may be used as an honors course. Prerequisite: EE 4301. (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 3340 or SE 3340 or TE 3340) 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 (CE 3302 or EE 3302 or TE 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) T

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) T

EE 4341 Digital Integrated Circuit Analysis and Design (3 semester credit hours) Digital integrated circuits. Large signal model for bipolar and MOS transistors. MOS inverters and gates. Propagation delay and noise margin. Dynamic logic concepts. Bipolar transistor inverters and gates, regenerative logic circuits, memories. Prerequisites: (CE 3311 or EE 3311), and (CE 3320 or EE 3320). (3-0) T

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. Prerequisites: (ENGR 2300 and EE 3302) and (EE 4310 or MECH 4310) or equivalent. (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. Prerequisite: EE 3350 or TE 3350. (Same as TE 4360) (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: CE 3302 or EE 3302 or TE 3302. (Same as TE 4361) (3-0) T

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. Prerequisite: EE 3350 or TE 3350. (Same as TE 4365) (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 3350 or TE 3350. (Same as TE 4367) (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. Prerequisites: (CE 3310 or EE 3310) and EE 4301. (3-0) Y

EE 4370 Embedded Microprocessor Systems (3 semester credit hours) An introduction to microprocessors and their uses. Features commonly found in a CPU are discussed, such as: The Program Counter, Stack, Status Register, General Purpose Registers, ALU, Instruction Set and peripheral devices. Memory (SRAM, DRAM, EPROM, EEPROM) and Memory Mapped IO Peripheral Devices. Assembly language is used to create the binary machine code necessary to program a Microprocessor system. The special features of microprocessors: the stack, interrupts, input ports, out ports, and display. Prerequisites: (CE 3311 or EE 3311) and (CE 3320 or EE 3320). Corequisite: CE 4304 or EE 4304. (Same as CE 4370) (3-1) 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, 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 3390 and one of the following prerequisite sequences: ((CE 3311 or EE 3311), and (CE 3320 or EE 3320), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and (CE 3354 or CS 3354 or SE 3354)), or [((ENGR 3300 and (CE 3302 or EE 3302 or TE 3302), and (CE 3311 or EE 3311), and (CE 3320 or EE 3320)), or ((ENGR 3300 and (CE 3302 or EE 3302 or TE 3302), and (CE 3345 or CS 3345 or SE 3345 or TE 3345)); prerequisite or corequisite: EE 3350 or TE 3350.] (Same as CE 4388 and TE 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 or TE 4388. (Same as CE 4389 and TE 4389) (3-0) S

EE 4390 Computer Networks (3 semester credit hours) An introduction to packet-based computer and data communication networks, including the OSI model, Internet, TCP/IP, ATM, Ethernet, Frame Relay, and Local Area Networks. Enterprise network design procedures are introduced in conjunction with IP routing, VPN, MPLS and VOIP. Credit cannot be received for both courses, (CE 4390 or CS 4390 or TE 4390) and EE 4390. Prerequisite or Corequisite: EE 3350 or TE 3350. (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 NANO 4391) (3-0) Y

EE 4392 Introduction to Optical Systems (3 semester credit hours) Operating principles of optical communications systems and fiber optic communication technology. Lightwave fundamentals, characteristics of integrated optic waveguides and optical fibers, attenuation and dispersion, operating principles of optical sources, detectors and optical amplifiers, optical transmitters and receivers, modulation techniques, effect of noise in optical systems, system design fundamentals, network topologies. Prerequisites: (CE 3302 or EE 3302 or TE 3302), and EE 4301 and (CE 3310 or EE 3310). (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. 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). Instructor consent required. ([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). 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). 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. Credit cannot be received for both courses, ENGR 2300 and MATH 2418. Prerequisite or Corequisite: MATH 2414 or MATH 2419. (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 review of complex numbers, multivariate calculus and analytic geometry. Study of polar, cylindrical, and spherical coordinates, vector differential calculus, vector integral calculus, and vector integral theorems. Examples are provided from electromagnetic, fluid mechanics, physics and geometry. Prerequisite: MATH 2415 or MATH 2419. (3-0) 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

ENGR 4334 Numerical Methods in Engineering (3 semester credit hours) Computer arithmetic and error analysis. Solution of linear equations, roots of polynomial equations, interpolation and approximation, numerical differentiation and integration, solution of ordinary differential equations. Emphasis on engineering applications and numerical software. Credit cannot be received for both courses, (CS 4334 or MATH 4334) and ENGR 4334. Prerequisites: ENGR 2300 and ENGR 3300 and knowledge of a high level programming language. (3-0) Y

ENGR 4343 Engineering Economy (3 semester credit hours) The objective of this course is to introduce undergraduate students to economic evaluation and analysis of engineering projects and proposals. Economic tools are essential for planning and design of engineering systems in today's ever-changing high-tech world. This course will also prepare the electrical engineering students for the "Engineering Economy" portion of the Fundamentals of Engineering Exam required for the professional engineer's license. Prerequisites: MATH 2413 or MATH 2417 and upper-division standing. (3-0) T

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. 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 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 competitions, and lectures by mechanical engineering experts. Prerequisite: ECS 1200. Prerequisites or Corequisites: (PHYS 2325 and PHYS 2125) and (MATH 2419 or MATH 2414). (1-1) Y

MECH 1V95 Topics in Mechanical Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

MECH 2120 Mechanical Measurements Laboratory (1 semester credit hour) Laboratory course. The laboratory introduces mechanical measurement techniques and processes. Introduction to basic instrumentation used in mechanical engineering, including calibration, use, precision, and accuracy. Consideration of errors, precision, and accuracy in experimental measurements. Corequisite: MECH 2320. (0-1) Y

MECH 2310 (ENGR 2301) 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: MECH 1208 and (PHYS 2325 and PHYS 2125). Prerequisite or Corequisite: MATH 2415 or MATH 2419. (3-0) Y

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

MECH 2330 (ENGR 2302) Dynamics (3 semester credit hours) Lecture course. 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. Single degree of freedom vibration systems and simulation tools are introduced. Prerequisites: MECH 2310. Prerequisite or Corequisite: ENGR 2300 and MATH 2420. (3-0) Y

MECH 2V95 Topics in Mechanical Engineering (1-9 semester credit hours) Subject matter will vary from semester to semester. May be repeated as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

MECH 3105 Computer Aided Design Laboratory (1 semester credit hour) Project-based course associated with MECH 3305. Design projects involving CAD tools constitute a major portion of the course. Corequisite: MECH 3305. (0-1) Y

MECH 3115 Fluid Mechanics Laboratory (1 semester credit hour) Laboratory course associated with MECH 3315. Wind tunnel calibration and survey, wind tunnel turbulence tests, boundary layer on a flat plate, static stability, design and conduct experiments. Prerequisite: MECH 3315; it is recommended that the laboratory is taken the next long semester after completion of MECH 3315. (0-1) Y

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. Prerequisite: MECH 3320; it is recommended that the laboratory is taken the next long semester after completion of MECH 3320. (0-1) Y

MECH 3150 Kinematics and Dynamics Laboratory (1 semester credit hour) Project-based course associated with MECH 3350. Laboratory course focused on performing a team design project of a mechanical system. Prerequisite: MECH 3350; it is recommended that the laboratory is taken the next long semester after completion of MECH 3350. (0-1) Y

MECH 3305 Computer Aided Design (3 semester credit hours) Lecture course. Course material includes an introduction to Computer-Aided Mechanical Design (CAMD) tools and their applications to mechanical systems design. Topics include sketching, 3D modeling, parametric curve and surface modeling, assembly modeling and engineering drawings. Prerequisites: MECH 1208 and ENGR 2300. Prerequisite or Corequisite: CS 1325 or (CE 1337 or CS 1337 or TE 1337). Corequisite: MECH 3105. (3-0) Y

MECH 3310 Thermodynamics (3 semester credit hours) Lecture course. This course focuses on introductory concepts and definitions of thermodynamics, energy and the availability and reversible work, machine, and cycle processes; real gas behavior; first law of thermodynamics, phase-change, internal energy, energy balance, entropy, ideal gas, control volume analysis, second law of thermodynamics, vapor, gas and refrigeration power systems. Prerequisites: MECH 1208 and ENGR 3300 and PHYS 2325. Prerequisite or Corequisite: CHEM 1311. (3-0) Y

MECH 3315 Fluid Mechanics (3 semester credit hours) Lecture course. Course material includes the concepts and applications of fluid mechanics and dimensional analysis with an emphasis on fluid behavior, internal and external flows, analysis of engineering applications of incompressible pipe systems, and external aerodynamics, ideal fluid flow including potential flow theory, and computer solutions in ideal fluid flow. Prerequisites: MECH 2330 and ENGR 3300. Prerequisite or Corequisite: MECH 3310. (3-0) Y

MECH 3320 Heat Transfer (3 semester credit hours) Lecture course. This course 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) Y

MECH 3350 Kinematics and Dynamics of Mechanical Systems (3 semester credit hours) Lecture course. 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 ENGR 3300. (3-0) Y

MECH 3351 Design of Mechanical Systems (3 semester credit hours) Lecture course. 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 ENGR 3300. Prerequisite or Corequisite: MECH 3350. (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 as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) 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. Prerequisite: MECH 4310; it is recommended that the laboratory is taken the next long semester after completion of MECH 4310. (0-1) Y

MECH 4301 Intermediate Mechanics of Materials (3 semester credit hours) Course material includes principal stresses; constitutive relations, thermal strains; stress concentration, brittle and ductile failure; fracture and fatigue; two-dimensional linear elasticity; beams on elastic foundation; energy concepts, unit load method, Castigliano's theorems; St. Venant torsion theory, Prandtl method, thin-walled sections; unsymmetrical beams, shear center; curved beams; plates, uniform and axi-symmetrical bending; column buckling. Prerequisites: MECH 2320 and ENGR 3300. (3-0) Y

MECH 4310 Systems and Controls (3 semester credit hours) Lecture course. Introduction to 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. Prerequisites: ENGR 2300 and MATH 2420 and MECH 2330. Prerequisite or Corequisite: MECH 3315. (3-0) Y

MECH 4320 Applications of Computational Tools in Thermal Fluid Science (3 semester credit hours) Introduction to the methods used to simulate fluid flow and heat transfer, with an emphasis on the selection and use of commercial computational tools. This course covers basic numerical analysis and the application of these techniques to the solution of the relevant governing 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) Lecture course. 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 turbines 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) Lecture course. This course 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 4350 Applied Heat Transfer (3 semester credit hours) Lecture course. This course extends topics beyond those found in the first course in heat transfer (MECH 3320), with emphasis on current heat transfer applications that involve multiple modes, transient analysis, phase change and accompanied mass transfer. The applications may include heat exchanger design and analysis, heat and mass transfer in building HVAC, renewable energy systems, thermal management, among others. Prerequisite: MECH 3320. (3-0) Y

MECH 4360 Introduction to Nanostructured Materials (3 semester credit hours) Lecture course. The emphasis in this course is to introduce 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 4370 Introduction to MEMS (3 semester credit hours) Lecture course. This course will target an audience of motivated senior-level undergraduates, with the goal of providing an introduction to M/NEMS fabrication techniques, selected device applications, and the design tradeoffs in developing systems. Prerequisites: CHEM 1311 and MECH 3310 and MECH 3350. (3-0) Y

MECH 4381 Senior Design Project I (3 semester credit hours) Project-based capstone course. Student 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, MECH 4382 on prototype construction and testing. As designated MECH Writing-Intensive Courses, MECH 4381 and MECH 4382 also focus on the refinement of students' engineering communications skills and their use of writing as a critical-thinking and learning tool. Prerequisites: MECH 3305 and MECH 3320 and MECH 3351 and MECH 4310 and ECS 3390. (3-0) Y

MECH 4382 Senior Design Project II (3 semester credit hours) Project-based capstone course. Student 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, MECH 4382 on prototype construction and testing. As designated MECH Writing-Intensive Courses, MECH 4381 and MECH 4382 also focus on the refinement of students' engineering communications skills and their use of writing as a critical-thinking and learning tool. Prerequisite: MECH 4381. (3-0) Y

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 as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-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

Nanoscience

NANO 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) and PHYS 2326 or instructor consent required. (Same as ECS 3301) (3-0) Y

NANO 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) and PHYS 2326 or instructor consent required. (3-0) Y

NANO 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. Prerequisites: CHEM 1311 and (MATH 2415 or MATH 2419) and PHYS 2326 or instructor consent required. (Same as ECS 3310) (3-0) Y

NANO 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) Y

NANO 4V95 Undergraduate Research in Nanotechnology (1-9 semester credit hours) Provides students with experience in a laboratory setting. A total of at most 6 semester credit hours can be counted towards the minor. Hands-on opportunity to interact with professors and companies in the field. May be repeated (9 semester credit hours maximum). Prerequisites or Corequisites: NANO 3301 and NANO 3302 and instructor consent required. ([1-9]-0) S

Software Engineering

SE 2V95 Individual Instruction in Software Engineering (1-6 semester credit hours) Individual study under a faculty member's direction. May be repeated for credit as topics vary (6 semester credit hours maximum). Instructor consent required. ([1-6]-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 or Corequisites: CS 3345 and CS 3354 and ECS 3361. (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. Introduction to 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. Prerequisite: (CE 2305 or CS 2305 or TE 2305) with a grade of C or better or equivalent. (3-0) S

SE 3340 Computer Architecture (3 semester credit hours) This course introduces the concepts of computer architecture by going through multiple levels of abstraction, and the numbering systems and their basic computations. It 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 3340 or SE 3340 or TE 3340) and (CE 4304 or EE 4304). Prerequisites: (CE 1337 or CS 1337 or TE 1337 with a grade of C or better or equivalent) and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better). (Same as CS 3340 and TE 3340) (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 and Monte Carlo methods. Central limit theorem. Basic statistical inference, parameter estimation, hypothesis testing, and linear regression. Introduction to 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), and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better). (Same as CS 3341 and STAT 3341) (3-0) S

SE 3345 Data Structures and Introduction to 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 TE 2305 with a grade of C or better) and (CE 2336 or CS 2336 or TE 2336 with a grade of C or better). Prerequisite or Corequisite: (CS 3341 or SE 3341 or ENGR 3341). (Same as CE 3345 and CS 3345 and TE 3345) (3-0) S

SE 3354 Software Engineering (3 semester credit hours) Introduction to 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 2336 or CS 2336 or TE 2336 with a grade of C or better or CS 3333) and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better or equivalent). Prerequisite or Corequisite: ECS 3390. (Same as CE 3354 and CS 3354) (3-0) S

SE 3376 C/C++ Programming in a UNIX Environment (3 semester credit hours) Advanced programming techniques utilizing procedural and object oriented programming in a UNIX environment. Topics include file input and output, implementation of strings, stacks, queues, lists, and trees, and dynamic memory allocation/management. Design and implementation of a comprehensive programming project is required. Prerequisite: (CE 2336 or CS 2336 or TE 2336) with a grade of C or better or equivalent. (Same as CS 3376) (3-0) S

SE 3V95 Undergraduate Topics in Software Engineering (1-9 semester credit hours) May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) S

SE 4347 Database Systems (3 semester credit hours) This course 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 or TE 3345. (Same as CS 4347) (3-0) Y

SE 4348 Operating Systems Concepts (3 semester credit hours) An introduction to 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 an introduction to critical sections and deadlocks. Prerequisites: (CS 3340 or SE 3340 or TE 3340 or equivalent), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and a working knowledge of C and UNIX. (Same as CE 4348 and CS 4348 and TE 4348) (3-0) S

SE 4351 Requirements Engineering (3 semester credit hours) Introduction to 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 and (CE 3354 or CS 3354 or SE 3354) or instructor consent required. (3-0) S

SE 4352 Software Architecture and Design (3 semester credit hours) Introduction to 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 and (CE 3354 or CS 3354 or SE 3354) or instructor consent required. (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 and (CE 3354 or CS 3354 or SE 3354) or instructor consent required. (3-0) S

SE 4376 Object-Oriented Programming Systems (3 semester credit hours) In-depth study of the features/advantages of 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. Prerequisite: (CE 2336 or CS 2336 or TE 2336) with a grade of C or better or equivalent. (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. (3-0) Y

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

SE 4485 Software Engineering Project (4 semester credit hours) This course is 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. Prerequisites: At least two of the following: SE 4351 or SE 4352 or SE 4367 or SE 4381 and instructor consent required. (4-1) S

SE 4V95 Undergraduate Topics in Software Engineering (1-9 semester credit hours) May be used as SE Guided Elective on SE degree plans. May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

SE 4V98 Undergraduate Research in Software Engineering (1-9 semester credit hours) May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

Telecommunications Engineering

TE 1202 Introduction to Electrical Engineering (2 semester credit hours) TE 1202 introduces the discipline of engineering. It includes a 1.5-hour lecture per week plus a 3-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, engineering research at UT Dallas, engineering activities at selected local companies, and concepts such as innovation and invention. The course also includes lectures and projects on communication, understanding the importance of lifelong learning, ethics, and a knowledge of contemporary issues. TE 1202 may be taken by students outside of engineering in order to learn about the engineering profession. This course will retain core notation for a transition period - see http://go.utdallas.edu/core-curriculum-transition. Please consult advisors for more detailed information. (Same as CE 1202 and EE 1202) (1.5-3) S

TE 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++. Prerequisite: CS 1336 with a grade of C or better or equivalent. (Same as CE 1337 and CS 1337) (3-0) S

TE 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: Score of at least 75% in ALEKS or MATH 2312 with a grade of C or better. (Same as CE 2305 and CS 2305) (3-0) S

TE 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. Prerequisite: CE 1337 or CS 1337 or TE 1337 with a grade of C or better. Prerequisite or Corequisite: CE 2305 or CS 2305 or TE 2305 with a grade of C or better. (Same as CE 2336 and CS 2336) (3-0) S

TE 3101 Electrical Network Analysis Laboratory (1 semester credit hour) Laboratory to accompany TE 3301. Design, assembly and testing of linear electrical networks and systems. Use of computers to control electrical equipment and acquire data. Prerequisites: (CE 1202 or EE 1202 or TE 1202) and RHET 1302. Corequisite: TE 3301. (Same as CE 3101 and EE 3101) (0-1) S

TE 3102 Signals and Systems Laboratory (1 semester credit hour) Laboratory based on MATLAB and LabVIEW to provide implementation experience on topics covered in TE 3302. Laboratory experiments cover linear time-invariant systems, convolution, Fourier series, continuous Fourier transform, sampling, discrete Fourier transform, analog and digital filtering. Each lab is followed by a design application. Corequisite: TE 3302. Prerequisite: RHET 1302. (Same as CE 3102 and EE 3102) (0-1) S

TE 3150 Communications Systems Laboratory (1 semester credit hour) Laboratory to accompany TE 3350. Fundamental elements of communications systems hardware; use of spectrum analyzers and other measurement instruments typically encountered in communication systems; design of active filters in communications systems; analog frequency and amplitude modulators and demodulators; data communication systems. Corequisite: TE 3350. Prerequisite: (CE 3301 or EE 3301 or TE 3301) and RHET 1302. (Same as EE 3150) (0-1) S

TE 3301 Electrical Network Analysis (3 semester credit hours) Analysis and design of RC, RL, and RLC electrical networks. Sinusoidal steady state analysis of passive networks using phasor representation; mesh and nodal analyses. Introduction to the concept of impulse response and frequency analysis using the Laplace transform. Prerequisites: MATH 2420 and PHYS 2326. Corequisite: TE 3101. (Same as CE 3301 and EE 3301) (3-0) S

TE 3302 Signals and Systems (3 semester credit hours) Introduces 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. Prerequisite: ENGR 3300. Corequisite: TE 3102. (Same as CE 3302 and EE 3302) (3-0) S

TE 3340 Computer Architecture (3 semester credit hours) This course introduces the concepts of computer architecture by going through multiple levels of abstraction, and the numbering systems and their basic computations. It 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 3340 or SE 3340 or TE 3340) and (CE 4304 or EE 4304). Prerequisites: (CE 1337 or CS 1337 or TE 1337 with a grade of C or better or equivalent) and (CE 2305 or CS 2305 or TE 2305 with a grade of C or better). (Same as CS 3340 and SE 3340) (3-0) S

TE 3345 Data Structures and Introduction to 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 TE 2305 with a grade of C or better) and (CE 2336 or CS 2336 or TE 2336 with a grade of C or better). Prerequisite or Corequisite: (CS 3341 or SE 3341 or ENGR 3341). (Same as CE 3345 and CS 3345 and SE 3345) (3-0) S

TE 3350 Communications Systems (3 semester credit hours) Fundamentals of communications systems. Review of probability theory and Fourier transforms. Filtering and noise. Modulation and demodulation techniques, including amplitude, phase, and pulse code. Time division multiplexing. This class may be offered as either regular or honors sections (H). Prerequisites: ENGR 3300 and (CE 3301 or EE 3301 or TE 3301) and (CE 3302 or EE 3302 or TE 3302) and ENGR 3341. Corequisite: EE 3150 or TE 3150. (Same as EE 3350) (3-0) S

TE 4141 Digital Systems Laboratory (1 semester credit hour) Laboratory to accompany TE 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. Corequisite: CS 4341 or TE 4341. (Same as CS 4141) (0-2) S

TE 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 or TE 4341) and (CE 3320 or EE 3320). Prerequisites: (CE 2310 or EE 2310) or (CS 3340 or SE 3340 or TE 3340) and PHYS 2326. Corequisite: (CS 4141 or TE 4141). (Same as CS 4341) (3-0) S

TE 4348 Operating Systems Concepts (3 semester credit hours) An introduction to 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 an introduction to critical sections and deadlocks. Prerequisites: (CS 3340 or SE 3340 or TE 3340 or equivalent), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and a working knowledge of C and UNIX. (Same as CE 4348 and CS 4348 and SE 4348) (3-0) S

TE 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. Prerequisite: EE 3350 or TE 3350. (Same as EE 4360) (3-0) T

TE 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: CE 3302 or EE 3302 or TE 3302. (Same as EE 4361) (3-0) T

TE 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. Prerequisite: EE 3350 or TE 3350. (Same as EE 4365) (3-0) Y

TE 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 3350 or TE 3350. (Same as EE 4367) (3-0) Y

TE 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, 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 3390 and one of the following prerequisite sequences: ((CE 3311 or EE 3311), and (CE 3320 or EE 3320), and (CE 3345 or CS 3345 or SE 3345 or TE 3345), and (CE 3354 or CS 3354 or SE 3354)), or [((ENGR 3300 and (CE 3302 or EE 3302 or TE 3302), and (CE 3311 or EE 3311), and (CE 3320 or EE 3320)), or ((ENGR 3300 and (CE 3302 or EE 3302 or TE 3302), and (CE 3345 or CS 3345 or SE 3345 or TE 3345)); prerequisite or corequisite: EE 3350 or TE 3350.] (Same as CE 4388 and EE 4388) (3-0) S

TE 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 or TE 4388. (Same as CE 4389 and EE 4389) (3-0) S

TE 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 or TE 4390) and EE 4390. Prerequisite: CE 3345 or CS 3345 or SE 3345 or TE 3345 or equivalent. (Same as CE 4390 and CS 4390) (3-0) S

TE 4V95 Undergraduate Topics in Telecommunications Engineering (1-9 semester credit hours) May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. ([1-9]-0) R

TE 4V98 Undergraduate Research in Telecommunications 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). Instructor consent required. ([1-9]-0) R

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