Biomedical Sciences

BIMS 1101 Introduction to Biomedical Sciences (1 semester credit hour) The course discusses through lectures and case studies the goals, concepts, and challenges encountered in Biomedical Sciences. (1-0) S

BIMS 3335 Informatics and Programming (3 semester credit hours) Topics include an introduction to computer programming using Python and R and their application to data processing, visualization, and simulation, as well as simple analyses of data. May not be used to satisfy degree requirements for Data Science, Engineering, or Computer Science majors. Prerequisites: (MATH 1325 or MATH 2413) and (STAT 1342 or STAT 2332 or STAT 3332). (Same as MATH 3335 and STAT 3335) (3-0) Y

BIMS 3336 Bioinformatics (3 semester credit hours) This course introduces mathematical and computational methods for analyzing and interpreting molecular biology data. The focus will be on biological sequence (DNA, RNA, and protein) analysis and its applications. Topics include working with biological databases, sequence alignment and analysis, molecular phylogeny and evolution, protein structure, and prediction. Prerequisites: (MATH 2414 or MATH 2419) and (STAT 2332 or STAT 3332). (Same as MATH 3336 and STAT 3336 and BIOL 3337) (3-0) Y

BIMS 3337 Elements of Biostatistics and Epidemiology (3 semester credit hours) Topics include linear regression, analysis of categorical data, analysis of variance, power and sample size calculations, survival analysis, and implementation of methods using software tool R. Prerequisites: (MATH 2414 or MATH 2419) and either STAT 3355 or ((STAT 2332 or STAT 3332) and (MATH 3335 or STAT 3335)). (Same as STAT 3337) (3-0) Y

BIMS 3V96 Undergraduate Research in Biomedical Sciences (1-3 semester credit hours) Subject and scope to be determined on an individual basis. May be repeated for credit as topics vary. Instructor consent required. Additional prerequisites may be required. ([1-3]-0) R

BIMS 4338 Biostatistics and Machine Learning Lab (3 semester credit hours) This course is intended to provide hands-on experience in biomedical data analysis. Topics include introduction to common machine learning methods for classification and regression, and their implementation in the R or Python programming language. The course has a research project requirement. The deliverables will include a final project report. Prerequisite: STAT 3337 or BIMS 3337. (Same as STAT 4338) (3-0) Y

BIMS 4380 Advanced Research in Biomedical Sciences (3 semester credit hours) This course aims to show students how to carry out original research and to teach them some practical approaches and techniques used in a research laboratory. Advanced research approaches and techniques will be used to investigate fundamental molecular and cellular processes in eukaryotic cells and organisms. Practical skills that will be taught and applied. Lab fee of $30 required. (1-4) R

BIMS 4V81 Clinical Research Lab (1-3 semester credit hours) Subject and scope to be determined on an individual basis. May be repeated for credit as topics vary (6 credit hours maximum). Additional prerequisites may be required. Instructor consent required. Prerequisite: STAT 3332. (Same as BIOL 4V81) ([1-3]-0) R

BIMS 4V96 Epidemiological Research Lab (1-6 semester credit hours) May be repeated for credit as topics vary 6 semester credit hours maximum). Prerequisites: BIMS 3337 or STAT 3337 and instructor consent required. ([1-6]-0) R