Systems Analysis Courses

Systems Analysis students must complete a total of 90 credits with a minimum of 35 credits of coursework [17 credits of coursework in the first year]. Of the 35 credits of coursework, at least 28 credits must be earned in graduate level quantitative/computational courses. Graduate level courses approved by the other specializations in the Complex Biosystems PhD will count towards the remaining credits. Other courses will count with permission of the student’s Supervisory Committee

The following quantitative courses will count toward the 28 credits of quantitative/computational coursework:

Bioinformatics

BIOS 827 PRACTICAL BIOINFORMATICS LABORATORY

BIOS 877 BIOINFORMATICS AND MOLECULAR EVOLUTION

BIOS 829 PHYLOGENETIC BIOLOGY

BIOS 942 GENETICS, GENOMICS, AND BIOINFORMATICS OF PROKARYOTES

BIOC/STAT 842 COMPUTATIONAL BIOLOGY

CSCE 971 ADVANCED BIOINFORMATICS

ECEN 850 BIOINFORMATICS

MATH 839 MATHEMATICAL MODELS IN BIOLOGY

BIOS/NRES 856 MATHEMATICAL MODELS IN BIOLOGY

 

Systems Biology

ASCI 896 GENOMICS AND SYS BIO

BIOS 826 SYSTEMS BIOLOGY

CHME 896 ADVANCED TOPICS IN CHEMICAL ENGINEERING COMPUTATION

STAT 843 NEXT-GENERATION SEQUENCING AND SYSTEMS BIOLOGY

 

Quantitative Genetics, Genomics, Biotech, Phylogenetics

AGRO/ASCI 931 POPULATION GENETICS

AGRO 932/STAT847 BIOMETRICAL GENETICS AND PLANT BREEDING

AGRO 919 PLANT GENETICS

ASCI 932 QUANTITATIVE ANIMAL GENETICS I

ASCI 933 QUANTITATIVE ANIMAL GENETICS II

ASCI 860 QUANTITATIVE GENETICS APPLICATIONS OF MATRIX ALGEBRA

BIOS 818 ADVANCED GENETICS

BIOS 825 PLANT BIOTECHNOLOGY

BIOS 829 PHYLOGENETIC BIOLOGY

BIOS 924 MOLECULAR PHYLOGENETICS

BIOS 952 LIKELIHOOD & BAYESIAN ECOLOGY

BIOS 958 GENETIC ECOLOGY

BIOS/VBMS 964 SIGNAL TRANSDUCTION

 

Statistics and Computation

BIOS 828 PERL PROGRAMMING FOR BIOLOGICAL APPLICATIONS

CSCE 811 DATA MODELING FOR SYSTEMS DEVELOPMENT

CSCE 823 DESIGN AND ANALYSIS OF ALGORITHMS

CSCE 874 INTRODUCTION TO DATA MINING

CSCE 876 INTRODUCTION TO ARTIFICIAL INTELLIGENCE

CSCE 878 INTRODUCTION TO MACHINE LEARNING

CSCE 970 PATTERN RECOGNITION

ECEN 848 DECISION ANALYSIS

ECEN 863 DIGITAL SIGNAL PROCESSING

ECEN 915 ADAPTIVE SIGNAL PROCESSING

MATH 889 STOCHASTIC PROCESSES

MATH 938 MATHEMATICAL MODELING

STAT 802 DESIGN AND ANALYSIS OF RESEARCH STUDIES

STAT 803 ECOLOGICAL STATISTICS

STAT 831 SPATIAL STATISTICS

STAT 841 STATISTICAL METHODS FOR HIGH THROUGHPUT BIOLOGICAL DATA

STAT 850 COMPUTING TOOLS FOR STATISTICIANS

STAT 884 APPLIED STOCHASTIC MODELS

STAT 973 THEORY OF MULTIVARIATE ANALYSIS