Course Descriptions

Core Group:
  • Genetics
  • Computing
  • Statistics
  • Bioinformatics Tools and Applications
  • Seminar and Responsible Conduct
002:128Fundamental GeneticsNature, function of genetic material: classical, molecular, developmental aspects.4 sh
099:110BiochemistryChemistry, metabolism, molecular biology of living systems.3 sh
002:131EvolutionNature, evidence, analysis, implications, molecular/genetic basis; historical record, phylogeny, speciation, adaptation, investigative methods.4 sh
156:201Fundamentals of Gene ExpressionCovers topics of DNA and RNA structure, nuclear organization, DNA replication, RNA production and processing, small RNAs, RNAi and genetic and epigenetic regulation.1 sh
156:202Fundamentals of Protein RegulationCovers topics of protein structure, purification, analysis, production, post-translation modification and cellular trafficking.1 sh
156:203Fundamentals of Dynamic Cell ProcessesOverview of the following tipics: actin, microtubules, motors, intermediate filaments, cell-cell juntions, G-coupled signaling, wnt-jak/stat signaling, ion channels, cell cycle, and stem cells.1 sh
127:150Genetic Analysis of Biological SystemsGenetic techniques and approaches for analysis of biological processes; comparison of strengths, weaknesses of a variety of experimental systems.3 sh
22C:104Practical Computer ScienceThis first course is an overview of computing principles and fundamental aspects of computer science for the nonspecialist. Topics covered are the history of computing, basic computer architecture and operating system concepts, fundamentals of relational databases, and elementary algorithmic ideas. Introduction to computer programming in Perl, including variables, control structures, file I/O, regular expressions, objects and built-in functions.3 sh
 Fluency in at least one programming language (e.g. Java (55:033)* or C++ (22c:112))*Currently, there is no introductory Java course at the graduate level. If one is not developed and students use 55:033 to satisfy the language requirement, it will be considered remedial and will not be accepted for graduate credit. 
22S:101BiostatisticsStatistical methods primarily for research in health sciences and related fields; descriptive statistics, estimation, test of hypotheses.3 sh
127:170Introduction to Bioinformatics (Bioinformatics I)
(same as 2:170; 55:121)
Overview of bioinformatics and genome science including genome projects, functional genomics, phylogenetics, proteomics, microarrays, DNA polymorphisms and data mining algorithms. Basics of genetics and molecular biology will be presented at the outset to allow students of all disciplines to participate. Experimental methods and analytical approaches will be discussed side by side. Two lecture hours plus 2 workshop hours weekly. Suitable for upper level undergraduates and graduate students new to the subject.4 sh
051:123Bioinformatics Techniques and Tools (Bioinformatics II)Introduction to the tools and techniques needed to address computational problems in Bioinformatics, Computational Biology and Genomics. Emphasis will be on programming, algorithms, databases and the design and implementation of systems and applications to solve problems in these areas.3 sh
 Statistics of Bioinformatics (Bioinformatics IV)Overview of Statistical methods and applications pertinent to bioinformatics and related fields. Topics covered will include basic probability and statistics theory; algorithms, scoring and statistical significance of pairwise and multiple sequence alignments and databases searching; models and statistical significance in gene finding; protein family prediction; analysis of microarray data.3 sh
127:200Special Topics in GeneticsCurrent research in a selected field of genetics: different topic each year; companion to a genetics seminar series.1 sh
650:270Principles in Scholarly Integrity 1 sh

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