Core Courses

• Bioinformatics I:  Biological Data & Analysis Tools
  Pharmacology (Pharm 201)
  Course description:  Presentation of types of biological data, organization of data and use of analysis tools. Extensive use of web-based bioinformatics environments for investigation and analysis of biological data.
  
  
• Bioinformatics II: Sequence and Structure Analysis - Methods and Applications
  Bioengineering (BENG 202/CSE 257A)
  Course Description:  Introduction to methods for sequence analysis.  Applications to genome and proteome sequences.  Protein Structure, sequence-structure analysis.
  
  
• Bioinformatics III: Functional Genomics
  Bioengineering (BENG 203)
  Course description:  Annotating genomes, characterizing functional genes, profiling, reconstructing pathways.
  
  
• Bioinformatics IV: Statistical Methods for Bioinformatics
  Mathematics (Math 283)
  Course description: This course will cover material related to the analysis of modern genomic data; sequence analysis, gene expression/functional genomics analysis, and gene mapping/applied population genetics.  This course will focus on statistical modeling and inference issues and not on database mining techniques.

Program Electives
(Each student will select from 5 of the 8 elective fields below. 1 must be from Biology field and 1 from Computer Science field. For each elective, multiple course options currently available are listed).