See Also BISB -2008
Applies to students admitted AY 2007-8 and earlier.
(Each student must take the four courses below.)
Pharmacology (PHAR 201)
Bioinformatics is driven by the need to understand complex biological systems for which data are accumulating at exponential or near exponential rates. Such an understanding relies of the effective representation of these data and the ability to analyze these data. This is a broad topic and we focus on macromolecular structure data, which is suitably complex, to introduce the principles of formal data representation, reductionism, comparison, classification, visualization and biological inference. As such the course also serves as an introduction to Structural Bioinformatics. For details of what is covered in the course and more, refer to Structural Bioinformatics, 2nd Edition (2009), Editors Jenny Gu and Philip E. Bourne, Wiley & Sons.
Bioengineering (BENG 202/CSE 282)
(Formerly BENG 202/CSE 257A.) Introduction to methods for sequence analysis. Applications to genome and proteome sequences. Protein structure, sequence-structure analysis.
Bioengineering (BENG 203/CSE 283)
Annotating genomes, characterizing functional genes, profiling, reconstructing pathways.
Mathematics (MATH 283)
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. The course will focus on statistical modeling and inference issues and not on database mining techniques.
(Each student will select from 5 of the 8 elective fields below. One must be from the Biology field and one from the Computer Science field. For each elective, multiple course options currently available are listed).