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Bioinformatics and Systems Biology

Course Requirements (-2008)


Applies to students admitted AY 2007-8 and earlier. For current information, see here.

Core Requirements

(Each student must take the four courses below.)


  • Bioinformatics I: Biological Data & Analysis
    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.

  • Bioinformatics II: Sequence and Structure Analysis - Methods and Applications
    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.

  • Bioinformatics III: Functional Genomics
    Bioengineering (BENG 203/CSE 283)
    Annotating genomes, characterizing functional genes, profiling, reconstructing pathways.

  • Bioinformatics IV: Statistical Methods for Bioinformatics
    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.

Program Electives

(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).

Elective 1 - Biochemistry
BENG230ABiochemistry
BIBC100Structural Biochemistry
CHEM114ABiochemical Structure and Function
CHEM213Chemistry of Macromolecules
CHEM218Macromolecular Biochemistry
Elective 2 - Data Structures
CSE100Data Structures
CSE200Computability and Complexity
MATH176Advanced Data Structures
Elective 3 - Algorithms
CSE101Design and Analysis of Algorithms
MATH173Mathematical Software-Scientific Programming
Elective 4 - Information Retrieval, Database & Data Mining
CSE132ADatabase System Principles
CSE133Information Retrieval
CSE254Statistical Learning
Elective 5 - Molecular Genetics
BICD100Genetics
BIMM100Molecular Biology
BIBC116Evolution of Genes and Proteins
BGGN220Graduate Molecular Biology
BGGN223Graduate Genetics
Elective 6 - Cell Biology
BICD110Cellular Biology
BICD130Embryos, Genes, and Development
BIOM210Cellular Biology
BIOM212Cellular and Molecular Pharmacology
BGGN222Graduate Cell Biology
Elective 7 - Physics and Engineering
BENG253Biomedical Transport Phenomena
BENG275Computational Biomechanics
PHYS210AEquilibrium Statistical Mechanics
Elective 8 - Mathematics and Statistics
MATH174Numerical Methods for Physical Modeling
MATH181EMathematical Statistics
MATH280AProbability Theory

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