Teaching

Courses I frequently teach:

Data Analysis in Genome Biology - GEN242

[ Website ]       [ Syllabus ]

Introduction to algorithms, statistical methods and data analysis programming routines relevant for genome biology. The class consists of three main components: lectures, hands-on practicals and student course projects. The lecture topics cover databases, sequence (NGS) analysis, phylogenetics, comparative genomics, genome-wide profiling methods, network biology and more. The hands-on practicals include homework assignments and course projects focusing on data analysis programming of next generation genome data using command-line tools on a computer cluster and the programming environment R. Credit: 4 units (2x 1.5 hours lectures, 1 hour discussion)

Introduction to Genomics and Bioinformatics - BIOL119

[Syllabus]

Introduction to genomics and bioinformatics, emphasizing experimental and computational approaches to genomic data generation and analysis and their application to biological and biomedical problems. Focus areas vary by offering and may include evolutionary and comparative genomics, structural biology, or large-scale genome profiling technologies. 4 units, 3 hours lecture; 1 hour computer lab. Prerequisites: BIOL 005A, BIOL 05LA, BIOL 005B, BIOL 005C, BIOL 102, CHEM 001C or CHEM 01HC, CHEM 112C, MATH 009B or MATH 09HB, PHYS 002C, PHYS 02LC, BCH 100 or BCH 110A, one course in statistics.