BIOL536 - Fundamentals of Computational Biology and Biological Data Analysis

Status
C
Activity
LEC
Section number integer
401
Title (text only)
Fundamentals of Computational Biology and Biological Data Analysis
Term
2021C
Subject area
BIOL
Section number only
401
Section ID
BIOL536401
Course number integer
536
Registration notes
Undergraduates Need Permission
For PhD Students Only
Meeting times
MW 01:45 PM-03:15 PM
Meeting location
GLAB 100
Level
graduate
Instructors
Junhyong Kim
Description
Introductory computational biology course designed for both biology students and computer science, engineering students. The course will cover fundamentals of algorithms, statistics, and mathematics as applied to biological problems. In particular, emphasis will be given to biological problem modeling and understanding the algorithms and mathematical procedures at the "pencil and paper" level. That is, practical implementation of the algorithms is not taught but principles of the algorithms are covered using small sized examples. Topics to be covered are: genome annotation and string algorithms, pattern search and statistical learning, molecular evolution and phylogenetics, functional genomics and systems level analysis. Prerequisite: College level introductory biology required; undergraduate or graduate level statistics taken previously or concurrently required; molecular biology and/or genetics encouraged; programming experience encouraged
Course number only
536
Cross listings
GCB536401, CIS536401
Use local description
No