COBB 2010 - FOUNDATIONS OF COMPUTATIONAL BIOLOGY

Minimum Credits: 3
Maximum Credits: 3
This course introduces students to the essential concepts, tools and techniques of modern computational biology, with real-world examples. It covers mathematical concepts, such as linear algebra, differential equations, and statistics, that are central to modeling biological systems. Students will learn the basic theory behind widely-used techniques like automated clustering, parameter estimation, sampling, and numerical integration. Project-based assignments in R and Python center around real-world computational biology problems from genomics, structural biology, and systems modeling. Prerequisites: Although there are no official prerequisites, it is highly recommended that students wishing to enroll in this course have an understanding of differential calculus and at least one semester of programming. This course is open to graduate students and upper-level undergraduates.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

Click here for class schedule information.

Add to Portfolio.

Close Window