QLSC 600D1 — Foundations of Quantitative Life Sciences

Provides an overview of important problems in the life sciences and introduces students to the latest computational, mathematical, and statistical approaches involved in their solution. Includes a survey of modern technologies for biological data acquisition and promotes a common language to communicate across the biological, physical, mathematical, and computational sciences. Topics will include bioinformatics and computational genomics, nonlinear dynamics in biological systems, linear and nonlinear models of biological signals, biophysical imaging technology, emergent behaviour in biophysical networks, and ecosystem dynamics and modeling.

• Credits: 3
• Faculty: Graduate Studies
• Department: Quantitative Life Sciences
• Taught by: Alexandre Reynaud, Erik Cook, Frederic Guichard, Satoshi Yoshiji, Sirui Zhou
• Prerequisite(s): BIOL 200 or BIOL 201; COMP 206, COMP 250, MATH 314; MATH 223 or MATH 236; MATH 323 or MATH 324

Sections offered

• Section 001 (Lec), Tue Thu 2:35-4:25 pm — 3 seats open