Course Description
The abundance of data in biological sciences continues to grow year after year. The skills required to navigate and thrive in this field are no longer confined to the laboratory bench as experimental results go beyond simple analyses. This course will teach introductory programming skills, and the conceptual tools used in the analysis of big data such as dimensional reduction, visualization, and machine learning. Students will get practical experience writing code to analyze example datasets.
Recommended Preparation
Students should familiarize themselves with basic summary and statistical analyses. Preferably, EEB125H1 or GGR274H1
Exclusion
Lecturer(s)
Prof A. Moses
alan.moses@utoronto.ca
TBA
Contact Hours
24L/12T
Evaluation (Subject to change)
Class participation: 24%
Quizzes: 40%
Final exam: 36%
Last updated on June 12th, 2025