Fundamentals of Statistical Genetics
STA480 (Undergraduate) and STA2080
- This objective of this undergraduate and graduate course is to "learn about statistical
methods for genetic analysis, whether to better analyze genetic data, or to pursue research in
- The intended audience are
- Undergraduate students: majored in statistics.
- Graduate students: majored in diverse disciplines other than statistics and biostatistics.
- Others: post-doctoral fellows, analysts and investigators with mathematical statistics training at the undergraduate level.
For graduate students from statistics and biostatistics programs, please take
CHL5224 - Statistical Genetics offered in the
Fall Semester. If you are unsure which course you should take please email
- "We assume no formal training in genetics, [but] we assume familiarity with elementary
probability, statistical inference and methods".
The prerequisite is
STA303-Methods of Data Analysis or equivalent. Having said that, we try to be as inclusive as possible: we welcome all students who are
interested in statistical genetics
even just out of scientific curiosities.
- The teaching will generally follow the textbook by Laird and Lange:
The Fundamentals of Modern Statistical Genetics
(need the online access to the UofT library), with additional materials from the instructor.
- Time: Mondays 10am - 1pm.
- Instructor: Lei Sun (email@example.com)
- Instructor's Office Hour: half hour each before and after each session, i.e. 9:30-10am and 1-1:30pm..
- Format of instruction: lectures.
- Evaluation: in-class closed-book exams.
COURSE SYLLABUS AND LECTURE NOTES
- Lecture notes and all other information will be posted on the UofT