Modern Statistical Genetics
CHL 5224 (Graduate Only)
- The objective of this graduate course is to prepare trainees to conduct
independent research in methodology development and perform data analyses with critical thinking.
- The intended audience are graduate students (both at the Master and PhD levels) from the Biostatistics and
Statistics programs. Students from other programs but with strong training in mathematical statistics are also
welcome, as well as post-doctoral fellows, analysts and investigators with proper background.
For other students, please take
STA480/STA2080 - Fundamentals of Statistical Genetics offered in the
Winter Semester. If you are unsure which course you should take please email
- The prerequisite is statistical knowledge at the graduate
level and solid programming skill.
- There is no formal textbook for this graduate course, though the book by Laird and Lange is quite helpful:
The Fundamentals of Modern Statistical Genetics (need the online access to the UofT library).
Teaching materials (lecture notes, journal papers etc.) will be provided by the instructor via
- Time: Mondays 10am - 1pm.
- Location: HSB (155 College) Room 790.
- Instructor: Lei Sun (firstname.lastname@example.org)
- Office Hour: half hour each before and after each session, i.e. 9:30-10am and 1-1:30pm.
- Format of instruction: old-fashioned lectures and two hands-on computing labs.
- Evaluation: in-class closed-book midterm and final exams, and two take-home data analysis and report
following each lab session. Details to be announced during the first class.
COURSE SYLLABUS AND LECTURE NOTES
- Lecture notes and all other information will be posted on the UofT