Fall 2019 - STAT 840 G100
Statistical Genetics and Genomics (4)
Class Number: 5250
Delivery Method: In Person
A mixed lecture and seminar-based course to introduce Statistics graduate students to statistical models and methods in Genetics and Genomics. Topics may include applications of statistical learning in: Quantitative Genetics, Population and Evolutionary Genetics, Computational Molecular Genetics, Human Genomics and Genetic Epidemiology.
- Introduction to genetics
- Models for population genetics
- Pedigrees and pedigree data with respect to one locus
- Models for linkage between two loci and linkage between multiple loci
- Readings/Exercises 20%
- Lectures 30%
- Project 50%
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS