Fall 2019 - BISC 422 D100

Population Genetics (3)

Class Number: 3133

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 3 – Dec 2, 2019: Tue, 11:30 a.m.–1:20 p.m.
    Burnaby

    Sep 3 – Dec 2, 2019: Thu, 11:30 a.m.–12:20 p.m.
    Burnaby

  • Prerequisites:

    BISC 202 with a grade of C- or better and STAT 201.

Description

CALENDAR DESCRIPTION:

Theoretical and experimental aspects of inheritance at the population level. Topics include Hardy-Weinberg, one- and two-locus selection theory, introduction to quantitative genetics, and Fisher's fundamental theorem of natural selection.

COURSE DETAILS:

 This course will review the foundations of population genetics, with an emphasis on both mathematical models and methods for analysis of population genetic data applied to problems in evolution and ecology. Lectures focus on models of the Big Five processes that affect population genetic variation (genetic drift, nonrandom mating, mutation, gene flow, and selection). Homework assignments emphasize analytical problem solving (using models) and visualization of population genetic processes (using simulations). Students will develop a general understanding of population genetics theory and processes. Students will also develop introductory-level expertise in data analysis and interpretation using widely available population genetics analysis software. We will use software with graphical user interfaces or with simple command-line scripts (no coding expertise is needed). The last part of the semester will be devoted to student projects that emphasize reading and understanding population genetic analyses of data, comparative analysis of population genetic patterns, and (if desired) new analyses of population genetic data downloaded from public databases and repositories.

Grading

  • Midterm Exam I 25%
  • Midterm Exam II 25%
  • Problem Sets (models some weeks) 10%
  • Assignments (simulations, other weeks) 10%
  • Tutorial Attendance 5%
  • Term Project (draft) 15%
  • Term Project (final) 10%

NOTES:

GRADES: Past distributions have been app. 35% A, 50% B, 15% C.

Materials

REQUIRED READING:

“Population Genetics”, 1st edition (2009) by Matthew B. Hamilton.

Registrar Notes:

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