Summer 2024 - MATH 795 G100

Selected Topics in Applied Mathematics (3)

Mathematics of Evolution

Class Number: 2663

Delivery Method: In Person

Overview

  • Course Times + Location:

    May 6 – Aug 2, 2024: Mon, 10:30–11:20 a.m.
    Burnaby

    May 6 – Aug 2, 2024: Wed, 10:30 a.m.–12:20 p.m.
    Burnaby

Description

CALENDAR DESCRIPTION:

Held jointly with MATH 495-3. See description for MATH 495-3. Students may not take a 700-division course if it is being offered in conjunction with a 400-division course which they have taken previously.

COURSE DETAILS:

Methods and applications of mathematical models of biological evolution, covering both classical and contemporarytheoretical approaches in the scientific literature. Methods will include using deterministic and stochastic models incontinuous- (ordinary differential equations) or discrete-time (difference equations) and using computer simulations tomodel evolution. Topics may include resource competition, predator-prey interactions, and infectious diseases.

Grading

  • Assignments 20%
  • Midterm 20%
  • Project 30%
  • Final 30%

NOTES:

Graduate students will need to do a presentation as part of their project, and will have additional questions on the assignments.

THE INSTRUCTOR RESERVES THE RIGHT TO CHANGE ANY OF THE ABOVE INFORMATION.

Students should be aware that they have certain rights to confidentiality concerning the return of course papers and the posting of marks.
Please pay careful attention to the options discussed in class at the beginning of the semester.

Materials

MATERIALS + SUPPLIES:

No required textbook, but the following textbooks may be useful:
- Otto and Day 2007 A Biologist's Guide to Mathematical Modeling in Ecology and Evolution, Princeton UniversityPress, ISBN: 9780691123448
- Dercole and Rinaldi 2008 Analysis of Evolutionary Processes: The Adaptive Dynamics Approach and ItsApplications, Princeton University Press, ISBN: 0691120064.

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.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website 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