Fall 2019 - ECON 831 G100
Mathematical Economics (4)
Class Number: 1017
Delivery Method: In Person
Introduction to mathematics required for PhD level coursework and research in economics. Topics may include real analysis, analysis on metric spaces, differential calculus, convexity, and optimization. Graded on a satisfactory/unsatisfactory basis.
The goal of this course is to develop the fluency in mathematics required for PhD level coursework and research in economics.
Topics (subject to change):
- Logic, sets, relations, functions, and real numbers
- Analysis on metric spaces
- Differential calculus, convexity, and optimization
- Test + quizzes 20%
- Final exam 80%
Lay, S. 2005. Analysis: With an Introduction to Proof. Pearson. (4th or 5th edition).
Sundaram, R. 1996. A First Course in Optimization Theory. Cambridge.
Vohra, R. 2005. Advanced Mathematical Economics. Routledge.
de la Fuente, A. 2000. Mathematical Methods and Models for Economists. Cambridge University Press.
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