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Graduate Programs

ECO1010H1F Mathematics and Statistics for MA and MFE Students

This course provides MA and MFE students with a review of key mathematical and statistical techniques for master's level coursework. The Math portion focuses on constrained and unconstrained static optimization, the envelope theorem, and matrix algebra. The statistics portion focuses on probability theory, random variables, probability and cumulative distribution functions, central limit theorems, and regression analysis. This is a Credit/No Credit course. To pass the course, students must pass 3 tests given at the end of each week.

Section L9101, Fall 2020–21

Instructor: Ajaz Hussain [course website]
Day/time: MTWRF10-4

Delivery Method & Instructions: (Online Synchronous)
Lectures will be delivered online (asynchronously) and tutorials will be delivered online (synchronously 2-4pm, weekdays, except Friday August 28 and Friday September 4). See course outline for details.


TA: Tommaso Alba
Last updated on July 27, 2020