See Modules for detailed course information!
Jump over to Modules: Getting Started

Click here for a printable Course Schedule: T650 Syllabus

(Math T650)  Probability Theory

Summer 2021

Instructor: Nayeong Kong, Ph.D.

Office: Whitewater 200B

Phone: 765-973-8677

Preferred Contact: Canvas messaging is my preferred means of contact.  I will return your messages and e-mails within 48 business hours.  In case of emergency only email me at kongna@iu.edu

Online Office Hour: Every Thursday (9:00 P.M. EST), Saturday by appointments

Prerequisites: The prerequisite courses for T650 are M301 or M303, and M311.

Course Description:

This course is designed to introduce students to various topics in probability and uncertainty that they will encounter in economic theory. The concepts are illustrated with actual examples from the economics literature. Exercises are designed to encourage the student to begin thinking about probability.

• Textbook: Introduction to probability 1^st Edition by David F. Anderson, Timo Seppalainen, Benedek Valko (ISBN: 9781108415859)

·        List of Course Topics

• Counting
• Axioms of Probability
• Random Variables,
• Distributions, Mean and Variance
• Conditional probability
• Bayes' theorem
• Joint distributions, covariance, correlation
• Independence
• Law of Large Numbers and Central Limit Theorem

• Technology: Any Internet Service Provider (ISP), Microsoft Office 2010 or higher or Office 365, Mozilla Firefox 13.0 or higher or Google Chrome, Adobe Reader

Grade Distribution:

Letter grade Distribution:

We will be using the following grading scale for the course.