Course Syllabus

 

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(Math M 463)  Introduction to Probability Theory

Summer 2022

 

 

Instructor: Yeng Xiong

Preferred Contact: Email (Canvas or IU email) is my preferred means of contact, and I will respond to your messages as soon as I can. 

Online Office Hour: Every Wednesday (6:00-7:00 P.M. EST), Friday/Saturday by appointments

Supplemental Instructor: Richard McHone

 

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 1st Edition by David F. Anderson, Timo Seppalainen, Benedek Valko (ISBN: 9781108415859)
  • Prerequisites: The prerequisite courses for M463 are M301 or M303, and M311

  • 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

 

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

  

Grade Distribution:

Attendance (Online Office Hour)

5 %

Weekly Assignments

30 %

Online Discussion

10 %

Weekly Quizzes

10 %

Midterm Exam

15 %

Final Exam

30 %

 

Letter Grade Distribution:

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

 97.00%

A+

77.00 – 79.99%

C+

93.00 – 96.99%

A

73.00 – 76.99%

C

90.00 – 92.99%

A-

70.00 – 72.99%

C-

87.00 – 89.99%

B+

67.00 – 69.99%

D+

83.00 – 86.99%

B

60.00 – 66.99%

D

80.00 – 82.99%

B-

 59.99%

F

Course Summary:

Course Summary
Date Details Due