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)
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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:
| Date | Details | Due |
|---|---|---|