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Math M 463 Syllabus.docx 

 

(Math M 463)  Introduction to Probability Theory

Summer 2021

 

 

Instructor: Hee Koung Joeng, Ph.D.

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 hjoeng@iu.edu 

Online Office Hour: Every Thursday (8:00 P.M. EST), Saturday by appointments

 

Prerequisites: The prerequisite courses for M463 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

 

Important Dates:

 

Last day to drop or withdraw with a 100 percent refund is May 23 2021

Last day to register, add courses or change sections is May 23 2021

Last day to drop or withdraw with a 75 percent refund is May 30 2021

Last day to drop or withdraw with a 50 percent refund is June 6 2021

Last day to drop or withdraw with a 25 percent refund is June 13 2021 (No refund after this)

Last day to drop or withdraw with an automatic "W" is July 7 2021

 

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