CS2008301: Probability and Statistics

Lecture: Monday, 13:20~15:10 & Wensday, 15:30~16:20

 

Instructor: at

Teaching Assistants: Ckp, ùW, [a, dA, dF|

 

Date Syllabus
2/26 Course Overview
2/28 Peace Memorial Day
3/5 Sample Space and Probability
3/7 Conditional Probability
3/12 Total Probability Theorem and Bayes' rule
3/14 Independence and Counting
3/19 Discrete Random Variable Basics and Probability Mass Functions
Review of Chapter 1
3/21 Quiz 1
3/26 Functions of Random Variables & Expectation, Mean and Variance
3/28 Discussion on Quiz 1
4/2 Break
4/4 Break
4/9 Joint PMFs of Multiple Random Variables & Conditioning
4/11 Independence
4/16 Break
4/18 Quiz 2
4/23 Continuous Random Variable Basics and PDFs & Cumulative Distribution Functions
4/25 Discussion on Quiz 2
4/30 Midterm
5/2 Discussion on Midterm
5/7 Normal Random Variables & Conditioning on an Event
5/9 Multiple Continuous Random Variables
5/14 Derived Distributions & Review of Chapter 3
5/16 Quiz 3
5/21 Transforms & Sums of Independent Random Variables - Convolutions
5/23 Discussion on Quiz 3
5/28 Conditional Expectation as a Random Variable & Sum of a Random Number of Independent Random Variables
5/30 Covariance and Correlation
6/4 Least Squares Estimation
6/6 The Bivariate Normal Distribution
6/11 Quiz 4
6/13 Discussion on Quiz 4
6/18 Dragon Boat Festival
6/20 Break
6/25 Final Exam