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 & Joint PDFs of Multiple Random Variables
5/9 Conditioning
5/14 The Continuous Bayes' Rules
Derived Distributions
5/16 Quiz 3
5/21 Covariance and Correlation & Conditional Expectation and Variance Revisited
5/23 Discussion on Quiz 3
5/28 Transforms
5/30 Sum of a Random Number of Independent Random Variables
6/4 Least Squares Estimation
6/6 Quiz 4
6/11 Markov Inequality, Chebyshev Inequality & The Weak Law of Large Numbers
6/13 Discussion on Quiz 4
6/18 Dragon Boat Festival
6/20 Break
6/25 Final Exam