Introduction
So you think you can count?
Section 2
(Thurs, Jan 11)
Probability problems
Conditional Probability
Bayes Theorem
Law of Total Probability
Martin Luther King Jr Holiday
Section 3
(Thurs, Jan 18)
Conditional probability, Bayes Thm
More independence
Intro Random Variables
More Random Variables
Expectation
Intro Linearity of Expectation
More linearity of expectation
LOTUS
Section 4
(Thurs, Jan 25)
Random variables
Variance
Independence of R.V.s
Independence of r.v.s
Zoo of Discrete RVs
Continue zoo: Geometric and Poisson
Finish Poisson
Application: Bloom Filters
Continuous random variables
Continuous random variables
Review for midterm
- Pset5 Task 7 Due 11:59pm PDT
Normal distribution
Central Limit Theorem
Section 7
(Thurs, Feb 15)
Normal distn, Continuity correction, CLT
Application: Polling
Intro to Confidence Intervals
CLT and joint distributions
Conditional Expectation
Law of Total Expectation
Maximum Likelihood Estimation
Finish MLE
Distinct Elements and the MinHash Algorithm
Section 9
(Thurs, Feb 29)
Law of Total Expectation, MLE
Pagerank + A glimpse of auction theory
Section 10
(Thurs, Mar 7)
Practice for final
Victory lap!
- Pset8 Task 9 Due 11:59pm PDT
Our final is scheduled for Monday, March 11, from 2:30pm - 4:20pm
This course website heavily follows the example of the website of CSE373 2019 Spring.