Data 89: Mathematical and Graphical Foundations of Probability

Name: Data 89
Author: Data 89 Staff

UC Berkeley, Spring 2026

Week 9 Announcement

Mar 16 · 1 min read

Homework 9 has been released. It is due Monday, March 30th at 5 p.m.

Mon, Jan 19	Homework 1Probability Essentials (Due 1/26)
Tue, Jan 20	Lecture 1 Probability Essentials: Sets, Logic, and Algebra
Wed, Jan 21	Discussion 1Worksheet
Thu, Jan 22	Lecture 2 Probability Essentials: Conditioning and Independence

Mon, Jan 26	Homework 2Distributions and Models (Due 2/2)
Tue, Jan 27	Lecture 3 Probability Models: Discrete Random Variables
Wed, Jan 28	QUIZ 1Quiz 1 Scope Discussion 2Worksheet
Thu, Jan 29	Lecture 4 Probability Models: Continuous Random Variables

Mon, Feb 02	Homework 3Function Visualization (Due 2/9)
Tue, Feb 03	Lecture 5 Visualizing Functions and Models: Global Properties
Wed, Feb 04	QUIZ 2Quiz 2 Scope Discussion 3Worksheet
Thu, Feb 05	Lecture 6 Visualizing Functions and Models: Local Properties
Fri, Feb 06	Quiz RetakeQuiz 1 Retakes Friday Feb 6

Mon, Feb 09	Homework 4Expectations (Due 2/17)
Tue, Feb 10	Lecture 7 Distribution Attributes: Expectation as Central Tendency 1
Wed, Feb 11	Discussion 4Worksheet Quiz RetakeQuiz 2 Retakes Wednesday Feb 11 - Friday Feb 13
Thu, Feb 12	Lecture 8 Distribution Attributes: Expectation as Central Tendency 2

Mon, Feb 16	Homework 5Variance and SD (Due 2/23 12:00 PM)
Tue, Feb 17	Lecture 9 Distribution Attributes: Standard Deviation as Dispersion
Wed, Feb 18	QUIZ 3Quiz 3 Scope Discussion 5Worksheet
Thu, Feb 19	Lecture 10 Distribution Attributes: Tails and Asymptotics

Mon, Feb 23	Exam Exam 1, 7-9pm Homework 6Tails, Asymptotics, and Series (Due 3/2)
Tue, Feb 24	Lecture 11 Techniques: Sequences, Series, and Asymptotic Rates
Wed, Feb 25	Discussion 6Worksheet
Thu, Feb 26	Lecture 12 Techniques: Taylor Series and Function Approximation

Mon, Mar 02	Homework 7Approximate and Limiting Chances (Due 3/9) Quiz RetakeQuiz 3 Retakes Monday March 2 - Tuesday March 3
Tue, Mar 03	Lecture 13 Probability Models: Limiting Distributions
Wed, Mar 04	Discussion 7Worksheet
Thu, Mar 05	Lecture 14 Techniques: Integration by Parts

Mon, Mar 09	Homework 8Integration Techniques (Due 3/16)
Tue, Mar 10	Lecture 15 Techniques: Integration by Substitution and Change of Variables
Wed, Mar 11	QUIZ 4 Discussion 8Worksheet
Thu, Mar 12	Lecture 16 Coordinate Systems for Multiple Variables

Mon, Mar 16	Homework 9Multiple Variables (Due 3/30)
Tue, Mar 17	Lecture 17 Visualizing Functions: Multivariate Functions
Wed, Mar 18	QUIZ 5 Discussion 9Worksheet
Thu, Mar 19	Lecture 18Probability Models: Joint Distributions
Fri, Mar 20	Quiz RetakeQuiz 4 Retakes Friday March 20

Mon, Mar 30	Homework 10Due 4/6
Tue, Mar 31	Lecture 19Techniques: Partial Derivatives and Gradients
Wed, Apr 01	QUIZ 6 Discussion 10
Thu, Apr 02	Lecture 20Techniques: Gradients and Optimization
Fri, Apr 03	Quiz RetakeQuiz 5 Retakes Friday April 3

Mon, Apr 06	Exam Exam 2, 7-9pm Homework 11Due 4/13
Tue, Apr 07	Lecture 21Techniques: Integrals and Sums in Multiple Dimensions
Wed, Apr 08	Discussion 11 Quiz RetakeQuiz 6 Retakes Wednesday April 8 - Friday April 10
Thu, Apr 09	Lecture 22Techniques: Splitting Sums and Conditional Expectation

Mon, Apr 13	Homework 12Due 4/20
Tue, Apr 14	Lecture 23Techniques: Integration on Manifolds and Change of Coordinates
Wed, Apr 15	Discussion 12
Thu, Apr 16	Lecture 24Distribution Attributes: Covariance and Correlation

Mon, Apr 20	Homework 13Due 4/27
Tue, Apr 21	Lecture 25Application: Concentration and The Law of Large Numbers
Wed, Apr 22	QUIZ 7 Discussion 13
Thu, Apr 23	Lecture 26Application: Expectation, Estimation, and Bias

Mon, Apr 27	Homework 14Due 5/4
Tue, Apr 28	Lecture 27Application: The Law of Total Variance and ANOVA
Wed, Apr 29	Discussion 14 Quiz RetakeQuiz 7 Retakes Wednesday April 29 - Friday May 1
Thu, Apr 30	Lecture 28Review I