Data 140: Probability for Data Science
UC Berkeley, Spring 2025
Week 10
- The Week 10 Study Guide has been released.
- Homework 10 and Lab 7A have been released. They are due on Monday, April 7th at 5PM.
- Midterm 2 will take place on Wednesday, April 2 starting at 8PM. See Ed for logistics as well as scope and practice.
Calendar
Week 1: Introduction
- Jan 20
- Holiday
- Jan 21
- Guide Week 1
-
- Lecture Probability: axioms, rules, approximation
- Course Information, Ch 1, 2
-
- Homework Homework 1
- Due Jan 27 at 5 PM
-
- Lab Lab 1
- Due Jan 27 at 5 PM
- Jan 22
- Section
- Jan 23
- Jan 24
- Mega-Section
Week 2: Symmetry and Random Counts
- Jan 27
- Guide Week 2
-
- Homework Homework 2
- Due Feb 3 at 5 PM
-
- Lab Lab 2
- Due Feb 3 at 5 PM
- Jan 28
-
- Lecture Symmetry and collections of events
- Ch 5
- Jan 29
- Section
- Jan 30
-
- Lecture Binomial and related counts; a Poisson limit
- Ch 6
- Jan 31
- Mega-Section
Week 3: Poissonization and Expectation
- Feb 3
- Guide Week 3
-
- Homework Homework 3
- Due Feb 10 at 5 PM
-
- Lab Lab 3A
- Due Feb 10 at 5 PM
- Feb 4
-
- Lecture Independence and Poissonization
- Ch 7
- Feb 5
- Section
- Feb 6
-
- Lecture Expectation
- Ch 8.1 - 8.3
- Feb 7
- Mega-Section
Week 4: Expectation and Conditioning
- Feb 10
- Guide Week 4
-
- Homework Homework 4
- Due Feb 18 at 12 PM noon
-
- Lab Lab 3B
- Due Feb 18 at 12 PM noon
- Feb 11
-
- Lecture Expectation and additivity
- Ch 8.4 - 8.5
- Feb 12
- Section
- Feb 13
-
- Lecture Expectation by conditioning
- Ch 9
- Feb 14
- Mega-Section
Week 5: Markov Chains
- Feb 17
- Holiday
- Feb 18
- Guide Week 5
-
- Homework Homework 5
- Due Feb 24 at 5 PM
-
- Lecture Long run behavior of Markov chains
- Ch 10
- Feb 19
-
- Exam Midterm 1
- 8PM - 10PM
- Feb 20
- Feb 21
- Mega-Section
Week 6: MCMC and Variance
- Feb 24
- Guide Week 6
-
- Homework Homework 6
- Due Mar 3 at 5 PM
-
- Lab Lab 4
- Due Mar 3 at 5 PM
- Feb 25
-
- Lecture Markov Chain Monte Carlo
- Ch 11.2 - 11.3
- Feb 26
- Section
- Feb 27
-
- Lecture Standard deviation and tail bounds
- Ch 12
- Feb 28
- Mega-Section
Week 7: Covariance and CLT
- Mar 3
- Guide Week 7
-
- Homework Homework 7
- Due Mar 10 at 5 PM
-
- Lab Lab 5
- Due Mar 10 at 5 PM
- Mar 4
-
- Lecture Covariance and its uses
- Ch 13
- Mar 5
- Section
- Mar 6
-
- Lecture Central Limit Theorem
- Ch 14
- Mar 7
- Mega-Section
Week 8: Densities and Transformations
- Mar 10
- Guide Week 8
-
- Homework Homework 8
- Due Mar 17 at 5 PM
-
- Lab Lab 6A
- Due Mar 17 at 5 PM
- Mar 11
-
- Lecture Probability densities
- Ch 15
- Mar 12
- Section
- Mar 13
-
- Lecture Transformations
- Ch 16
- Mar 14
- Mega-Section
Week 9: Joint Densities, Beta, Normal, and Gamma Families
Spring Break
- Mar 24
- Spring Break
- Mar 25
- Spring Break
- Mar 26
- Spring Break
- Mar 27
- Spring Break
- Mar 28
- Spring Break
Week 10: MGFs
- Mar 31
- Guide Week 10
-
- Homework Homework 10
- Due Apr 7 at 5 PM
-
- Lab Lab 7A
- Due Apr 7 at 5 PM
- Apr 1
-
- Lecture Moment generating functions
- Ch 19
- Apr 2
-
- Exam Midterm 2
- 8PM - 10PM
- Apr 3
-
- Lecture Moment generating functions; Chernoff bound
- Ch 19
- Apr 4
- Mega-Section
Week 11: MLE, MAP, the Beta and the Binomial
Week 12: Prediction and Error
- Apr 14
- Apr 15
-
- Lecture Prediction and error
- Ch 22.1 - 22.2
- Apr 16
- Section
- Apr 17
-
- Lecture Variance by conditioning
- Ch 22.3 - 22.4
- Apr 18
- Mega-Section
Week 13: Random Vectors and Simple Regression
Week 14: Multiple Regression
- Apr 28
- Apr 29
-
- Lecture Multiple regression I
- Ch 25.1 - 25.3
- Apr 30
- Section
- May 1
-
- Lecture Multiple regression II
- Ch 25.4
- May 2
- Mega-Section
Week 15: Reading, Review, Recitation
- May 5
- RRR Week
- May 6
- RRR Week
- May 7
- RRR Week
- May 8
- RRR Week
- May 9
- RRR Week
Week 16: Final Exams
- May 12
-
- Exam Final Exam
- 11:30AM - 2:30PM