Data 140: Probability for Data Science
UC Berkeley, Fall 2023
Ani AdhikariProfessor
adhikari
Alexander StrangProfessor
alexstrang
Week 15
- The Week 15 Study Guide has been released.
- Homework 15 has been released. It is due next Monday at 5PM.
- Exam Prep #7 has been released on Gradescope.
Calendar
Week 1: Introduction
- Aug 23
- Guide Week 1
- Aug 24
- Lecture Probability: axioms, rules, approximation
- Course Information, Ch 1, 2
- Homework Homework 1
- Due Aug 28 at 5PM
- Lab Lab 1: Birthday Attack
- Due Aug 28 at 5PM
- Aug 25
- Mega-Section
Week 2: Random Variables and Symmetry
- Aug 28
- Guide Week 2
- Homework Homework 2
- Due Sep 5 at 12 noon
- Lab Lab 2A: Total Variation
- Due Sep 5 at 12 noon
- Aug 29
- Aug 30
- Section
- Aug 31
- Lecture Symmetry and collections of events
- Ch 5
- Sep 1
- Mega-Section
Week 3: Random Counts
- Sep 5
- Guide Week 3
- Homework Homework 3
- Due Sep 11 at 5PM
- Lab Lab 2B: Total Variation
- Due Sep 11 at 5PM
- Lecture Binomial and related counts; a Poisson limit
- Ch 6
- Sep 6
- Section
- Sep 7
- Lecture Independence and Poissonization
- Ch 7
- Sep 8
- Mega-Section
Week 4: Expectation
- Sep 11
- Guide Week 4
- Homework Homework 4
- Due Sep 18 at 5PM
- Lab Lab 3A: Chinese Restaurant Process
- Due Sep 18 at 5PM
- Sep 12
- Lecture Expectation
- Ch 8.1 - 8.3
- Sep 13
- Section
- Sep 14
- Lecture Expectation and additivity
- Ch 8.4 - 8.5
- Sep 15
- Mega-Section
Week 5: Conditioning and Markov Chains
- Sep 18
- Guide Week 5
- Homework Homework 5
- Due Sep 25 at 12 noon
- Lab Lab 3B: Chinese Restaurant Process
- Due Sep 25 at 12 noon
- Sep 19
- Lecture Expectation by conditioning
- Ch 9
- Sep 20
- Section
- Sep 21
- Lecture Long run behavior of Markov chains
- Ch 10
- Sep 22
- Mega-Section
Week 6: Markov Chain Monte Carlo
- Sep 25
- Exam Midterm 1
- 7PM - 9PM
- Sep 26
- Guide Week 6
- Homework Homework 6
- Due Oct 2 at 5PM
- Lab Lab 4: Code Breaking by MCMC
- Due Oct 2 at 5PM
- Sep 27
- Section
- Sep 28
- Lecture Markov Chain Monte Carlo
- Ch 11.2 - 11.3
- Sep 29
- Mega-Section
Week 7: Variance and Tail Bounds
- Oct 2
- Guide Week 7
- Homework Homework 7
- Due Oct 9 at 5PM
- Lab Lab 5: Multinomial Correlations
- Due Oct 9 at 5PM
- Oct 3
- Lecture Standard deviation and tail bounds
- Ch 12
- Oct 4
- Section
- Oct 5
- Lecture Covariance and its uses
- Ch 13
- Oct 6
- Mega-Section
Week 8: Central Limit Theorem and Densities
- Oct 9
- Guide Week 8
- Homework Homework 8
- Due Oct 16 at 5PM
- Lab Lab 6A: Densities and SymPy
- Due Oct 16 at 5PM
- Oct 10
- Lecture Central Limit Theorem
- Ch 14
- Oct 11
- Section
- Oct 12
- Lecture Probability densities
- Ch 15
- Oct 13
- Mega-Section
Week 9: Transformations and Joint Densities
- Oct 16
- Guide Week 9
- Homework Homework 9
- Due Oct 23 at 5PM
- Lab Lab 6B: Densities and SymPy
- Due Oct 23 at 5PM
- Oct 17
- Lecture Transformations
- Ch 16
- Oct 18
- Section
- Oct 19
- Lecture Joint densities
- Ch 17
- Oct 20
- Mega-Section
Week 10: The Beta, Normal, and Gamma Families
- Oct 23
- Guide Week 10
- Homework Homework 10
- Due Oct 30 at 12 noon
- Oct 24
- Oct 25
- Section
- Oct 26
- Lecture Moment generating functions
- Ch 19
- Oct 27
- Mega-Section
Week 11: MGFs, MLE, and MAP
- Oct 30
- Exam Midterm 2
- 7PM - 9PM
- Oct 31
- Guide Week 11
- Homework Homework 11
- Due Nov 6 at 5PM
- Lab Lab 7A: Poisson Process
- Due Nov 6 at 5PM
- Lecture Moment generating functions; Chernoff bound
- Ch 19
- Nov 1
- Section
- Nov 2
- Lecture MLE; conditioning; MAP estimates
- Ch 20
- Nov 3
- Mega-Section
Week 12: The Beta and the Binomial; Prediction
- Nov 6
- Guide Week 12
- Homework Homework 12
- Due Nov 13 at 5PM
- Lab Lab 7B: Poisson Process
- Due Nov 13 at 5PM
- Nov 7
- Lecture The beta and the binomial
- Ch 21
- Nov 8
- Section
- Nov 9
- Lecture Prediction and error
- Ch 22.1 - 22.2
- Nov 10
- Veterans Day Holiday
Week 13: Variance by Conditioning and Random Vectors
- Nov 13
- Guide Week 13
- Homework Homework 13
- Due Nov 20 at 5PM
- Lab Lab 8: Multivariate Normal
- Due Nov 20 at 5PM
- Nov 14
- Lecture Variance by conditioning
- Ch 22.3 - 22.4
- Nov 15
- Section
- Nov 16
- Lecture Random vectors; the multivariate normal
- Ch 23
- Nov 17
- Mega-Section
Week 14: Simple Regression
- Nov 20
- Guide Week 14
- Homework Homework 14
- Due Nov 27 at 5PM
- Nov 21
- Lecture Correlation and simple regression
- Ch 24
- Nov 22
- Thanksgiving Break
- Nov 23
- Thanksgiving Break
- Nov 24
- Thanksgiving Break
Week 15: Multiple Regression
- Nov 27
- Guide Week 15
- Homework Homework 15
- Due Dec 4 at 5PM
- Nov 28
- Lecture Multiple regression I
- Ch 25.1 - 25.3
- Nov 29
- Section
- Nov 30
- Lecture Multiple regression II
- Ch 25.4
- Dec 1
- Mega-Section
Week 16: Reading, Review, Recitation
- Dec 5
- RRR Week
- Dec 6
- RRR Week
- Dec 7
- RRR Week
- Dec 8
- RRR Week
Week 17: Final Exams
- Dec 15
- Exam Final Exam
- 7PM - 10PM