Data 140: Probability for Data Science
UC Berkeley, Spring 2024
Ani AdhikariProfessor
adhikari
Week 9
- The Week 9 Study Guide has been released.
- Homework 9 and Lab 6B have been released. They are both due next Monday at 12PM noon.
Calendar
Week 1: Introduction
- Jan 16
- Lecture Probability: axioms, rules, approximation
- Course Information, Ch 1, 2
- Guide Week 1
- Homework Homework 1
- Due Jan 22 at 5PM
- Lab Lab 1
- Due Jan 22 at 5PM
- Jan 17
- Section
- Jan 18
- Jan 19
- Mega-Section
Week 2: Symmetry and Random Counts
- Jan 22
- Guide Week 2
- Homework Homework 2
- Due Jan 29 at 5PM
- Lab Lab 2
- Due Jan 29 at 5PM
- Jan 23
- Lecture Symmetry and collections of events
- Ch 5
- Jan 24
- Section
- Jan 25
- Lecture Binomial and related counts; a Poisson limit
- Ch 6
- Jan 26
- Mega-Section
Week 3: Poissonization and Expectation
- Jan 29
- Guide Week 3
- Homework Homework 3
- Due Feb 5 at 5PM
- Lab Lab 3A
- Due Feb 5 at 5PM
- Jan 30
- Lecture Independence and Poissonization
- Ch 7
- Jan 31
- Section
- Feb 1
- Lecture Expectation
- Ch 8.1 - 8.3
- Feb 2
- Mega-Section
Week 4: Expectation and Conditioning
- Feb 5
- Guide Week 4
- Homework Homework 4
- Due Feb 12 at 12 noon
- Lab Lab 3B
- Due Feb 12 at 12 noon
- Feb 6
- Lecture Expectation and additivity
- Ch 8.4 - 8.5
- Feb 7
- Section
- Feb 8
- Lecture Expectation by conditioning
- Ch 9
- Feb 9
- Mega-Section
Week 5: Markov Chains
- Feb 12
- Exam Midterm 1
- 7PM - 9PM
- Feb 13
- Guide Week 5
- Homework Homework 5
- Due Feb 20 at 12 noon
- Lecture Long run behavior of Markov chains
- Ch 10
- Feb 14
- Section
- Feb 15
- Feb 16
- Mega-Section
Week 6: MCMC and Variance
- Feb 20
- Guide Week 6
- Homework Homework 6
- Due Feb 26 at 5PM
- Lab Lab 4
- Due Feb 26 at 5PM
- Lecture Markov Chain Monte Carlo
- Ch 11.2 - 11.3
- Feb 21
- Section
- Feb 22
- Lecture Standard deviation and tail bounds
- Ch 12
- Feb 23
- Mega-Section
Week 7: Covariance and CLT
- Feb 26
- Guide Week 7
- Homework Homework 7
- Due Mar 4 at 5PM
- Lab Lab 5
- Due Mar 4 at 5PM
- Feb 27
- Lecture Covariance and its uses
- Ch 13
- Feb 28
- Section
- Feb 29
- Lecture Central Limit Theorem
- Ch 14
- Mar 1
- Mega-Section
Week 8: Densities and Transformations
- Mar 4
- Guide Week 8
- Homework Homework 8
- Due Mar 11 at 5PM
- Lab Lab 6A
- Due Mar 11 at 5PM
- Mar 5
- Lecture Probability densities
- Ch 15
- Mar 6
- Section
- Mar 7
- Lecture Transformations
- Ch 16
- Mar 8
- Mega-Section
Week 9: Joint Densities, Beta, Normal, and Gamma Families
Week 10: MGFs
Week 11: Spring Break
- Mar 25
- Spring Break
- Mar 26
- Spring Break
- Mar 27
- Spring Break
- Mar 28
- Spring Break
- Mar 29
- Spring Break
Week 12: MLE, MAP, the Beta and the Binomial
Week 13: Prediction and Error
- Apr 8
- Homework Homework 12
- Due Apr 15 at 5PM
- Apr 9
- Lecture Prediction and error
- Ch 22.1 - 22.2
- Apr 10
- Section
- Apr 11
- Lecture Variance by conditioning
- Ch 22.3 - 22.4
- Apr 12
- Mega-Section
Week 14: Random Vectors and Simple Regression
Week 15: Multiple Regression
- Apr 22
- Homework Homework 14
- Due Apr 29 at 5PM
- Apr 23
- Lecture Multiple regression I
- Ch 25.1 - 25.3
- Apr 24
- Section
- Apr 25
- Lecture Multiple regression II
- Ch 25.4
- Apr 26
- Mega-Section
Week 16: Reading, Review, Recitation
- Apr 29
- RRR Week
- Apr 30
- RRR Week
- May 1
- RRR Week
- May 2
- RRR Week
- May 3
- RRR Week
Week 17: Final Exams
- May 6
- Exam Final Exam
- 11:30AM - 2:30PM