Data 140: Probability for Data Science
UC Berkeley, Spring 2026
Week 1 Announcement
- Our first Wednesday section and Friday megasections will both be this week!
- Please carefully read through the course information, which covers the details of the course this semester.
- Please work through the math prerequisites. The first week will use Basic Counting, Sums, and Exponential and Log Functions.
- The Week 1 Study Guide has been released. It contains which textbook sections and problems are covered in lecture and sections respectively.
- Please make sure you have access to the Ed (for course announcements) and to Gradescope (for submitting assignments).
Calendar
Week 1
| Mon, Jan 19 | LabLab 1 (due Jan 26 at 5PM)
HomeworkHomework 1 (due Jan 26 at 5PM)
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GuideWeek 1 Guide |
| Tue, Jan 20 | Lecture 1Probability: axioms, rules, approximation |
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| Thu, Jan 22 | Lecture 2Random variables: distributions, equality, conditioning |
Week 2
| Mon, Jan 26 | LabLab 2 (due 2/2)
HomeworkHomework 2 due 2/2
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| Tue, Jan 27 | Lecture 3Symmetry and collections of events |
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| Thu, Jan 29 | Lecture 4Binomial and related counts; a Poisson limit |
Week 3
| Mon, Feb 02 | LabLab 3A (due 2/9)
HomeworkHomework 3 due 2/9
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| Tue, Feb 03 | Lecture 5Independence and Poissonization |
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| Thu, Feb 05 | Lecture 6Expectation |
Week 4
| Mon, Feb 09 | LabLab 3B (due 2/17)
HomeworkHomework 4 due 2/17
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| Tue, Feb 10 | Lecture 7Expectation and additivity |
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| Thu, Feb 12 | Lecture 8Expectation by conditioning |
Week 5
| Mon, Feb 16 | HomeworkHomework 5 due 2/23
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| Tue, Feb 17 | Lecture 9Long run behavior of Markov Chains |
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| Wed, Feb 18 |
Exam
Midterm 1 (7-9 PM, Wheeler 150)
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| Thu, Feb 19 | Lecture 10Balance |
Week 6
| Mon, Feb 23 | LabLab 4
HomeworkHomework 6 due 3/2
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| Tue, Feb 24 | Lecture 11Markov Chain Monte Carlo |
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| Thu, Feb 26 | Lecture 12SD, tail bounds |
Week 7
| Mon, Mar 02 | LabLab 5
HomeworkHomework 7 due 3/9
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| Tue, Mar 03 | Lecture 13Covariance and its uses |
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| Thu, Mar 05 | Lecture 14Central Limit Theorem |
Week 8
| Mon, Mar 09 | LabLab 6A (due 3/16)
HomeworkHomework 8 due 3/26
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| Tue, Mar 10 | Lecture 15Probability densities |
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| Thu, Mar 12 | Lecture 16Transformations |
Week 9
| Mon, Mar 16 | LabLab 6B (due 3/30)
HomeworkHomework 9 due 3/30
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| Tue, Mar 17 | Lecture 17Joint densities |
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| Thu, Mar 19 | Lecture 18Independent normal and gamma variables |
Week 10
| Mon, Mar 23 | Spring Break
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| Tue, Mar 24 | Spring Break |
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| Thu, Mar 26 | Spring Break |
Week 11
| Mon, Mar 30 | LabLab 7A (due 4/6)
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| Tue, Mar 31 | Lecture 19Introduction to moment generating functions |
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| Thu, Apr 02 |
Exam
Midterm 2 (8-10 PM, Wheeler 150)
Lecture 20Moment generating functions; Chernoff bound |
Week 12
| Mon, Apr 06 | LabLab 7B (due 4/13)
HomeworkHomework 10 due 4/13
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| Tue, Apr 07 | Lecture 21MLE; Conditioning; MAP estimates |
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| Thu, Apr 09 | Lecture 22The beta and the binomial |
Week 13
| Mon, Apr 13 | LabLab 8 (due 4/20)
HomeworkHomework 11 due 4/20
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| Tue, Apr 14 | Lecture 23Prediction and Error |
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| Thu, Apr 16 | Lecture 24Variance by Conditioning |
Week 14
| Mon, Apr 20 | HomeworkHomework 12 due 4/27
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| Tue, Apr 21 | Lecture 25Random vectors; multivariate normal |
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| Thu, Apr 23 | Lecture 26Correlation and simple regression |
Week 15
| Mon, Apr 27 | HomeworkHomework 13 due 5/4
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| Tue, Apr 28 | Lecture 27Multiple regression 1 |
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| Thu, Apr 30 | Lecture 28Multiple regression 2 |
Week 16
| Mon, May 04 | RRR Week
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| Tue, May 05 | RRR Week: Gamma family review (Prof. A.) |
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| Thu, May 07 | RRR Week: TA review |
Week 17
| Mon, May 11 | Finals Week
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| Tue, May 12 | Finals Week |
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| Thu, May 14 |
Exam
Final Exam (3-6 PM)
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