2020 Fall
DATA C102 001 - LEC 001
Formerly Statistics 102
Data, Inference, and Decisions
Michael Jordan, Jacob Noah Steinhardt
Aug 26, 2020 - Dec 11, 2020
Tu, Th
02:00 pm - 03:29 pm
Internet/Online
Class #:33319
Units: 4
Instruction Mode:
Remote Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science
Current Enrollment
Total Open Seats:
8
Enrolled: 242
Waitlisted: 1
Capacity: 250
Waitlist Max: 130
No Reserved Seats
Also offered as:
STAT C102
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, 1 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 1 hours of the exchange of opinions or questions on course material per week.
Final Exam
TUE, DECEMBER 15TH
08:00 am - 11:00 am
Other classes by Michael Jordan
Course Catalog Description
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
Class Notes
*Course will be offered remotely and lectures will be recorded. Students are encouraged to show up to the lecture at the scheduled time, but the only formal time conflict not allowed will be with the mid-term and final exam times.
*All labs will be remote but synchronous, discussions will have.. show more
*All labs will be remote but synchronous, discussions will have.. show more
*Course will be offered remotely and lectures will be recorded. Students are encouraged to show up to the lecture at the scheduled time, but the only formal time conflict not allowed will be with the mid-term and final exam times.
*All labs will be remote but synchronous, discussions will have two components:
-A fully remote video recording by a GSI going over the material, that can be viewed asynchronously.
-A synchronous Q&A section during the scheduled discussion time (synchronous, also remote).
-For lab and discussion, time conflicts are okay but students are advised that it may be harder to complete the lab if they don't attend the lab session. show less
*All labs will be remote but synchronous, discussions will have two components:
-A fully remote video recording by a GSI going over the material, that can be viewed asynchronously.
-A synchronous Q&A section during the scheduled discussion time (synchronous, also remote).
-For lab and discussion, time conflicts are okay but students are advised that it may be harder to complete the lab if they don't attend the lab session. show less
Rules & Requirements
Requisites
- Mathematics 54 or Mathematics 110 or Statistics 89A or Physics 89 or both of Electrical Engineering and Computer Science 16A and Electrical Engineering and Computer Science 16B; Statistics/Computer Science C100; and any of Electrical Engineering and Computer Science 126, Statistics 140, Statistics 134, Industrial Engineering and Operations Research 172. Statistics 140 or Electrical Engineering and Computer Science 126 are preferred.
Credit Restrictions
Students will receive no credit for DATA C102 after completing STAT 102, or DATA 102. A deficient grade in DATA C102 may be removed by taking STAT 102, STAT 102, or DATA 102.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials