2024 Fall
DATA C140 001 - LEC 001
Formerly Statistics 140
Probability for Data Science
Ani Adhikari
Class #:24961
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
-5
Enrolled: 405
Waitlisted: 0
Capacity: 400
Waitlist Max: 0
No Reserved Seats
Hours & Workload
2 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, 7 to 8 hours of outside work hours per week, 0 to 1 hours of review of material presented in class lectures or review of laboratory sections. unit credit not awarded. attendance not required. per week, and 0 hours of extra meetings for the review or elaboration of course materials per week., 3 hours of instructor presentation of course materials per week, 7 to 8 hours of outside work hours per week, 0 to 1 hours of review of material presented in class lectures or review of laboratory sections. unit credit not awarded. attendance not required. per week, 1 hours of extra meetings for the review or elaboration of course materials per week, and 1 hours of the exchange of opinions or questions on course material per week.
Final Exam
TUE, DECEMBER 17TH
03:00 pm - 06:00 pm
Wheeler 150
Other classes by Ani Adhikari
Course Catalog Description
An introduction to probability, emphasizing the combined use of mathematics and programming. Discrete and continuous families of distributions. Bounds and approximations. Transforms and convergence. Markov chains and Markov Chain Monte Carlo. Dependence, conditioning, Bayesian methods. Maximum likelihood, least squares prediction, the multivariate normal, and multiple regression. Random permutations, symmetry, and order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
Rules & Requirements
Requisites
- DATA/COMPSCI/INFO/STAT C8, or both STAT 20 and one of COMPSCI 61A or COMPSCI/DATA C88C with C- or better, or Pass; and one year of calculus at the level of MATH 1A-1B or higher, with C- or better, or Pass. Corequisite: MATH 54, MATH 56, EECS 16B, MATH 110 or equivalent linear algebra (C- or better, or Pass, required if completed prior to enrollment in Data/Stat C140).
Credit Restrictions
Students will receive no credit for STAT C140 after completing STAT 134, or EECS 126.
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