2022 Fall
DATA C140 999 - DIS 999
Formerly Statistics 140
Probability for Data Science
Class #:25742
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
299
Enrolled: 0
Waitlisted: 0
Capacity: 299
Waitlist Max: 0
No Reserved Seats
Also offered as:
DATA C140
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, 1 hours of extra meetings for the review or elaboration of course materials per week, and 2 hours of the exchange of opinions or questions on course material per week.
Course Catalog Description
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
Rules & Requirements
Requisites
- Statistics/Computer Science/Information C8, or Statistics/Computer Science C100, or both Stat 20 and Computer Science 61A; and one year of calculus at the level of Mathematics 1A-1B or higher. Corequisite: Mathematics 54, Electrical Engineering 16A, Statistics 89A, Mathematics 110 or equivalent linear algebra.
Credit Restrictions
Students will receive no credit for STAT C140 after completing STAT 134. A deficient grade in STAT C140 may be removed by taking STAT 134.
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