2020 Fall
STAT 140 101 - DIS 101
Probability for Data Science
Anna Thuy Nhu Nguyen
Class #:25232
Units: 4
Instruction Mode:
Remote Instruction
Time Conflict Enrollment Allowed
Offered through
Statistics
Current Enrollment
Total Open Seats:
1
Enrolled: 31
Waitlisted: 0
Capacity: 32
Waitlist Max: 0
No Reserved Seats
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
- Undergraduate Students - Excludes Visiting Students
Credit Restrictions
Students who have earned credit for Stat 134 will not receive credit for Stat 140.
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