Spring 2021
EECS 126 202 - DIS 202
Probability and Random Processes
Alan He, Catherine Huang, Clark Wang, Kevin Lin, Aditya Rohan Sengupta
Jan 19, 2021 - May 07, 2021
Fr
09:00 am - 09:59 am
Internet/Online
Class #:28633
Units: 4
Instruction Mode:
Pending Review
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled: 31
Waitlisted: 0
Capacity: 31
Waitlist Max: 30
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Alan He
Other classes by Catherine Huang
Other classes by Clark Wang
Other classes by Kevin Lin
Other classes by Aditya Rohan Sengupta
Course Catalog Description
This course covers the fundamentals of probability and random processes useful in fields such as networks, communication, signal processing, and control. Sample space, events, probability law. Conditional probability. Independence. Random variables. Distribution, density functions. Random vectors. Law of large numbers. Central limit theorem. Estimation and detection. Markov chains.
Rules & Requirements
Credit Restrictions
Students will receive no credit for EECS 126 after completing EE 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