Spring 2023
EECS 126 001 - LEC 001
Probability and Random Processes
Thomas A Courtade
Class #:28707
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
47
Enrolled: 214
Waitlisted: 0
Capacity: 261
Waitlist Max: 100
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.
Final Exam
THU, MAY 11TH
03:00 pm - 06:00 pm
Evans 10
Dwinelle 145
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