2020 Fall
EECS 126 001 - LEC 001
Probability and Random Processes
Shyam Pramod Parekh
Aug 26, 2020 - Dec 11, 2020
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:28218
Units: 4
Instruction Mode:
Flex--See class note details
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
50
Enrolled: 141
Waitlisted: 0
Capacity: 191
Waitlist Max: 75
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
WED, DECEMBER 16TH
08:00 am - 11:00 am
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.
Class Notes
Lecture for this class will be offered remotely only.
The mode of instruction for discussions is still under review. If approved for a flexible mode of instruction, all enrolled students will be notified via email.
The mode of instruction for discussions is still under review. If approved for a flexible mode of instruction, all enrolled students will be notified via email.
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