2019 Fall
EECS 126 001 - LEC 001
Probability and Random Processes
Shyam Pramod Parekh, Kannan Ramchandran
Class #:28293
Units:4
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
69
Enrolled: 168
Waitlisted: 0
Capacity: 237
Waitlist Max: 100
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials, 8 hours of outside work hours, and 1 hours of the exchange of opinions or questions on course material.
Final Exam
WED, DECEMBER 18TH
08:00 am - 11:00 am
Evans 10
Birge 50
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