EECS126
Download as PDF
Probability and Random Processes
Subject
EECS
Course Number
126
Course Level
Undergraduate
Course Title
Probability and Random Processes
Course 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.
Minimum
4
Maximum
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Ramchandran
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Prerequisite
Complete ALL of the following Courses:
Prerequisite
Familiarity with linear algebra.
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if the following the course(s) have already been completed.
-
Formats
Lecture, Discussion
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Minimum Hours
1
Maximum Hours
1
Outside Work Hours Min
8
Maximum Hours
8