EECS126

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EECS 126 - Probability and Random Processes

Electrical Engineering and Computer Sciences Undergraduate COE - College of Engineering

Subject

EECS

Course Number

126

Department

Electrical Engineering and Computer Sciences

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 Units

4

Maximum Units

4

Repeat Rules

Course is not repeatable for credit.

Grading Basis

Default Letter Grade; P/NP Option

Instructors

Ramchandran

Prerequisites

COMPSCI 70 preferred but not required; Familiarity with linear algebra.

Credit Restriction Courses

-

Credit Restrictions

Students will receive no credit for EECS 126 after completing EE 126.

Term

Fall and Spring

Lecture Hours

3

Discussion Hours

1