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

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Written Exam

Instructors

Ramchandran

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Prerequisites

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

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course after completing the course(s) below.

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Formats

Lecture, Discussion

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

3

Lecture Hours Min

3

Lecture Hours Max

3

Discussion Hours

1

Discussion Hours Min

1

Discussion Hours Max

1

Outside Work Hours

8

Outside Work Hours Min

8

Outside Work Hours Max

8