EECS 301 - Probabilistic Methods in Engineering
Fall 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
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Details

Credits:
4 (Non-LSA credit).
Requirements & Distribution:
BS
Advisory Prerequisites:
Preceded or Accompanied by EECS 216.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

Basic concepts of probability theory. Random variables: discrete, continuous, and conditional probability distributions; averages; independence. Statistical inference: hypothesis testing and estimation. Introduction to discrete and continuous random processes.

Schedule

EECS 301 - Probabilistic Methods in Engineering
Schedule Listing
001 (LEC)
 In Person
21170
Closed
0
 
1
MW 9:00AM - 10:30AM
Note: STUDENTS ARE AUTO-ENROLLED IN LECTURE WHEN THEY ELECT A DISCUSSION.
011 (DIS)
 In Person
21171
Closed
0
 
1
F 10:30AM - 11:30AM
012 (DIS)
 In Person
23843
Closed
0
 
-
F 2:30PM - 3:30PM

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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