EECS 401 - Probabilistic Methods in Engineering
Section: 001
Term: FA 2007
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
Credits:
4 (Non-LSA credit).
Requirements & Distribution:
BS
Enforced Prerequisites:
[EECS 216 or 306 (C>)] or Grad
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:
Momcilovic,Petar

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

EECS 401 - Probabilistic Methods in Engineering
Schedule Listing
001 (LEC)
 
10671
Open
6
 
-
MWF 9:30AM - 10:30AM
011 (DIS)
P
17371
Open
6
 
-
Tu 4:30PM - 5:30PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

No Syllabi are on file for EECS 401. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)