IOE 310 - Introduction to Optimization Methods
Section: 001
Term: WN 2009
Subject: Industrial and Operations Engineering (IOE)
Department: CoE Industrial and Operations Engineering
Credits:
4 (Non-LSA credit).
Requirements & Distribution:
BS
Enforced Prerequisites:
MATH214&IOE202&ENGR101 (C->)
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:

Introduction to deterministic models with emphasis on linear programming; simplex and transportation algorithms, engineering applications, relevant software, introduction to integer, network and dynamic programming, critical path methods.

IOE 310 - Introduction to Optimization Methods
Schedule Listing
001 (LEC)
 
10922
Open
25
 
-
MW 1:30PM - 3:00PM
002 (LAB)
P
10923
Closed
0
 
-
Th 9:30AM - 10:30AM
003 (LAB)
P
10924
Open
15
 
-
Th 10:30AM - 11:30AM
004 (LAB)
P
10925
Closed
0
 
-
Th 12:00PM - 1:00PM
005 (LAB)
P
10926
Closed
0
 
-
Th 1:00PM - 2:00PM
006 (LAB)
P
10927
Open
3
 
-
Th 2:00PM - 3:00PM
007 (LAB)
P
10928
Open
7
 
-
Th 3:00PM - 4:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 0534359647
Introduction to mathematical programming : operations research., Author: Wayne L. Winston, Munirpallam, Publisher: Duxbury 4th ed. 2003
Required
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 IOE 310. 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)