ISE 3230
Transcript Abbreviation:
Sys Mod Optim Anal
Course Description:
Introduction to formulation, solution and analysis of continuous and discrete linear and nonlinear models to optimize systems using data-driven techniques.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: Math 1152, 2568, and CSE 2231.
Electronically Enforced:
No
Exclusions:
Not open to ISE majors or to students with credit for 3200 or 3210.
Course Goals / Objectives:
Model problems with linear or nonlinear objective and constraints, and discrete and continuous decision variables.
Model and solve network flow problems
Use modeling and optimization software packages to model and solve linear, nonlinear, and mixed-integer programs and interpret their outputs.
Conduct sensitivity analysis
Recognize optimization problems that are convex and non-convex
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Linear Programming Models | 5.0 | 0.0 | 8.0 | 0 |
| Network Flow Models | 3.0 | 0.0 | 3.0 | 0 |
| Integer Programming Models | 3.0 | 0.0 | 3.0 | 0 |
| Nonlinear Programming Models | 6.0 | 0.0 | 6.0 | 0 |
| Convexity | 3.0 | 0.0 | 0.0 | 0 |
| Software | 3.0 | 0.0 | 6.0 | 0 |
| Sensitivity Analysis | 3.0 | 0.0 | 0.0 | 0 |
| Total | 26 | 0 | 26 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| homework/project | 30% |
| midter/quiz | 40% |
| final exam | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Introduction to Mathematical Programming: Applications and Algorithms | Wayne L. Winston and Munirpallam Venkataramanan |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
(N/A)
Embedded Literacies Info:
Attachments:
(N/A)
Additional Notes or Comments:
(N/A)
Basic Course Overview:
ISE_3230_basic.pdf
(9.99 KB)