ISE 2010
Transcript Abbreviation:
Systems Modeling
Course Description:
Mathematical modeling of mechanical, social, and biological systems, with applications; use of modeling software.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Elective
Required
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:
3.00
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: CSE 1222 and Differential Equations. Concur: Linear Algebra, and Soph standing in Engineering or NMS.
Electronically Enforced:
No
Exclusions
(N/A)
Course Goals / Objectives:
Recognize that dynamic systems occur in a variety of applications, and will be able to apply common mathematical methods to their solutions
Distinguish alternative systems archetypes, (discrete time, continuous time, discrete event, and hybrid systems)
Gain an understanding of basic numerical methods for simulating deterministic dynamic systems in a variety of contexts
Be proficient in the use of Systems Dynamics software, such as iThink, to model dynamics of modern business applications
Be proficient in using Matlab and Simulink to model dynamic engineering and biological systems
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Review of differential and difference equations | 3.0 | 0.0 | 2.0 | 0 |
| Principles of systems | 3.0 | 0.0 | 2.0 | 0 |
| Numerical integration | 3.0 | 0.0 | 2.0 | 0 |
| Closed loop feedback systems: first order systems | 3.0 | 0.0 | 2.0 | 0 |
| First order systems: mechanical and electrical analogs | 3.0 | 0.0 | 2.0 | 0 |
| First order systems: examples from biology and economics. | 3.0 | 0.0 | 2.0 | 0 |
| Closed loop feedback systems: second order systems | 3.0 | 0.0 | 2.0 | 0 |
| Second order systems: mechanical and electrical systems | 3.0 | 0.0 | 2.0 | 0 |
| System dynamics: stocks and flows | 3.0 | 0.0 | 2.0 | 0 |
| Discrete event systems | 3.0 | 0.0 | 2.0 | 0 |
| Examples in logistics | 3.0 | 0.0 | 2.0 | 0 |
| Examples in biological systems | 3.0 | 0.0 | 2.0 | 0 |
| Complex adaptive systems | 3.0 | 0.0 | 2.0 | 0 |
| Total | 39 | 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 | 20% |
| Midterms | 30% |
| Lab projects | 30% |
| Final exam | 20% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| System Dynamics | Palm | |
| Modeling the Environment | Ford | |
| Matlab: An Introduction with Applications | Gilat |
ABET-CAC Criterion 3 Outcomes
(N/A)
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)