MECHENG 7761
Transcript Abbreviation:
Optimum Design
Course Description:
Application of optimization techniques to mechanical systems and structures. The structures considered will typically be high performance structures such as in aircraft and spacecraft.
Course Levels:
Graduate (5000-8000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
Cross-listed in AAE 7844.
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: Sr standing, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 761 or AAE 7844 (844).
Course Goals / Objectives:
Be able to formulate an optimization problem from a general technical description of the problem
Understand the classical approaches to optimization
Understand standard common mathematical programming approaches to nonlinear optimization with and without constraints
Understand the simplex method and be able to solve linear programming problems
Understand and be able to solve problems in robust design optimization
Be able to solve problems in topology shape optimization
Understand the application of calculus of variations to optimum design
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| Introduction to optimum design | 0.0 | 0.0 | 0 | 0.0 | 0 |
| Classical theory of optimization | 0.0 | 0.0 | 0 | 0.0 | 0 |
| Mathematical programming methods with no constraints | 0.0 | 0.0 | 0 | 0.0 | 0 |
| Mathematical programming methods with constraints | 0.0 | 0.0 | 0 | 0.0 | 0 |
| Robust design optimization | 0.0 | 0.0 | 0 | 0.0 | 0 |
| Introduction to topology shape optimization | 0.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Midterm Exam | 20% |
| Homework | 30% |
| Projects | 20% |
| Final Exam | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Introduction to Optimum Design | Arora |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
(N/A)
Embedded Literacies Info: