ECE 7858
Transcript Abbreviation:
Intelligent Contrl
Course Description:
Fuzzy control, neural control, genetic algorithms, learning control, and distributed intelligent control.
Course Levels:
Graduate
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: 5551 (551) or equiv.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 858.
Course Goals / Objectives:
Teach techniques and design methods for fuzzy control, neural control, genetic algorithms, learning control, distributed intelligent control
Apply these techniques and methods to practical optimization and control problems
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Fuzzy control | 6.0 | 0.0 | 0.0 | 0 |
| Neural networks and neural control | 6.0 | 0.0 | 0.0 | 0 |
| Planning and attentional systems | 6.0 | 0.0 | 0.0 | 0 |
| Learning control | 12.0 | 0.0 | 0.0 | 0 |
| Distributed intelligent control | 12.0 | 0.0 | 0.0 | 0 |
| Total | 42 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework | 40% |
| Midterm project | 30% |
| Final project | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Biomimicry for Optimization, Control, and Automation (relevant, not required) | K. Passino |
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)