ISE 5110
Transcript Abbreviation:
Des Eng Exp
Course Description:
Plan and analyze experiments relevant to system design. Also, students will learn regression and alternative approaches for on-hand data analysis.
Course Levels:
Undergraduate (1000-5000 level)
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: 4210; or Stat 3470 or equiv, and Grad standing.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 610 or IndEng 610.
Course Goals / Objectives:
Develop evidence based on parametric and nonparametric hypothesis testing
Plan and analyze economical experiments using standard screening experiments
Perform regression-based analysis including using response surface-based
Optimization to support system design decision-making
Perform system optimization in the presence of noise factors
Plan and analyze experiments involving human subjects
Plan and analyze computer experiments using nonlinear modeling techniques
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Hypothesis Testing. | 10.5 | 0.0 | 0.0 | 0 |
| Screening Experiments. | 10.5 | 0.0 | 0.0 | 0 |
| Response Surface Methods (RSM). | 10.5 | 0.0 | 0.0 | 0 |
| Advanced Topics: Robust Design and Nonlinear Modeling. | 10.5 | 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 |
|---|---|
| Quizzes | 60% |
| Project | 20% |
| Homework | 19% |
| Participation | 1% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Design and Analysis of Experiments | D. Montgomery |
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)