ISE 7720
Transcript Abbreviation:
CSE Models & Meth
Course Description:
Covers models of human-machine cognitive systems and methods to study of human-machine cognitive systems in complex work settings.
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:
On
Maximum Repeatable Credits:
9.00
Total Completions Allowed:
3.00
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: Grad standing.
Electronically Enforced:
No
Exclusions
(N/A)
Course Goals / Objectives:
Be able to analyze the multiple contributors to actual disasters
Be able to analyze typical misconceptions and fallacies about `error? prevalent among stakeholders
Understand the key factors that influence the quality of human performance
Understand how new technology changes the risks of failure
Understand the characteristics of high reliability organizations
Able to recognize and avoid the hindsight bias in analysis of accidents
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Introduction to Methods to Study Cognitive Systems in Context Field Observation techniques Knowledge elicitation techniques Protocol Analysis and Process Tracing techniques | 0.0 | 0.0 | 0.0 | 0 |
| How to design problems/scenarios for scaled work simulation studies Cognitive Task/Work Analysis methods Methods to envision the impact of new technology | 0.0 | 0.0 | 0.0 | 0 |
| Approaches for Modeling cognitive work systems Cognitive Simulations Artificial Intelligence models Multi-agent simulations and Adaptive system models | 0.0 | 0.0 | 0.0 | 0 |
| Supervisory control models Intent inferencing Modeling the impact of technology change | 0.0 | 0.0 | 0.0 | 0 |
| Integration: predicting errors or expertise, fragmentation or coordination, brittleness or resilience, clumsiness or affordance in cognitive work systems. | 0.0 | 0.0 | 0.0 | 0 |
| Total | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework | 20% |
| Exercises | 40% |
| Project | 40% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| No Textbooks and Other Course Materials Entered. | ||
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)