ISE 5820
Transcript Abbreviation:
Systems Thinking
Course Description:
Concepts and heuristics in systems thinking and complex systems analysis and how these concepts apply to engineering and design projects.
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: Sr or Grad standing, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 688.
Course Goals / Objectives:
Learn the basic principles of systems thinking and complex systems
Learn how to apply systems of systems concepts to large scale projects
Learn basic concepts for modeling adaptive, co-evolving and self organizing systems
Learn to use systems thinking concepts to analyze safety issues in complex systems
Learn the steps in human systems integration
Learn the basic steps to manage complexity and avoid creeping complexity
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Introduction to History and Basic Systems Concepts | 3.0 | 0.0 | 0.0 | 0 |
| Control systems •Ashby’s law of requisite variety •Feedback control, feed-forward and stability •Anticipation, prediction and uncertainty •Supervisory control •Disturbances •How control systems fail | 3.0 | 0.0 | 0.0 | 0 |
| Complex systems •Coupling and interactive complexity •Partial decomposability •Boundary conditions •Surprise, side effects, revenge effects •complexity and cognitive systems | 6.0 | 0.0 | 0.0 | 0 |
| Distributed systems •Multi-agent systems •Joint (interdependent activity) •Abductive reasoning and distributed cognition •Managing uncertainty •Managing common pool resources •Goal conflicts •Role of rules in systems | 4.0 | 0.0 | 0.0 | 0 |
| Adaptive and co-adaptive systems •Agent fitness in an environment •Resilience and brittleness •Fundamental trade-offs •How adaptive systems fail •Cross-bid systems •Self-organizing systems | 6.0 | 0.0 | 0.0 | 0 |
| Functional analysis and modeling of complex goal-directed systems •Goal-means decomposition •Fallacies in functional reasoning •Agent-based modeling | 6.0 | 0.0 | 0.0 | 0 |
| Resilient Control Architectures •Control Architectures •Polycentric control •Human Systems Integration •Architectural test cases: Modifying plans in progress, Refocusing in changing situations | 4.0 | 0.0 | 0.0 | 0 |
| Case Studies •Market design failures •Creeping complexity in design projects •Disaster response breakdowns •Financial system crashes •Sustainability and life cycle challenges •Major accidents and proactive safety management | 6.0 | 0.0 | 0.0 | 0 |
| Integration •Managing complexity •What does ‘systems of systems’ mean •Integrative Exercise: robotic system design as a systems of system problem •Review of fundamental principles of systems thinking and how to manage complexity | 4.0 | 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 and class participation | 20% |
| Exercises | 50% |
| Exams | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Origin of Wealth: Evolution, Complexity, and the Radical Remaking of Economics | Beinhocker | |
| Complexity: A Guided Tour | Mitchel | |
| Course readings | Various |
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)