CIVILEN 7770
Transcript Abbreviation:
Infra Syst Analys
Course Description:
Presents a systems approach to infrastructure provision and management with a focus on the uncertainty inherent to large-scale and long-lived facilities.
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: Grad standing, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 777.
Course Goals / Objectives:
Understand systems concepts and the role of mathematical modeling in infrastructure analysis and management
Develop the ability to analyze open-ended technical problems reflecting the various stages of managing complex infrastructure systems including data collection, condition forecasting, and decision-making
Develop the skills to work with data sets in developing modeling and decision-making solutions to actual problems
Recognize that the state-of-the-art is evolving and that they, as students, are potential contributors to the development of the field
Develop effective report writing skills
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Overview of infrastructure policy-making, planning, and management | 2.0 | 0.0 | 0.0 | 0 |
| Cost benefit analysis | 8.0 | 0.0 | 0.0 | 0 |
| Data collection and measurement errors | 8.0 | 0.0 | 0.0 | 0 |
| Spatial segmentation, condition indicators and assessment | 6.0 | 0.0 | 0.0 | 0 |
| Deterioration process and modeling | 8.0 | 0.0 | 0.0 | 0 |
| Maintenance effectiveness modeling | 4.0 | 0.0 | 0.0 | 0 |
| Maintenance decision-making objectives and optimization methods | 6.0 | 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 |
|---|---|
| Aggregate assignments | 45% |
| Exam | 50% |
| Participation | 5% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Engineering Economic Principles, McGraw-Hill | Steiner, H.M. | |
| Econometric Models and Economic Forecasts, McGraw-Hil | Pindyck, R.S., and Rubinfeld, D.L. |
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)