Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - TTE5305
Tracking Number - 5408
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Current Status:
SCNS Liaison Notified of Graduate Council Approval - 2016-05-18
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: Elective for Civil Eng. To GC Approved 5/12/16 To USF Sys 5/18/16; to SCNS after 5/25/16
Detail Information
- Date & Time Submitted: 2016-02-29
- Department: Civil and Environmental Engineering
- College: EN
- Budget Account Number: 210400
- Contact Person: Qing Lu
- Phone: 8139745822
- Email: qlu@usf.edu
- Prefix: TTE
- Number: 5305
- Full Title: Infrastructure System Management
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?: N
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Infr Sys Mngmnt
- Course Online?: C -
Face-to-face (0% online)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites: EGN 3443
- Corequisites: None
- Course Description: This course introduces analytical methods for the management of infrastructure systems over their life, focusing on pavement. Topics covered include data measurement and sampling, performance modeling, and maintenance strategies. Graduate students only.
- Please briefly explain why it is necessary and/or desirable to add this course: Needed for program/concentration/certificate change
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? Students for the degree of MS in Environmental Engineering and Civil Engineering as well as the transportation concentration in the degree of PhD in Civil Engineering may take this to satisfy electives for their degrees.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, 3 or more times
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) PhD in Civil Engineering or related field.
- Objectives: Students will learn sampling, modeling and optimization methods and their application to performance prediction and maintenance decision making for the management of transportation infrastructure systems.
- Learning Outcomes: Students will demonstrate the ability to:
1) Develop performance models of transportation infrastructures by the phenomenological and statistical approach,
2) Apply analytical and modeling skills for conducting research in the area of infrastructure management, and
3) Manage a network of transportation infrastructure to optimize its performance at the minimum cost.
- Major Topics: 1)Transportation infrastructure performance, 2)Review of statistics, 3)Inspection including sampling, measurement errors, and error propagation, 4)Introduction to pavement engineering, 5)Review of regression analysis, 6)Joint deterioration and maintenance models, 7)Discrete probabilistic methods and deterioration models, 8)Data truncation and censoring; maintenance effectiveness models, 9)Stochastic duration models, 10) Markov chains and Markov decision theory; Probabilistic maintenance and rehabilitation (M&R) decision, and 11)Network level decision problems; Joint M&R and inspection decision problems.
- Textbooks: No textbook is required.
- Course Readings, Online Resources, and Other Purchases: H, H&U: Infrastructure Management, by W. Ronald Hudson, Ralph Hass, and Waheed Uddin, McGraw-Hill, 1997
P&R: Econometric Models and Economic Forecasts, by Robert S. Pindyck and Daniel L. Rubinfeld, Third Edition, McGraw-Hill, 1991
H&L: Introduction to Operations Research, by Gerald J. Lieberman, and Frederick S. Hillier, Eighth Edition, McGraw-Hill, 2005
The other references are journal articles available online, in the library, or from the course handouts.
- Student Expectations/Requirements and Grading Policy: 5 Homework assignments, each assignments 20%
(Class attendance is mandatory. Every unexcused absence will lower the course grade by one percentage point.)
- Assignments, Exams and Tests: There are five homework assignments, and no exams or tests. The solutions to the homework assignment must be neat, readable, and complete, and follow the style of a technical report or a journal paper. Late submission will be penalized by an amount equal to 10% of the maximum possible score for each day of delay.
- Attendance Policy: Course Attendance at First Class Meeting – Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation – Registration - 4.0101,
http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)
Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.
- Policy on Make-up Work: Adherence to all University Polices regarding academic misconduct, cheating, and plagiarism is required (see USF Regulation-3.02).
- Program This Course Supports: MS Civil Engineering, PhD Civil Engineering
- Course Concurrence Information: None
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.