Graduate Course Proposal Form Submission Detail - ESI6420
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Approved, Permanent Archive
Submission Type: Change
Course Change Information (for course changes only):
Comments: COEN app 5/10/11; to GC 5/10/11; obj need revision. Emailed 6/28/11; corrected 6/30/11; GC approved 7/5/11. To USF Syst 7/5/11; to SCNS 7/13/11; GC approved 7/5/11. To USF Syst 7/5/11; to SCNS 7/13/11. Apprd eff 8/1/11
- Department and Contact Information
Tracking Number Date & Time Submitted 2470 2011-02-17 Department College Budget Account Number Industrial and Management Systems Engineering EN Contact Person Phone Michael Weng 9745575 firstname.lastname@example.org
- Course Information
Prefix Number Full Title ESI 6420 Non-Linear Programming Is the course title variable? N Is a permit required for registration? Y Are the credit hours variable? N Is this course repeatable? If repeatable, how many times? 0 Credit Hours Section Type Grading Option 3 C - Class Lecture (Primarily) R - Regular Abbreviated Title (30 characters maximum) Non-Linear Programming Course Online? Percentage Online C - Face-to-face (0% online) 0
General theory and characteristics of NLP, as well as effective solution algorithms that can be used to solve NLP problems and support effective management decision making.
A. Please briefly explain why it is necessary and/or desirable to add this course.
Replacing Selected Topics with Permanent number; already listed in program
B. 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?
10-15 per year
C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?
Yes, 2 times
D. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.)
- Other Course Information
To acquaint students with general theory, mathematical structures, and effective solution algorithms for nonlinear programming (NLP) problems, which are difficult but critical to decision making in practice.
B. Learning Outcomes
To understand various NLP models and solution algorithms to address these models.
To identify and develop NLP models to solve real world problems.
To use software to find solutions.
C. Major Topics
Convex sets and convex functions
Unconstrainted and constrainted Optimization
Penalty and barrior functions
Methods of feasible directions
Nonlinear Programming: Theory and Algorithms, by Bazaraa
E. Course Readings, Online Resources, and Other Purchases
F. Student Expectations/Requirements and Grading Policy
homework 40%, 2 exams, 30% each, or
homework 40%, 1 exams 30%, and 1 project, 30%.
G. Assignments, Exams and Tests
H. 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,
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.
I. Policy on Make-up Work
With instrudtor's approval.
J. Program This Course Supports
MEIS Ph.D. program
- Course Concurrence Information
All engineering Ph.D. programs