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Graduate Course Proposal Form Submission Detail - ESI6420
Tracking Number - 2470

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Current Status: Approved, Permanent Archive - 2011-07-17
Campus: Tampa
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

Detail Information

  1. Date & Time Submitted: 2011-02-17
  2. Department: Industrial and Management Systems Engineering
  3. College: EN
  4. Budget Account Number:
  5. Contact Person: Michael Weng
  6. Phone: 9745575
  7. Email:
  8. Prefix: ESI
  9. Number: 6420
  10. Full Title: Non-Linear Programming
  11. Credit Hours: 3
  12. Section Type: C - Class Lecture (Primarily)
  13. Is the course title variable?: N
  14. Is a permit required for registration?: Y
  15. Are the credit hours variable?: N
  16. Is this course repeatable?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Non-Linear Programming
  19. Course Online?: C - Face-to-face (0% online)
  20. Percentage Online: 0
  21. Grading Option: R - Regular
  22. Prerequisites: ESI 6491
  23. Corequisites:
  24. Course Description: 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.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Replacing Selected Topics with Permanent number; already listed in program
  26. 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
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, 2 times
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Ph.D.
  29. Objectives: 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.
  30. 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.

  31. Major Topics: Convex sets and convex functions

    Unconstrainted and constrainted Optimization

    Lagrangian Duality

    Penalty and barrior functions

    Methods of feasible directions

  32. Textbooks: Nonlinear Programming: Theory and Algorithms, by Bazaraa
  33. Course Readings, Online Resources, and Other Purchases: Journal papers
  34. Student Expectations/Requirements and Grading Policy: homework 40%, 2 exams, 30% each, or

    homework 40%, 1 exams 30%, and 1 project, 30%.

  35. Assignments, Exams and Tests:
  36. 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: (

    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. Its 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.

  37. Policy on Make-up Work: With instrudtor's approval.
  38. Program This Course Supports: MEIS Ph.D. program
  39. Course Concurrence Information: All engineering Ph.D. programs

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