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Graduate Course Proposal Form Submission Detail - EEL6025
Tracking Number - 5110

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Current Status: Approved by SCNS - 2015-04-01
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only): Give a permanent number
Comments: For Elect Eng. - Elective. Repeatable 3 times; GC appd 2/11/15. To USF Sys 2/27/15. Approved effective 4/1/15


Detail Information

  1. Date & Time Submitted: 2014-10-21
  2. Department: Electrical Engineering
  3. College: EN
  4. Budget Account Number: 210600
  5. Contact Person: Jessica Procko
  6. Phone: 46318
  7. Email: jprocko@usf.edu
  8. Prefix: EEL
  9. Number: 6025
  10. Full Title: Math I for Professionals
  11. Credit Hours: 1
  12. Section Type: O - Other
  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?: Y
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Math I for Professionals
  19. Course Online?: O - Online (100% online)
  20. Percentage Online: 0
  21. Grading Option: R - Regular
  22. Prerequisites: MAP 2302
  23. Corequisites:
  24. Course Description: Complex analysis: complex algebra, phasors description of circuits.

    Optimization theory: linear and nonlinear programming, Kuhn-Tucker conditions.

  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? All students in the MSEE-P program are required to take this course.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, 3 or more times
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) PhD in mathematics, physics, or engineering
  29. Objectives: Characterize the mathematical description and manipulation of various aspects of electrical power management.

    Master the classical optimization techniques for linear, nonlinear, and multidimensional systems.

  30. Learning Outcomes: After successful completion of this course students will be able to mathematically manipulate the various relationships and tradeoffs involved in power systems design, and calculate optimal parameter levels for a broad class of systems objectives.
  31. Major Topics: One-dimensional and multidimensional optimization, constraints. (Fibonacci search, linear programming, gradient and conjugate gradient algorithms, Krushal-Kuhn-Tucker-John conditions.) Complex algebra, frequency domain, phasors, conformal mapping
  32. Textbooks: Optimization Theory: A Companion Guide (E-book), A. D. Snider, Kindle Direct Publishing, 2013 (ISBN 978-0-9898761-1-7) (ASIN: B00EVYG4TM)

    Fundamentals of Complex Analysis, 3rd edition, E B Saff & A D Snider, Pearson, 2003 (ISBN 0-13-907874-6)

  33. Course Readings, Online Resources, and Other Purchases: none
  34. Student Expectations/Requirements and Grading Policy: About 20 assignments equally weighted. Grade based on percentage worked correctly.
  35. Assignments, Exams and Tests: All 20 assignments should be completed correctly.
  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,

    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. 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: Allowances will be made for late assignments.
  38. Program This Course Supports: Electrical Engineering MSEE-P
  39. Course Concurrence Information: none


- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.