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Graduate Course Proposal Form Submission Detail - EEL6024

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Current Status: SCNS Liaison Notified of Graduate Council Approval - 2016-05-18
Campus: Tampa
Submission Type: Change
Course Change Information (for course changes only): 1. Change title from "Math for Communication" to "Matrix Theory and Optimization for Electrical Systems" 2. Change course description to the following: "Advanced matrix algorithms: LU and QR factorizations, least-squares, pseudoinverses. Eigen decomposition, Singular value decomposition. Optimization techniques: unconstrained and constrained optimization.
Comments: Elective for Elect. Eng. Form needs to be completed. Emailed 3/11/16. Updated. To GC Clarif repeatability needed. Emailed 5/11/16. Not repeatable. Approved 5/18/16. To USF Sys 5/18/16. to SCNS after 5/25/16. NOTE: EEL 6024 Exists as Matrix Theory


  1. Department and Contact Information

    Tracking Number Date & Time Submitted
    5398 2016-02-24
     
    Department College Budget Account Number
    Electrical Engineering EN 2106000
     
    Contact Person Phone Email
    Jessica Procko 46318 jprocko@usf.edu

  2. Course Information

    Prefix Number Full Title
    EEL 6024 Math for Communication

    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

    Credit Hours Section Type Grading Option
    3 L - Laboratory R - Regular
     
    Abbreviated Title (30 characters maximum)
    Math for Communication
     
    Course Online? Percentage Online
    B - Face-to-face and online (separate sections) 0

    Prerequisites

    Corequisites

    Course Description

    Advanced matrix algorithms: LU and QR factorizations, least-squares, pseudoinverses. Optimization methods.


  3. Justification

    A. Please briefly explain why it is necessary and/or desirable to add this course.

    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?

    Meets math course requirement

    C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?

    Yes, 3 or more times

    D. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.)

    Familiarity with MATLAB


  4. Other Course Information

    A. Objectives

    • Practice electrical engineering in a responsible and ethical manner in industry and government settings.

    • Possess the necessary communication and leadership skills to function effectively in a professional and multi-disciplinary environment.

    • Continue to develop professionally through life-long learning, advanced education, and other creative pursuits in science and technology.

    B. Learning Outcomes

    Students learn

    to use Gaussian elimination to perform LU factorization

    to use orthogonal transformations to perform QR factorization

    to calculate singular value decompositions and pseudoinverses

    to calculate eigenvalues and eigenvectors

    basic techniques of optimization

    C. Major Topics

    Matrix Methods

    Optimization

    D. Textbooks

    Applied Linear Algebra, P.J.Olver, C. Shakiban, Prentice-Hall Inc., 2006 (?). ISBN # 0-13-147382-4.

    E. Course Readings, Online Resources, and Other Purchases

    F. Student Expectations/Requirements and Grading Policy

    3 take home exams; 30%, 30%, 40%

    G. Assignments, Exams and Tests

    3 take home exams

    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,

    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.

    I. Policy on Make-up Work

    All make up work must be completed before the last week of the semester

    J. Program This Course Supports

    Electrical Engineering MSEE/PhD


  5. Course Concurrence Information

    Civil, Industrial, Chemical, Mechanical & Computer Engineering. Physics. Mathematics.



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