Graduate Studies Reports Access

Graduate Course Proposal Form Submission Detail - EEL6514
Tracking Number - 3133

Edit function not enabled for this course.


Current Status: Approved by SCNS - 2013-10-11
Campus: Tampa
Submission Type: Change
Course Change Information (for course changes only): Assign permanent number to course
Comments: to GC 5/6/13 Elective. Approved. Cleared Syst Concurrence 7/31/13. to SCNS 8/5/13. Subm as 6562 approvedd as 6514 eff 9/1/13


Detail Information

  1. Date & Time Submitted: 2013-03-20
  2. Department: Electrical Engineering
  3. College: EN
  4. Budget Account Number: 210600
  5. Contact Person: Vijay Jain
  6. Phone: 8139744741
  7. Email: jain@usf.edu
  8. Prefix: EEL
  9. Number: 6514
  10. Full Title: Biomedical Image Processing
  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?: N
  15. Are the credit hours variable?: N
  16. Is this course repeatable?:
  17. If repeatable, how many times?:
  18. Abbreviated Title (30 characters maximum): Biomedical Image Proc
  19. Course Online?: B - Face-to-face and online (separate sections)
  20. Percentage Online: 10
  21. Grading Option: R - Regular
  22. Prerequisites:
  23. Corequisites:
  24. Course Description: 2D signal processing: image enhancement; edge detection and image segmentation. Medical imaging: 3D computerized tomography, magnetic resonance imaging; single photon emission computed tomography; positron emission tomography; radiographs.

  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? Biomedical Imaging and Image Processing are critical to diagnosis as well as therapy in modern medicine, and are provided by engineers and computer scientists in multiple environments such as clinics and research establishments. Also, this course complements the College’s BME program.
  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 EE
  29. Objectives: To familiarize the students with the principles and techniques of biomedical imaging, processing, and their applications. Modalities of interest: CT, MRI, PET, etc.
  30. Learning Outcomes: Principles and techniques of biomedical imaging, processing, and their applications. Modalities of interest: CT, MRI, PET, etc. An important parallel objective is for the engineering students to see opportunities for future improvements.
  31. Major Topics: Two dimensional signal processing: filtering, and transform techniques; interpolation, sampling structure conversion (resampling); image enhancement; edge detection and image segmentation. Medical imaging: 3D computerized tomography (CT), magnetic resonance imaging (MRI); single photon emission computed tomography (SPECT); positron emission tomography (PET); radiographs (digital); and other modalities such as 3D imaging, molecular imaging in the NIR and visible bands.
  32. Textbooks: Medical Imaging Systems, J. L. Prince and J. M. Links, Prentice-Hall, 2006.

    ISBN 0-13-065353-5.

  33. Course Readings, Online Resources, and Other Purchases: The course is supplemented from other sources, and extensive material is supplied to the students on USF BlackBoard.
  34. Student Expectations/Requirements and Grading Policy: Typically, one Final Exam, 60%, and a mid-term exam or a term paper at the choice of the class, 40%.
  35. Assignments, Exams and Tests: Homework problems, MATLAB assignments and example programs, a term paper at the option of the class, and exams as outlined in Section 11.
  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. 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.

  37. Policy on Make-up Work:
  38. Program This Course Supports: All three levels, but serious distinction is made among G and UG students in terms of the exams, the term paper, and the simulation assignments.
  39. Course Concurrence Information: Biomedical Engineering (BME)


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