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Graduate Course Proposal Form Submission Detail - ISM7406
Tracking Number - 4908

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Current Status: Approved by SCNS - 2014-11-01
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: for DBA. Needs proposed number. Emailed 2/12/14; 5/9/14. To Chair. Appd 5/19/14. to USF 5/20/14; to SCNS 5/28/14. Nmbr 7405 approved as 7406. Effective 11/1/14


Detail Information

  1. Date & Time Submitted: 2014-01-29
  2. Department: Information Systems and Decision Sciences
  3. College: BA
  4. Budget Account Number: 142600
  5. Contact Person: T. Grandon Gill
  6. Phone: 46755
  7. Email: grandon@usf.edu
  8. Prefix: ISM
  9. Number: 7406
  10. Full Title: Business Analytics
  11. Credit Hours: 3
  12. Section Type: D - Discussion (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?: N
  17. If repeatable, how many times?: 3
  18. Abbreviated Title (30 characters maximum): Business Analytics
  19. Course Online?: O - Online (100% online)
  20. Percentage Online: 30
  21. Grading Option: R - Regular
  22. Prerequisites:
  23. Corequisites:
  24. Course Description: A research course for executives that presents an overview of data analytics techniques as well as examples of analytics research in business. A variety of analytics technique including structured data, unstructured data and big data will be discussed.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Needed for new program/concentration/certificate
  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? The course is offered as part of a cohort-based program, with demand being based solely on cohort size.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Doctorate in Business or an equivalent degree.
  29. Objectives: The course will provide students with: (1) exposure to current techniques in analytics (2) research examples of using analytics in business (3) situations where the new set of analytics techniques can be beneficial and (4) critical thinking required to understand the power and limitations of analytics.
  30. Learning Outcomes: Upon completion of the course students should be able to (1)

    describe and apply various techniques for data analytics (2)

    describe in detail different kinds of research examples in

    business analytics (3) design research that employs analytics to

    solve important business problems.

  31. Major Topics: Course topics will include (1) overview of analytics and business intelligence (2) examples of business analytics (3) analytics techniques for structured data (4) analytics techniques for unstructured data (5) big data and its applications (6) research examples of analytics
  32. Textbooks: A specific textbook will not be used in the course.
  33. Course Readings, Online Resources, and Other Purchases: Students will be provided chapters and readings from

    different sources.

  34. Student Expectations/Requirements and Grading Policy: Grading in the course will normally be based upon student

    preparation and class participation.

  35. Assignments, Exams and Tests: Reading assignments, projects, graded class participation and any additional activities deemed appropriate by the instructor.
  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: The Executive Doctoral Committee establishes procedures for incomplete or failed courses for each cohort.
  38. Program This Course Supports: Executive Doctorate in Business
  39. Course Concurrence Information:


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