Graduate Studies Reports Access

Graduate Course Proposal Form Submission Detail - QMB6357
Tracking Number - 2999

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Current Status: Approved by SCNS - 2013-01-25
Campus: Sarasota
Submission Type: New
Course Change Information (for course changes only):
Comments: USF-SM approved 10/30/12. to Sys 12/6/12. Issues of concurrence. ISSUES Resolved . SCNS approved effective 3/1/13. Mnbr 6310 approved as 6357


Detail Information

  1. Date & Time Submitted: 2012-11-13
  2. Department: Information Systems and Decision Sciences
  3. College: BM
  4. Budget Account Number: 140700004
  5. Contact Person: Dr. Anurag Agarwal
  6. Phone: 9413594522
  7. Email: agarwala@sar.usf.edu
  8. Prefix: QMB
  9. Number: 6357
  10. Full Title: Statistics for Business Professionals
  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?: 0
  18. Abbreviated Title (30 characters maximum): Stats for Bus. Professionals
  19. Course Online?: B - Face-to-face and online (separate sections)
  20. Percentage Online: 0
  21. Grading Option: R - Regular
  22. Prerequisites: None
  23. Corequisites: None
  24. Course Description: This course covers the basic principles of Statistics as used by business professionals. Topics include descriptive statistics, hypothesis testing, analysis of variance, regression, time series models, non-parametric methods, statistical quality control.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Needed for program/concentration/certificate change
  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 demand of this course is determined by the demand for the certificate program in Business Analytics and Six-Sigma Quality. Many universities are offering new programs in Business Analytics because of the demand for such programs, which in turn is driven by the demand in the job market for skills in Business Analytics. There is also a growing demand for skills in Six-Sigma Quality.
  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.) None besides having a terminal degree in the discipline
  29. Objectives: - To learn various descriptive statistics tools and techniques in the context of business

    - To learn the basic principles of probability

    - To learn the basics of inferential statistics in the context of business

    - To learn statistical techniques such as regression analysis, time series models, non-parametric methods and statistical quality control methods.

  30. Learning Outcomes: Students will demonstrate:

    - the ability to solve a business problem using an appropriate statistical method

    - an understanding of several statistical tools and techniques used in business.

  31. Major Topics: - Descriptive statistics

    - Hypothesis testing

    - Analysis of variance

    - Regression

    - Time series models

    - Non-parametric methods

    - Statistical quality control

  32. Textbooks: Data Analysis and Decision Making, 4th Edition, by Albright, Winston and Zappe.

    South-Western, Cengage Learning, ISBN 978-0-538-47612-6

  33. Course Readings, Online Resources, and Other Purchases: At the discretion of the instructor, current readings will be assigned.
  34. Student Expectations/Requirements and Grading Policy: Participation in Discussions 25%

    Homework Assignments 25%

    Exam-1 (1st half of material) 25%

    Exam 2 (2nd half of material) 25%

  35. Assignments, Exams and Tests: There will be assignments worth 25% of the grade and two exams worth 50% of the grade.
  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: Under extreme medical circumstances and with documentation from the doctor’s office, missed exams may be made up if feasible and at the discretion of the instructor.
  38. Program This Course Supports: Certificate program in “Business Analytics” and “Lean Operations and Six Sigma”
  39. Course Concurrence Information: None at this point


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