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Graduate Course Proposal Form Submission Detail - URP6201
Tracking Number - 2383

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Current Status: Approved by SCNS - 2013-07-01
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only): N/A
Comments: to GC for MURP Changes; GC approved 2/7/13, to USF Sys 2/20/13. to SCNS 2/28/13. Apprd eff 5/1/13. Nmbr 6236 apprd as 6201


Detail Information

  1. Date & Time Submitted: 2010-10-12
  2. Department: Geography and Environmental Science and Policy
  3. College: AS
  4. Budget Account Number: 20791
  5. Contact Person: Ambe J. Njoh
  6. Phone: 8139747459
  7. Email: njoh@usf.edu
  8. Prefix: URP
  9. Number: 6201
  10. Full Title: Quantitative Analysis in Urban & Regional Planning
  11. Credit Hours: 3 cr.
  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?: N
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Quant. Analysis in URP
  19. Course Online?: C - Face-to-face (0% online)
  20. Percentage Online: 100
  21. Grading Option: R - Regular
  22. Prerequisites: URP 6232
  23. Corequisites: None
  24. Course Description: Focuses on quantitative analysis techniques and their application in urban and regional planning. Prerequisite: URP 6232.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Needed for accreditation
  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 required as part of the new program, Master of Urban & Regional Planning.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, 2 times
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Ph.D. and a demonstrated ability to conduct empirically-based quantitative research. Such an ability is expected to have been demonstrated through an extensive quantitative research record.
  29. Objectives: To teach students how to collect, access, analyze and interpret quantitative data in urban and regional planning.
  30. Learning Outcomes: Upon completing the course, students will be able to:

    1- read and understand quantitative research reports in peer-reviewed journals and cognate publications.

    2- Collect the data necessary for, and conduct, empirical research.

    3- Interpret and report the results of empirical research in urban planning in particular and the social sciences in general.

  31. Major Topics: - Research methods and design in urban planning;

    - Descriptive statistics in planning;

    - Computer applications in urban & regional planning;

    - Multivariate analysis;

    - Forecasing and projecting for futurist planning.

  32. Textbooks: 1. Berman, E.M. (2010). Essential Statistics for Public Managers and Policy Analysts. Washington, DC: CQ Press.

    2. Berman, E.M. (2010). Exercising Essential Statistics. Washington, DC: CQ Press.

  33. Course Readings, Online Resources, and Other Purchases: Online sources will comprise mainly web-base publications as allowed by copyright laws. Material of this nature will be posted as active links on Blackboard.
  34. Student Expectations/Requirements and Grading Policy: - Homework assignments: 20%;

    - 2 written projects based on empirical research independently conducted by the student: (30% x 2): 60%;

    - Oral presentation of research: 15%;

    - Class attendance: 5%.

  35. Assignments, Exams and Tests: COURSE OUTLINE:

    1. Introduction & Overview;

    2. Descriptive Statistics;

    3. Computers /electronic software in planning research;

    4. Reporting quantitative research results in planning;

    5. Techniques of data analysis;

    6. Empirical research and planning decisions;

    7. Multivariate analysis in planning research;

    8. Regression analysis in planning;

    9. Logistic analysis in planning;

    10. Forecasting/projecting in futuristic planning;

    11. Recapitulating and summarizing of semester's work.

    ASSIGNMENTS, EXAMS, & TESTS:

    There will be no in-class examinations or tests for the course. Each student will be required to complete 6 homework assignments of which 5 will count towards the student's final grade at 4 points a piece for a total of 20% of the course grade. The student will also be required to complete 2 empirical projects for a total of 60% of the course grade. In addition, each student will be required to make two oral presentations with the first one having a maximum 5% of the course grade, while the second one will account for a maximum of 10% of the course grade. Class attendance is mandatory with a perfect attendance record earning the student 5% of the course grade.

  36. Attendance Policy: Course attendance is mandatory and accounts for 5% of the student's final grade. Only one absence, which must be due to a documented emergency is permitted. An unauthorized absence, and/or up to two absences will result in the student earning no points for attendance. A total of more than two such absences will result in earning an 'F' for the course if dropping the course is not a possibility.
  37. Policy on Make-up Work: Each student shall be allowed one chance to re-do any assignment which he/she missed for an approved reason or for which he/she earned an unsatisfactory grade. Students are strongly advised to acquaint themselves with the University Policy on Academic Integrity. This narrative on this policy can be accessed electronically through the following lingk: http://www.grad.usf.edu/inc/linked-files/Integrity.pdf . The policy states that "Graduate students who are assigned an 'FF' grade will be academically discmissed from the University and shall not be eligible to apply for any graduate program at USF."
  38. Program This Course Supports: Master of Urban & Regional Planning.
  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.