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Graduate Course Proposal Form Submission Detail - GMS6102
Tracking Number - 1601

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Current Status: Approved, Permanent Archive - 2008-06-09
Submission Type:
Course Change Information (for course changes only):

Detail Information

  1. Date & Time Submitted: 2008-02-14
  2. Department: Molecular Pharmacology & Physiology
  3. College: MD
  4. Budget Account Number: USF01HSC6101-001-0000
  5. Contact Person: Eric Bennett
  6. Phone: 9741545
  7. Email:
  8. Prefix: GMS
  9. Number: 6102
  10. Full Title: Experimental Design and Analysis
  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): Experimental Design
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites: B.S./B.A. and admission into the Ph.D. Program at the University of South Florida College of Medicine. Instructor permission required for those not meeting these prerequisites.
  23. Corequisites:
  24. Course Description: A focused course designed to introduce students to the scientific method, experimental designs, approaches, and analyses that are essential to the modern biomedical research scientist. The course is restricted to majors and is not repeatable.

  25. Please briefly explain why it is necessary and/or desirable to add this course: The Ph.D. in Medical Sciences is a research intensive program that demands students understand and practice the scientific method. Vital to this is an ability to design experiments that will adequately address biomedical questions and hypotheses, includi
  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? This course will become part of the required sequence of courses for all entering students in the Ph.D. Program in Medical Sciences. There is potential that this course might serve other Ph.D. programs at the University such as the Cancer Biology Ph.D. program.
  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.) All instructors have M.D. and/or Ph.D. degrees in the biomedical sciences.
  29. Objectives: This course will serve as an introductory course to research designs and analyses frequently encountered in the biomedical sciences.
  30. Learning Outcomes: By the end of the course, students will be expected to attain the following:

    1) Familiarity with statistical nomenclature encountered in scientific literature.

    (2) A minimum level of competency in identifying the different types of research designs and the appropriate statistical analysis for each.

    (3) A minimum knowledge of interpreting output from statistical programs.

  31. Major Topics: Major course topics include the following:

    1. Basic vs Applied Research

    2. Experimental vs Non-experimental designs

    3. The scientific method

    4. Issues on Subjects

    5. Ethics of research

    6. Sources of research bias

    7. Searching for references

    8. Identifying the research question design collection analysis


    13. Experimental Design

    a. Variables

    b. External vs. internal validity

    c. Reliability

    d. Principles of measurement

    e. Characteristics of true experiments

    f. Pre-experimental designs

    g. True experimental designs

    h. Quasi-experimental designs

    i. Non-experimental designs

    14. Analyses

    a. Descriptive statistics for observational/ exploratory research

    b. Inferential statistics for pre-experimental and true experimental designs

    c. The T-test

    d. The Analysis of Variance

    e. Multiple Comparison Tests

    f. Correlation

    g. Linear Regression

    h. Multple Regression

    i. Time- series

    j. Multivariate analysis

    15. Sample Experimental design and analyses on the following areas in the biomedical sciences:

    a. qPCR

    b. DNA gel electrophoresis

    c. SDS-PAGE

    d. Gene Microarray

    e. Proteomics

    f. In vitro cell biology

    g. Animal Drug Studies

    h. Behavioral Studies

  32. Textbooks: "Basic and Clinical Biostatistics", by Dawson and Trapp (3rd or 4th ed)
  33. Course Readings, Online Resources, and Other Purchases:
  34. Student Expectations/Requirements and Grading Policy:
  35. Assignments, Exams and Tests:
  36. Attendance Policy:
  37. Policy on Make-up Work:
  38. Program This Course Supports:
  39. Course Concurrence Information:

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