Graduate Course Proposal Form Submission Detail - GMS6102
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- Department and Contact Information
Tracking Number Date & Time Submitted 1601 2008-02-14 Department College Budget Account Number Molecular Pharmacology & Physiology MD USF01HSC6101-001-0000 Contact Person Phone Eric Bennett 9741545 email@example.com
- Course Information
Prefix Number Full Title GMS 6102 Experimental Design and Analysis Is the course title variable? N Is a permit required for registration? N Are the credit hours variable? N Is this course repeatable? If repeatable, how many times? 0 Credit Hours Section Type Grading Option 3 C - Class Lecture (Primarily) R - Regular Abbreviated Title (30 characters maximum) Experimental Design Course Online? Percentage Online -
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.
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.
A. 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
B. 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.
C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?
D. 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.
- Other Course Information
This course will serve as an introductory course to research designs and analyses frequently encountered in the biomedical sciences.
B. 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.
C. 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
13. Experimental Design
b. External vs. internal validity
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
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
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:
b. DNA gel electrophoresis
d. Gene Microarray
f. In vitro cell biology
g. Animal Drug Studies
h. Behavioral Studies
"Basic and Clinical Biostatistics", by Dawson and Trapp (3rd or 4th ed)
E. Course Readings, Online Resources, and Other Purchases
F. Student Expectations/Requirements and Grading Policy
G. Assignments, Exams and Tests
H. Attendance Policy
I. Policy on Make-up Work
J. Program This Course Supports
- Course Concurrence Information