STATISTICAL METHODS IN BIOINFORMATICS
UT course #: BIPG 5200/7200 - 3 cr
Prerequisites: PUBH532 - Statistical Methods I (or equivalent, or permission of course director)
Offered: Fall Semester, Tuesdays/Thursdays. Lectures posted online/Blackboard.
Course director: Dr. Sadik Khuder, Department of Medicine, (419) 383-6244, Sadik.Khuder@utoledo.edu
Summary: This course introduces students to statistical methods commonly used in bioinformatics, but which are not covered in depth in general introductory statistics courses. Students will learn to use statistical programs and related bioinformatics resources locally and over the internet. Lectures and lab discussion will emphasize the statistical models and methods underlying computational tools. The course will focus on application of newer statistical methods, and the reasoning behind these applications. Emphasis will be placed on the analysis of functional genomic experiments, and students will learn statistical techniques used to interpret microarray data. Specific course objectives include:
1. Have a strong understanding of fundamental concepts of the statistics that underlie bioinformatics;
2. Understand the formulation of stochastic models for genomic data;
3. Be able to apply statistical techniques to analyze microarray data and interpret the results generated;
4. Be able to use statistical tests commonly employed in bioinformatics;
5. Be familiar with statistical methods and software for solving complex problems in bioinformatics.
6. Interpret the statistical results as reported in the bioinformatics literature.
Full course syllabus can be found here
Grading: The course grade will be determined by assignments (30%), semester project (20%), and final exam (50%).
Instruction: The course is primarily taught by the course director, with some lectures
from other faculty at UT.
Required texts: There is no required text for this course. All required materials will be available on the course web site. Readings will consist of original literature, review articles, and R based books (available free online).
END-OF-COURSE STUDENT EVALUATION FORM
After completion of the Statistical Methods course, please click on the above link, print out the Evaluation Form, complete and return anonymously to:
Jo Anne Gray
3rd Floor CCE Building
Mail Stop: 1034