statistical methods in bioinformatics
UToledo 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.
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).
FULL COURSE SYLLABUS (PDF format)
STUDENT LEARNING OBJECTIVES (SLO's) for the Statistical Methods in BPG
