BMI 5332 Statistical Analysis of Genomic Data

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based and classroom instruction
Prerequisites: BMI 5330 and BMI 5352
Lab Fee: $30

Course Description
This course provides students practical skills and statistical concepts and methods that underlie the analysis of high-dimensional genomic and Omics big data generated by high throughput technologies. It will also address issues related to the experimental design and implementation of these technologies. Lectures will often be delivered with live demonstrations. Students will engage in practical problem solving sessions. The R language will be used for programming throughout the course.

Learning Objectives
Upon successfully completing this course, students will:

• Explain the theoretical foundations of statistical methods used in genomics studies.
• Select appropriate techniques and methods and apply them to the processing and analyses of data from genomics studies.
• Demonstrate hands-on analytic skills for high-dimensional genomics data analysis.
• Develop high-quality oral, written and other scientific reports.