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Viewing: INFR 4123 : Statistical Genetics

Last approved: Fri, 29 Jul 2016 08:05:19 GMT

Last edit: Sun, 24 Jul 2016 14:38:26 GMT

Catalog Pages referencing this course
Programs referencing this course
School of Medicine and Health Sciences
Clinical Research and Leadership (CRL)
INFR
4123
Statistical Genetics
Statistical Genetics
Fall 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade
bioinformatics majors
No
No
INFR 3101, INFR 3102 and INFR 3103
Corequisites

20
Dr. Keith Crandall
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Introduction to basic concepts in statistical genetics and molecular evolution.
As a result of completing this course, students will be able to: 1. Test hypotheses in statistical genetics, natural selection changes at the molecular level, and molecular evolution. 2. Analyze genetic data from a statistical and computational point of view. 3. Compare analytical software for genetic/genomic data through application and analysis of real data. 4. Create a statistical analysis approach to answer a biological question
Uploaded a Course Syllabus

Course Attribute


Key: 10448