A mixed lecture and seminar-based course to introduce Statistics graduate students to statistical models and methods in Genetics and Genomics. Topics may include applications of statistical learning in: Quantitative Genetics, Population and Evolutionary Genetics, Computational Molecular Genetics, Human Genomics and Genetic Epidemiology. Prerequisite: STAT 450 or permission of the instructor.
A mixed lecture and seminar-based course to introduce Statistics graduate students to statistical models and methods in Genetics and Genomics. Topics may include applications of statistical learning in: Quantitative Genetics, Population and Evolutionary Genetics, Computational Molecular Genetics, Human Genomics and Genetic Epidemiology. Prerequisite: STAT 450 or permission of the instructor.
