MCMC Methods in Animal Breeding
||North Carolina State University
||1 credit hours - $580 per credit
||March 23, 2020 - April 24, 2020
This course will introduce students to computational techniques based on simulations that have become a staple in the field of animal breeding (and beyond) over the last 20 years. An overview of the most popular Monte Carlo methods will be provided to the students with an emphasis on hands-on reproducible examples developed through the R software. Minimal exposure to the R programming language will be required while no previous exposure to Monte Carlo methods is required. While a few examples in the class will be set in a Bayesian framework, no previous exposure to Bayesian statistics is required.
Prerequisites: An Introduction to R Programming; Genetic Prediction
For course access questions, contact the teaching university’s campus coordinator. For enrollment questions, contact your home university campus coordinator.
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Disability Support Services
To request accommodations for this course, contact the disability support office at your home university. You must register each semester and for each course. Read more about the Great Plains IDEA process for requesting accommodations.
About three weeks before NCSU first day of class (or, if it is close to the start of classes, as soon as the student signs up), campus coordinator Breanna Collins
will email individual students a welcome letter with his/her campus Unity ID, student ID number and temporary password. The email also includes log in instructions for .
This course does not require an exam proctor.
This course does not include synchronous components.