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Spring 2020 Course Information
MCMC Methods in Animal Breeding

Course Description
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
Contacts
Instructor

Christian Maltecca
Office: 919-515-0812
cmaltec@ncsu.edu

Campus Coordinator

For course access questions, contact the teaching university’s campus coordinator. For enrollment questions, contact your home university campus coordinator.
View the Campus Coordinator Directory >>

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.


Textbooks

TBD


Course Access
 
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 .

Exam Proctor

This course does not require an exam proctor.

Synchronous Components

This course does not include synchronous components.

University Members
Members of the Great Plains IDEA are universities accredited by a regional accrediting agency recognized by the U.S. Department of Education. Member universities recruit, admit and graduate students, teach in an academic program and contribute to the leadership and maintenance of the alliance. Membership in the alliance is a selective process that engages institutional leadership at all levels.

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