2021 Fall Course Info
Information is subject to change.
Please revisit this page again before the semester starts to make sure you have all the current information.
Drops and Refunds:
Students adhere to the drop and refund policies and deadlines of their home university.
Course Information
MCMC Methods in Animal Breeding
| University: | North Carolina State University |
| Course Number: | ANS 590-802 |
| Credit Hours: | 1 credit hours - $590 per credit |
| Start/End Dates: | March 29, 2021 - April 30, 2021 |
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.
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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.
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.
