Information is subject to change.
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Drops and Refunds:
Students adhere to the drop and refund policies and deadlines of their home university.
Fall 2017 Course Information
Genetic Prediction

Course Description
The goal of this course is to increase student understanding of best linear unbiased prediction and to develop skills in genetic prediction. A wide array of material will be covered with emphasis on real-world datasets designed to develop applied analytical skills relative in animal breeding. Topics will include data integrity diagnosis, contemporary grouping strategies, adjusting for known non-genetic effects, the AWK Programming Language, UNIX/Linux scripting, and use of the Animal Breeder's Toolkit to perform genetic evaluations. Students will develop procedures for the utilization of various sources of information for the calculations of predictions of genetic merit in the form of estimated breeding values.
Contacts
Instructor

R. Mark Enns
Office: 970-491-2722
mark.enns@colostate.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

Not Required


Course Access
 
Approximately three weeks before the first day of class at Colorado State University, the CSU campus coordinator, Gayle Roslund, emails course access instructions to students for courses taught by CSU. Using these instructions, students create their Colorado State eID (electronic identity). Students meeting all deadlines for eID creation and submission will have access to RamCT by the first day of class.

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.

– – Jacy Phillips, University of Nebraska-Lincoln