2024 Fall Course Info
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.
Course Information
Applied Variance Component Estimation
| University: | Colorado State University |
| Course Number: | ANEQ 536 |
| Credit Hours: | 1 credit hours - $600 per credit |
| Start/End Dates: | October 31, 2022 - December 09, 2022 |
Course Description
This course will extend upon content covered in linear models and genetic prediction, with specific emphasis on estimation of (co)variance components and genetic parameters required to solve mixed models typical in livestock genetics. Upon successful completion of this course, students should have an applied knowledge of approaches used to estimate the G and R submatrices of the mixed model equations. Several tools will be used to demonstrate the models and approaches most commonly used in parameter estimation. Where appropriate, scientific literature that explains their implementation, and some attributes of the solutions obtained will be used. A general knowledge of linear models, matrix algebra, moment statistics, rules of expectation and familiarity with UNIX/Linux Operating Systems will be assumed, including scripting tools such as awk, octave, join, sort, paste, wc, etc. This course will begin in a somewhat historical manner, proceeding on to methods and software currently used for research and field data implementation.
Prerequisite: Genetic Prediction
Contacts
Instructor
Scott Speidel
Office: 970-491-5419
scott.speidel@colostate.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
Approximately three weeks before the first day of class at Colorado State University, the CSU campus coordinator, Mary Colasanti, 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.
I have worked in the nonprofit arena for many years. The idea of returning to school for my master’s degree was daunting, especially given my typical work schedule of long and varied hours. However, knowing that I could earn my master’s degree in Community Development through Great Plains IDEA and that it would fit around my work and personal needs put me at ease. Multiple times throughout my coursework I have learned a theory, process, or skill one evening, gone to work the next morning, and applied what I learned the night before in my job.