COMPUTER SCIENCE APPLIED TO ANIMAL BREEDING

Course ID: BZO-SE>SIWH
Course title: COMPUTER SCIENCE APPLIED TO ANIMAL BREEDING
Semester: 4 / Spring
ECTS: 3
Lectures/Classes: 15 / 30 hours
Field of study: Animal Science
Study cycle: 1st cycle
Type of course: optional
Prerequisites:
Contact person: prof. dr hab. Joanna Szyda joanna.szyda@upwr.edu.pl
Short description: The course describes most commonly used applications of comptuer programming applied to livestock data.
Full description: Data bases, the SAS package, major gene detection, conventional and genomic breeding value prediction.
Bibliography: http://support.sas.com/documentation/92/index.html Mrode, R.A., Thompson, R. (2005) Linear Models for the Prediction of Animal Breeding Values. CAB International
Learning outcomes: After cource completion In area of knowledge 1. The student has a general knowledge of mathematics and elementary statistics. In area of skills 1. The student has the ability to find, understand, analyze and use the information from breeding documentation. 2. The student applies basic computer technologies used in the acquisition and processing of information in the field of livestock production. 3. The student performs under the guidance of a tutor simple research tasks or projects related to agriculture, interprets the results and draws conclusions. In area of social competences 1. The student is aware of the need for self-education in animal breeding.
Assessment methods and assessment criteria: One mark is given for the course, which includes lectures and labs depending on the number of students enrolled, the grade is based on: class attendance, activity during the classes and the individually assigned project.

Return to the List of Courses

';