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ANSC 514. Coding for Production Data

Credits: 3
Offered by: Animal Science (Faculty of Agric Environ Sci)
Terms offered: Fall 2026
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Description

An introduction to various methods used for advanced data analysis and their application within the agricultural and environmental sciences, including both classical approaches and machine learning methods; uni- and multivariate analysis; and supervised and unsupervised methods. A special focus on identifying advantages and weaknesses of the various approaches, selecting appropriate methods for specific problems, and avoiding pitfalls. Application of concepts to real- life data.
  • Prerequisites: AEMA 204 or equivalent or permission of instructor
  • 1. Basic experience in computer programming (ideally R) is needed.

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