ANSC 514 — Coding for Production Data

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.

• Credits: 3
• Faculty: Faculty of Agric Environ Sci
• Department: Animal Science
• Taught by: Matthias Klein
• Prerequisites: AEMA 204 or equivalent or permission of instructor

Sections offered

• Section 002 (Lab), Mon 1:05-2:25 pm — 46 seats open
• Section 001 (Lec), Wed 3:05-3:55 pm · Fri 1:35-2:25 pm — 46 seats open