REN R 690 - Multivariate Statistics for Environmental Sciences

★ 3 (fi 6)(SECOND, 3-0-3)

Faculty of Agricultural, Life and Environmental Sciences

Focuses on visualizing and analyzing complex biological or environmental data for the purpose of prediction and scientific hypothesis testing. Covers classical and modern approaches to ordination and classification, direct and indirect gradient analysis, and models of ecological and environmental interactions. Participants engage in problem-based learning by analyzing data from their thesis research project. Students without a suitable dataset should enroll in two or more *1 REN R 58X courses instead. Prerequisite: *3 introductory statistics recommended.

Previous term

No future terms

Historical Syllabi

Winter Term 2024 Winter Term 2025

Winter Term 2024

Lectures

Section	Capacity	Class times	Instructor(s)
LECTURE 850 (16570)	5	2024-01-08 - 2024-04-12 (W) 09:00 - 11:50 ONLINE	Primary Instructor: Andreas Hamann
LECTURE B1 (10223)	20	2024-01-08 - 2024-04-12 (W) 09:00 - 11:50 GSB 8-66	Primary Instructor: Andreas Hamann

Labs

Section	Capacity	Class times	Instructor(s)
LAB 851 (16571)	5	2024-01-08 - 2024-04-12 ONLINE	Primary Instructor: Andreas Hamann
LAB H1 (10226)	20	2024-01-08 - 2024-04-12 TBD	Primary Instructor: Andreas Hamann

Winter Term 2025

This course is changing in this term, from the information listed at the top of the page, to the information below.

REN R 690 - Multivariate Statistics and Machine Learning for the Environmental Sciences

★ 3 (fi 6)(SECOND, 3-0-3)

Covers methods for visualization, analysis and prediction for complex biological or environmental data. Includes classical and modern approaches to ordination and classification, analysis of multivariate relationships, and the application of deep neural networks and other machine learning tools for prediction. Participants engage in problem-based learning by analyzing data from their thesis research project. Students without a suitable dataset should enroll in two or more 1 unit REN R 58X courses instead. Prerequisite: 3 units introductory statistics recommended.

Lectures

Section	Capacity	Class times	Instructor(s)
LECTURE 850 (75502)	5	2025-01-06 - 2025-04-09 (W) 09:00 - 11:50 ONLINE	Primary Instructor: Andreas Hamann
LECTURE B1 (70193)	20	2025-01-06 - 2025-04-09 (W) 09:00 - 11:50 GSB 8-66	Primary Instructor: Andreas Hamann

Labs

Section	Capacity	Class times	Instructor(s)
LAB 851 (75503)	5	2025-01-06 - 2025-04-09 ONLINE	Primary Instructor: Andreas Hamann
LAB H1 (70196)	20	2025-01-06 - 2025-04-09 TBD	Primary Instructor: Andreas Hamann