Co-Teaching Multivariate Statistics in Soil Science (SLSC 852.1) – University of Saskatchewan
This course provides training in multivariate approaches used in microbial and soil science experiments. Topics include metric and non-metric ordination analysis, techniques used to assess environmental gradients or treatment effects, and non-ordination approaches. Upon completion, students will be able to perform and interpret a range of multi-variate analyses using R.
Previous
Spring 2019
Applied Bioinformatics (PLSC/CMPT 898.3) – University of Saskatchewan
This short-course provides hands-on training for running a 16S rRNA dataset through QIIME2. This module is part of the joint Plant & Computer Science departments' two-day bootcamp through the Plant Phenotyping and Imaging Research Centre (P2IRC).
Winter 2019
Multivariate Statistics in Soil Science (SLSC 852.1) – University of Saskatchewan
This course provides training in multi-variate approaches used in microbial and soil science experiments. Topics include metric and non-metric ordination analysis, techniques used to assess environmental gradients or treatment effects, and non-ordination approaches. Upon completion, students will be able to perform and interpret a range of multi-variate analyses using R.
Fall 2015
Renewable Resources and the Environment (EVSC 110.3) – University of Saskatchewan
Introduces students to renewable resources and their management. Emphasis is on human use of surface water, groundwater, land and plant resources. The concepts of sustainable use and ecological goods and services are explored for each resource. The role of each resource as an alternative energy source and the interaction between human use of the resource and global change is also addressed. Critical assumptions that underlie human use of resources are discussed in weekly tutorial sessions.
Spring 2012
Environmental Earth Science Field School (EAS 354) – University of Alberta
Introduction to fieldwork in geomorphology, biogeography and microclimatology. Elementary field mapping, the use of electronic field instrumentation for hydrological, water quality and micro-climatological monitoring, mapping and analysis of vegetation patterns, and techniques for the field description and laboratory analysis of soils and sediments. Introductory lectures and ten days of fieldwork.