Primary Instructor
GGR278H5- Geographical Information Systems (Summer 2020)
Department of Geography, Geomatics and Environment, University of Toronto Mississauga, Canada
This is a compressed summer course introducing students to models of representation and management of geographical data for scientific analysis, basic quantitative methods and techniques for geographic data analysis. The course will involve two 2-hour lectures per week for 6 weeks and one 2-hour laboratory section a week. Each week the students will learned a new concept related to spatial data analysis. These concepts are reinforced through assigned textbook readings and in laboratory activities. I was responsible for all preparation of lectures and laboratory actives, delivery of lectures, and development of assessment through laboratory grading schemes and midterm and final exams.
Note: this course was delivered virtually due to COVID-19
GEOG 2006 – Statistical Methods in Geography (Winter 2018)
Department of Geography and Environmental Studies, Carleton University, Canada
This is a required course for the Geography and Environmental Studies students at Carleton University that introduces them to solving problems in geography using descriptive and inferential statistical methods, including graphical and numerical representations, probability theory, sampling, hypothesis testing as well as fundamentals of spatial statistics and analysis. The course involved a one 2-hour lecture per week for 12 weeks and one 2-hour laboratory section a week. Each week the students learned a new concept related to statistical analysis. These concepts are reinforced through assigned textbook readings and in laboratory activities. I was responsible for all preparation of lectures and laboratory actives, delivery, and development of assessment through laboratory grading schemes and midterm and final exams. There were 150 students in this class.
Mapping and Modelling the Real World: Introduction to GIS (May 2017)
Enrichment Mini-Course, University of Ottawa, Canada
The Enrichment Mini-Courses Program is a program offered to students from grades 8-11 in Ontario and Quebec who have demonstrated excellent academic performance and have been selected by their school to participate. I taught 30 middle school students (Grade 8) for a week about concepts related to what is spatial data and how to represent the real world in computer models thought mapping. This course involved 5 full days of teaching. I split this time up into a short formal teaching period (about 1 hour) in the morning going over the concepts that we would use that day followed by activities to reinforce taught concepts through experiential learning. Activities included making 3-D globes using different projections, a visit to the University of Ottawa map library, scavenger hunt on google earth, drone demonstration, collecting spatial data using an iPhone app, and using the software ArcGIS to create maps. I was responsible for all preparation of lectures and actives.
GEOG 2320- Introduction to Geomatics (Fall 2016)
Department of Geography, Environment and Geomatics, University of Ottawa, Canada
This was a required course for Geography students at the University of Ottawa that introduced students to fundaments of spatial data structure, spatial data encoding, manipulation, and analysis, and how to visualize and communicate information through mapping. The course involved a two 1.5-hour lectures per week for 12 weeks and one 2-hour laboratory section a week. Each week the students learned a new concept related to spatial data analysis. These concepts are reinforced through assigned textbook readings and in laboratory activities. I was responsible for all preparation of lectures and laboratory actives, delivery, and development of assessment through laboratory grading schemes and midterm and final exams. There were 45 students in this class.
Guest Lectures
GGR1218H5S – Open Source Methods in Physical Geography (Winter 2020 and Fall 2020)
Department of Geography, Geomatics and Environment, University of Toronto Mississauga, Canada
3-hour lecture with hands on r-coding activities
Workshops
Introduction to R
Society of Environmental Toxicology and Chemistry (SETAC), Fort Worth, USA 2020
The use of the open-source statistical environment R (http://www.r-project.org) and the integrated development environment (IDE) RStudio (http://www.rstudio.com) has become commonplace in environmental toxicology and chemistry research. While R has packages with advanced statistical methods useful for toxicology, it is first important to understand the basics. This course is intended for beginners and aims to provide a general introduction on how to use R. In this course, participants will learn how to load data and libraries into R, manipulate data, and visualize data using ggplot. We also introduce how to perform basic statistical operations in R including descriptive statistics and T-tests, ANOVA, and linear regression. The course is intended for students, researchers, and scientists with an interest in ecotoxicology and environmental sciences. The course material will include lectures, demonstrations, and hands-on activities to practice the learned concepts. While it is assumed that individuals have no prior experience with R, participants are required to bring their own laptop with R and R Studio installed.
Note: this course was delivered virtually due to COVID-19