2020/2021 Courses

2020/2021 Course Offerings Related to
Forest Biometrics, Measurements, and Computation

This is an overview of the course offerings from the UBC Faculty of Forestry related to Forest Biometrics, Measurements, and Computation in 2020/2021 taught by Forest Biometrics faculty. The course delivery method for many of the winter term 1 courses will be online. However, for some courses, the delivery method will be determined at a later date. We will post updates as decisions are made.

Graduate Courses:

FRST 531 Applied Multivariate Statistics, W2 – This course covers the application of a variety of multivariate methods using R for examples. Instructor: LeMay
Delivery method: TO BE DETERMINED
FRST 533C.101 Problems in Statistical Methods: Advanced Biometrics, W1 (FRST 430 Advanced Biometrics) – This course provides an overview of theory and application of linear models for observational data and experimental designs. This year it is offered as 500-level course again. Lectures and content covered align with FRST 430. However, the graduate-level version will have extra questions on lab assignments and exams as well as a separate lab section. Instructor: Eskelson
Delivery method: ONLINE
FRST 556 Land Information Acquisition and Analysis, W1, restricted to MFSM student – This course covers the principles and application of forest data acquisition and use. Instructor: LeMay
Delivery method: TO BE DETERMINED
GEM 530 Geospatial Data Analysis, W1, restricted to MGEM students but 4 extra seats are available for non-MGEM students – This course covers the fundamentals of Python programming and scripting as it relates to geospatial data analysis and manipulation. Instructor: Ahmed
Delivery method: ONLINE
GEM 540 Linear Regression Models and Introduction to Spatial Statistics, W1&W2, restricted to MGEM students – This course provides an overview of theory and application of linear models for observational data (W1) and an introduction to spatial statistics (W2). Instructor: Eskelson
Delivery method: ONLINE

Not offered in 2020/2021:

FRST 530 Advanced Regression Analysis – Linear, nonlinear, and generalized linear models, and mixed-effects versions of all three, using R for example. Instructor: LeMay
FRST 533C Problems in Statistical Methods: Applied Spatial Statistics, W2 [anticipated for January 2022] – This course covers an introduction to the theory of spatial statistics with applications to natural resources examples. Instructor: Eskelson

Other graduate-level, applied statistics courses across UBC campus:

BIOL 501.101 Quantitative Methods in Ecology and Evolution, W1 – This course covers quantitative methods for data analysis in ecology and evolution. The format is a mixture of lectures/discussions on methodological topics and practical workshops using the R package. Instructor: Schluter (UBC Zoology)

Undergraduate Courses:

FRST 231 Introduction to Biometrics, Distance Education Version, W2 & Summer Terms 1 & 2, required for students in BSF, BSc, BSCN, BSCW, and BEST programs, elective for BUF program, offers by Forestry and Land and Food Systems, Access Studies and natural resource programs at other universities – This course covers basic theories of probability and statistics, sampling distribution, methods of estimation and hypothesis testing, goodness of fit and tests for independence, analysis of variance, correlation and regression. Instructor: Ahmed
Delivery method: Distance Education Version (ONLINE)
NOTE: This course is also offered as non-distance education course. For details see the UBC course schedule.
FRST 232 Computer Applications in Forestry, W1, W2 & Summer Term 2, required for students in BSF, BSc, elective for BSCN and BUF program – This course covers techniques involved in solving forestry data problems, preparing academic report using powerful tools, managing and formatting a wide range of data using R Markdown, Excel, VBA, GIS, Word processing and database management tools. Instructor: Ahmed
Delivery method: ONLINE (W1), TO BE DETERMINED (W2, Summer Term 2)
FRST 239 Tree and Stand Measurements, W2, required for BSF students, optional for other programs. Tree and plot measures, basic sampling designs, log scaling, tree volume and biomass measurements and models, and introduction to GIS and Remote sensing data for forest resources management. Instructor: LeMay
Delivery method: TO BE DETERMINED
FRST 339 Forest Level Measurements and Productivity, W2, required for BSF students – This course provides background on the skills required for collecting and analysing data required for forest resources inventories, including sampling designs, fundamentals of model fitting, growth and yield, and GIS. Instructor: Marshall
Delivery method: TO BE DETERMINED
FRST 430 Advanced Biometrics, W1, required for Forest Sciences UG students – This course provides an overview of theory and application of linear models for observational data and experimental designs. Instructor: Eskelson
Delivery method: ONLINE