Glen Armstrong applies operations research techniques to the study of forest management and forest policy issues. He is particularly interested in natural disturbance management and carbon accounting in the boreal forest.
Principles and practices of measuring and estimating present and future fibre production of forest communities, including applications of statistics, sampling techniques, regression analysis, and computer programming. Prerequisites: (MATH 113, 114, 134, 144, or 154) and *3 STAT. Pre- or corequisite: REN R 110. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.
Winter Term 2022Analytical techniques used by renewable resource managers for management of wildland areas for single or multiple outputs; problems of defining optimality when confronted with competing uses and multiple outputs. Prerequisite: *54 of University credit.
Fall Term 2021Problem solving, decision making and planning in relation to the management of forest resources. Application of models and related tools. Public involvement and issues management will be addressed. Prerequisites: REN R 299, REN R 323, and REN R 430.
Winter Term 2022Analytical techniques used by renewable resource managers for management of wildland areas for single or multiple outputs; problems of defining optimality when confronted with competing uses and multiple outputs. Not to be taken if credit received for REN R 430.
Fall Term 2021Problem solving, decision making and planning in relation to the management of forest resources. Application of models and related tools. Public involvement and issues management will be addressed. Not to be taken if credit received for REN R 431.
Winter Term 2022