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Note: This is the 2022–2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Note: This is the 2022–2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
This domain (63 credits including core) is open only to students in the B.Sc.(Ag.Env.Sc.) Major in Environment or B.Sc. Major in Environment program.
In view of the crucial need for sound study design and appropriate statistical methods for analyzing environmental changes and their impacts on humans and various life forms and their ecological relationships, this program is intended to provide students with a strong background in the use of statistical methods of data analysis in environmental sciences.
Graduates will be capable of effectively participating in the design of environmental studies and adequately analyzing data for use by the environmental community. Accordingly, the list of courses for the Environmetrics Domain is composed primarily of statistics courses and mathematically oriented courses with biological and ecological applications. The list is completed by general courses that refine the topics introduced in the Bieler School of Environment core courses by focusing on the ecology of living organisms, soil sciences or water resources, and impact assessment. These courses should allow the students to understand their interlocutors and be understood by them in their future job. Students can further develop their background in applied or mathematical statistics and their expertise in environmental sciences by taking complementary courses along each of two axes: statistics and mathematics, and environmental sciences. An internship is also offered to students to provide them with preliminary professional experience.
For suggestions on courses to take in your first year (U1), you can consult the "Bieler School of Environment Student Handbook" available on the website (), or contact Kathy Roulet, the Program Adviser (kathy.roulet [at] mcgill.ca).
Prerequisites and equivalent courses are common with Math courses, so check with your adviser when choosing your courses. Be especially careful with Statistics courses, as you will receive no credit (and no warning!) for a course that is considered equivalent to one you have already taken. Note: Credit given for Statistics courses is subject to certain restrictions. Students in Science should consult the "Course Overlap" information in the "Course Requirements" section for the Faculty of Science.
Statistics courses BIOL 373 OR AEMA 310 can be taken in U1, but do not take them if you want to follow Option 1 (below), as they overlap with MATH 324.
Note: Students are required to take a maximum of 30 credits at the 200 level and a minimum of 12 credits at the 400 level or higher in this program. This includes core and required courses.
Location Note: When planning their schedule and registering for courses, students should verify where each course is offered because courses for this program are taught at both Æ»¹ûÒùÔº's Downtown campus and at the Macdonald campus in Sainte-Anne-de-Bellevue.
Location Note: Core required courses for this program are taught at both Æ»¹ûÒùÔº's Downtown campus and at the Macdonald campus in Sainte-Anne-de-Bellevue. You should register in Section 001 of an ENVR course if you want to take it on the Downtown campus, and in Section 051 of an ENVR course if you want to take it on the Macdonald campus.
Environment : A systems approach to study the different components of the environment involved in global climate change: the atmosphere, biosphere, hydrosphere, and lithosphere. The interactions among these components. Their role in global climate change. The human dimension to global change.
Terms: Fall 2022, Winter 2023
Instructors: Fabry, Frederic; Lovat, Christie; Pagnucco, Katie (Fall) Lovat, Christie; Bennett, Elena (Winter)
Fall
Section 001: Downtown Campus
Section 051: Macdonald Campus
Environment : This course deals with how scientific-technological, socio-economic, political-institutional and behavioural factors mediate society-environment interactions. Issues discussed include population and resources; consumption, impacts and institutions; integrating environmental values in societal decision-making; and the challenges associated with, and strategies for, promoting sustainability. Case studies in various sectors and contexts are used.
Terms: Fall 2022
Instructors: Manaugh, Kevin; Barrington-Leigh, Chris; Cardille, Jeffrey; Garver, Geoffrey (Fall)
Fall
Section 001: Downtown Campus
Section 051: Macdonald Campus
Environment : Formation of the Earth and the evolution of life. How geological and biological change are the consequence of history, chance, and necessity acting over different scales of space and time. General principles governing the formation of modern landscapes and biotas. Effects of human activities on natural systems.
Terms: Winter 2023
Instructors: Leung, Brian; Mahmoudi, Nagissa; Soper, Fiona; Lovat, Christie (Winter)
Winter
Section 001: Downtown Campus
Section 051: Macdonald Campus
Environment : Introduction to cultural perspectives on the environment: the influence of culture and cognition on perceptions of the natural world; conflicts in orders of knowledge (models, taxonomies, paradigms, theories, cosmologies), ethics (moral values, frameworks, dilemmas), and law (formal and customary, rights and obligations) regarding political dimensions of critical environments, resource use, and technologies.
Terms: Fall 2022, Winter 2023
Instructors: Kosoy, Nicolas; Gobby, Jen; Fleischmann, Adam (Fall) Vaccaro, Ismael; Hirose, Iwao (Winter)
Fall - Macdonald Campus; Winter - Downtown
Section 001: Downtown Campus
Section 051: Macdonald Campus
Environment : Techniques used in design and completion of environmental research projects. Problem definition, data sources and use of appropriate strategies and methodologies. Principles underlying research design are emphasized, including critical thinking, recognizing causal relationships, ideologies and bias in research, and when and where to seek expertise.
Terms: Fall 2022, Winter 2023
Instructors: Sengupta, Raja; Vaccaro, Ismael; Barrington-Leigh, Chris (Fall) Cardille, Jeffrey; Freeman, Julia (Winter)
Fall - Downtown campus; Winter - Macdonald campus
Section 001: Downtown Campus
Section 051: Macdonald Campus
Restrictions: Restricted to U2 or higher
Prerequisite(s): Completion of U1 Required courses in Environment, or permission of instructor.
Environment : Students work in interdisciplinary seminar groups on challenging philosophical, ethical, scientific and practical issues. They will explore cutting-edge ideas and grapple with the reconciliation of environmental imperatives and social, political and economic pragmatics. Activities include meeting practitioners, attending guest lectures, following directed readings, and organizing, leading and participating in seminars.
Terms: Fall 2022, Winter 2023
Instructors: Kosoy, Nicolas; Freeman, Julia (Fall) Freeman, Julia; Sieber, Renee; Janzwood, Amy (Winter)
Fall - Macdonald Campus; Winter - Downtown
Section 001: Downtown Campus
Section 051: Macdonald Campus
Prerequisite: ENVR 203
Restriction: Open only to U3 students, or permission of instructor
Only 3 credits will be applied to the program; extra credits will count as electives.
Agriculture : Geared for solving real-world environmental problems related to water at the local, regional and international scale in Barbados. Projects to be designed by instructors in consultation with university, government and NGO partners and to be conducted by teams of 2 to 4 students in collaboration with them.
Terms: Fall 2022
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Environment : Students work in an interdisciplinary team on a real-world research project involving problem definition, methodology development, social, ethical and environmental impact assessment, execution of the study, and dissemination of results to the research community and to the people affected. Teams begin defining their projects during the preceding summer.
Terms: Fall 2022
Instructors: Sengupta, Raja; Leung, Brian; Lovat, Christie; Manaugh, Kevin; Gobby, Jen (Fall)
Fall
Restriction: Open only to U3 students in their final year in the following programs, or by permission of the instructor: B.A. Faculty Program in Environment, B.A.&Sc. Interfaculty Program in Environment , B.Sc.(Ag.Env.Sc.) and B.Sc. Major in Environment, Diploma in Environment, and B.Com. Major in Managing for Sustainability.
Environment : Research projects will be developed by instructors in consultation with Panamanian universities, government agencies and non-governmental organizations. Project groups will consist of four to six students working with a Panamanian institution. Topics will be relevant to Panama: e.g., protection of the Canal watershed, economical alternatives to deforestation, etc.
Terms: Summer 2023
Instructors: Perez Ortega, Betzi Lourdes (Summer)
Winter
Restriction: students in the Panama Field Semester program. Offered in Panama only
Mathematics (Agric&Envir Sci) : Summer stage of at least four weeks, including a report. Provides students with professional experience in statistical analyses of environmental data. Can be undertaken at federal or provincial research stations and university research laboratories.
Terms: Fall 2022, Winter 2023
Instructors: Dutilleul, Pierre R L (Fall) Dutilleul, Pierre R L (Winter)
Prerequisite: Permission of the instructor based on satisfactory completion of the U2 year of the Environmetrics Domain in the Æ»¹ûÒùÔº School of Environment
Mathematics (Agric&Envir Sci) : Temporal statistics: analysis in the time domain, Box-Jenkins forecasting methodology, analysis in the frequency domain, periodogram analysis. Spatial statistics: mapping, autocorrelogram analysis, geostatistics. Statistical inference with autocorrelated sample data.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
36 credits of complementary courses are selected as follows:
12 credits - Fundamentals
3 credits - Basic Environmental Science
6 credits - Statistics, one of two options
15 credits - List 1 and List 2
12 credits of Fundamentals, 3 credits from each category.
Biology (Sci) : Principles of population, community, and ecosystem dynamics: population growth and regulation, species interactions, dynamics of competitive interactions and of predator/prey systems; evolutionary dynamics.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Environmental Biology : Interactions between organisms and their environment; historical and current perspectives in applied and theoretical population and community ecology. Principles of population dynamics, feedback loops, and population regulation. Development and structure of communities; competition, predation and food web dynamics. Biodiversity science in theory and practice.
Terms: Winter 2023
Instructors: McKinney, Melissa (Winter)
Environmental Biology : Principles and practice of Environmental Assessment (EA) in Canada and internationally. Exploration of issues surrounding impact assessment for sustainable development in different sectors, including their limitations.
Terms: Winter 2023
Instructors: Hickey, Gordon (Winter)
Open to U2 students and above.
Mining & Materials Engineering : Critical examination of the socio-economic costs and benefits of technology, case studies of old engineering works and new technologies. The integration of applied ethics and engineering practice, analysis of basic concepts of technology assessment, the inter-connected processes of risk assessment, management, and communication.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
(3-0-6)
Enrolment encouraged by students outside the Faculty of Engineering
Biology (Sci) : Application of finite difference and differential equations to problems in cell and developmental biology, ecology and physiology. Qualitative, quantitative and graphical techniques are used to analyze mathematical models and to compare theoretical predictions with experimental data.
Terms: Fall 2022
Instructors: Bub, Gil (Fall)
Environmental Biology : The process of formulating models of natural systems and confronting them with data, along with the necessary statistical computing skills. Emphasis on hands-on experience with current approaches for building, fitting, and comparing models.
Terms: Winter 2023
Instructors: Roy, Denis (Winter)
Environmental Biology : Applications of Geographic Information Systems (GIS) and spatial analysis techniques to the presentation and analysis of ecological information, including sources and capture of spatial data; characterizing, transforming, displaying spatial data; and spatial analysis to solve resource management problems.
Terms: Fall 2022
Instructors: Cardille, Jeffrey; Adamchuk, Viacheslav (Fall)
Geography : An introduction to Geographic Information Systems. The systematic management of spatial data. The use and construction of maps. The use of microcomputers and software for mapping and statistical work. Air photo and topographic map analyses.
Terms: Fall 2022
Instructors: Elrick, Tim (Fall)
Fall
3 hours and lab
One of:
Bioresource Engineering : Introduction to water resources and hydrologic cycle. Precipitation and hydrologic frequency analysis. Soil water processes, infiltration theory and modeling. Evapotranspiration estimation methods and crop water requirements. Surface runoff estimation as a function of land use modifications. Estimation of peak runoff rates. Unit hydrograph. Design of open channels and vegetated waterways.
Terms: Winter 2023
Instructors: Prasher, Shiv (Winter)
Three lectures, one 2-hour lab per week.
This course carries an additional course charge for field trips.
This course carries an additional course charge of $37.72 to cover transportation costs for two field trips, which may include a visit to a national weather station and a trip to gain hands-on experience on monitoring water flow in streams.
Civil Engineering : Precipitation, evaporation and transpiration. Streamflow, storage reservoirs, flood routing. Groundwater hydrology. Ecohydrology. Statistical analysis in hydrology, stochastic modelling. Simulations using hydrologic models. Case studies in flood damage mitigation, surface and ground water management, and water-energy-food nexus.
Terms: Fall 2022
Instructors: Kang, Mary (Fall)
(3-2-4)
Prerequisite: CIVE 302
Environmental Biology : With reference to the ecosystems in the St Lawrence lowlands, the principles and processes governing climate-landform-water-soil-vegetation systems and their interactions will be examined in lecture and laboratory. Emphasis on the natural environment as an integrated system.
Terms: Fall 2022
Instructors: Kallenbach, Cynthia (Fall)
Geography : Discussion of the major properties of soils; soil formation, classification and mapping; land capability assessment; the role and response of soils in natural and disturbed environments (e.g. global change, ecosystem disturbance).
Terms: Winter 2023
Instructors: von Sperber, Christian (Winter)
Fall
3 hours and laboratory
Prerequisite: GEOG 203 or introductory course in biology or geology
Geography : Quantitative, experimental study of the principles governing the movement of water at or near the Earth's surface and how the research relates to the chemistry and biology of ecosystems.
Terms: Winter 2023
Instructors: Ali, Genevieve (Winter)
Winter
3 hours
Prerequisite: GEOG 203 or equivalent
Geography : The study of the patterns of distribution of organisms in space and time with emphasis on plant communities. Ecological, geographical, historical and anthropological factors affecting these distribution patterns will be discussed. Particular consideration is given to methods for description and classification of plant communities.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
6 credits of Statistics are selected from one of the following two options.
Note: Credit given for Statistics courses is subject to certain restrictions. Students in Science should consult the "Course Overlap" information in the "Course Requirements" section for the Faculty of Science. Several Statistics courses overlap (especially with MATH 324) and cannot be taken together. These rules do not apply to B.Sc.(Ag.Env.Sc.) students.
Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: Nadarajah, Tharshanna; Sajjad, Alia (Fall) Asgharian, Masoud; Sajjad, Alia (Winter) Kelome, Djivede (Summer)
Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.
Terms: Fall 2022, Winter 2023
Instructors: Nadarajah, Tharshanna (Fall) Nadarajah, Tharshanna (Winter)
Fall and Winter
Prerequisite: MATH 323 or equivalent
Restriction: Not open to students who have taken or are taking MATH 357
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
One of:
Mathematics (Agric&Envir Sci) : Measures of central tendency and dispersion; binomial and Poisson distributions; normal, chi-square, Student's t and Fisher-Snedecor F distributions; estimation and hypothesis testing; simple linear regression and correlation; analysis of variance for simple experimental designs.
Terms: Fall 2022, Winter 2023
Instructors: Dutilleul, Pierre R L (Fall) Bona, Kelly Ann (Winter)
Two 1.5-hour lectures and one 2-hour lab
Please note that credit will be given for only one introductory statistics course. Consult your academic advisor.
Biology (Sci) : Elementary statistical methods in biology. Introduction to the analysis of biological data with emphasis on the assumptions behind statistical tests and models. Use of statistical techniques typically available on computer packages.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Fall
2 hours lecture and 2 hours laboratory
Prerequisite: MATH 112 or equivalent
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
And one of:
Mathematics (Agric&Envir Sci) : General principles of experimental design, split-plot designs, spatial heterogeneity and experimental design, incomplete block designs and unbalanced designs, analysis of repeated measures, multivariate and modified univariate analyses of variance, central composite designs.
Terms: Winter 2023
Instructors: Dutilleul, Pierre R L (Winter)
Two 1.5-hour lectures
Prerequisite: AEMA 310 or equivalent
Offered in alternate years with AEMA 414
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
Civil Engineering : Application of statistical principles to design of measurement systems and sampling programs. Introduction to experimental design. Graphical data analysis. Description of uncertainty. Hypothesis tests. Model parameter estimation methods: linear and nonlinear regression methods. Trend analysis. Statistical analysis of censored data. Statistics of extremes.
Terms: Winter 2023
Instructors: Nguyen, Van-Thanh-Van (Winter)
(3-0-6)
Prerequisite (Undergraduate): CIVE 302 or permission of instructor
Geography : Multiple regression and correlation, logit models, discrete choice models, gravity models, facility location algorithms, survey design, population projection.
Terms: Winter 2023
Instructors: Sharma, Bidhya (Winter)
Winter
3 hours
Prerequisite: GEOG 202 or equivalent or permission of instructor
You may not be able to get credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
Sociology (Arts) : This course blends theory and applications in regression analysis. It focuses on fitting a straight line regression using matrix algebra, extending models for multivariate analysis and discusses problems in the use of regression analysis, providing criteria for model building and selection, and using statistical software to apply statistics efficiently.
Terms: Winter 2023
Instructors: Das, Aniruddha (Winter)
Prerequisite: SOCI 350
You may not be able to get credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
A total of 15 credits are chosen from the following two lists.
3 credits minimum of statistics and mathematics chosen from:
* Note: or equivalent courses to BREE 252 or BREE 319.
Biology (Sci) : Study of theoretical ecology and of mathematical tools available to explore the dynamical behaviour of model populations, communities and ecosystems. Models addressing major ecological theories including population stability, community dynamics and ecosystem functioning, epidemic and disturbance dynamics, spatial models, game theory.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Bioresource Engineering : A disciplined general approach to the solution of engineering problems, and the implementation of these solutions using structured programming methods in a current computational environment.
Terms: Fall 2022
Instructors: Titley-Péloquin, David; Prasher, Shiv (Fall)
3 lectures and one 2-hour lab per week
Note that a B+ must be obtained in this course in order to be permitted to register in BREE 504
Bioresource Engineering : Advanced topics in engineering mathematics, including systems of ordinary differential equations, stability analysis, special functions, orthogonal functions and Fourier series, boundary value problems in various coordinate systems, and integral transforms. The use of computer-based mathematical tools is an integral part of the course.
Terms: Fall 2022
Instructors: Titley-Péloquin, David (Fall)
Geography : Conceptual and simulation models of key case studies for developing system thinking, including system stability, threshold dynamics in regime shifts, resilience, and adaptive environmental management.
Terms: Winter 2023
Instructors: MacDonald, Graham (Winter)
Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.
Terms: Fall 2022, Winter 2023
Instructors: Macdonald, Jeremy; Pichot, Mikael (Fall) Macdonald, Jeremy (Winter)
Mathematics & Statistics (Sci) : Linear systems of differential equations, linear stability theory. Nonlinear systems: existence and uniqueness, numerical methods, one and two dimensional flows, phase space, limit cycles, Poincare-Bendixson theorem, bifurcations, Hopf bifurcation, the Lorenz equations and chaos.
Terms: Fall 2022
Instructors: Nave, Jean-Christophe (Fall)
Mathematics & Statistics (Sci) : Multiple regression estimators and their properties. Hypothesis tests and confidence intervals. Analysis of variance. Prediction and prediction intervals. Model diagnostics. Model selection. Introduction to weighted least squares. Basic contingency table analysis. Introduction to logistic and Poisson regression. Applications to experimental and observational data.
Terms: Fall 2022
Instructors: Nadarajah, Tharshanna (Fall)
Mathematics & Statistics (Sci) : Conditional probability and conditional expectation, generating functions. Branching processes and random walk. Markov chains, transition matrices, classification of states, ergodic theorem, examples. Birth and death processes, queueing theory.
Terms: Winter 2023
Instructors: Addario-Berry, Louigi Dana (Winter)
Mathematics & Statistics (Sci) : Simple random sampling, domains, ratio and regression estimators, superpopulation models, stratified sampling, optimal stratification, cluster sampling, sampling with unequal probabilities, multistage sampling, complex surveys, nonresponse.
Terms: Winter 2023
Instructors: Yang, Archer Yi (Winter)
Sociology (Arts) : An introduction to basic regression techniques commonly used in the social sciences. Covers the least squares linear regression model in depth and may introduce models for discrete dependent variables as well as the maximum-likelihood approach to statistical inference. Emphasis on the assumptions behind regression models and correct interpretation of results. Assignments will emphasize practical aspects of quantitative analysis.
Terms: Fall 2022
Instructors: Clark, Shelley (Fall)
Sociology (Arts) : Asking researchable sociological questions and evaluation of different research designs used to answer such questions. Development of cogent research proposals, including data collection procedures. Principles, dynamics, strengths and practical limitations of research designs. Examples from recent publications.
Terms: Fall 2022
Instructors: Carmichael, Jason (Fall)
Restriction: Open to U3 and graduate students
3 credits minimum of environmental sciences chosen from:
Agriculture : Physical environment challenges, centered on water, being faced by an island nation. Guest speakers, field study tours and laboratory tests. Private, government and NGO institutional context of conservation strategies, and water quantity and quality analyses for water management specific to Barbados.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Restrictions: Enrolment in full "Barbados Field Study Semester". Not open to students who have taken CIVE 452.
Agriculture : Contrast theory and practice in defining agricultural environmental "challenges" in the Neotropics. Indigenous and appropriate technological means of mitigation. Soil management and erosion, water scarcity, water over-abundance, and water quality. Explore agro-ecosystem protection via field trips and project designs. Institutional context of conservation strategies, NGO links, and public participation.
Terms: Summer 2023
Instructors: Hoyos-Villegas, Valerio (Summer)
Biology (Sci) : Methods of sampling natural populations. Testing hypotheses in nature.
Terms: Summer 2023
Instructors: Reader, Simon; Potvin, Catherine; Barrett, Rowan (Summer)
Prerequisites: BIOL 206 and BIOL 215, or equivalents, or permission of the instructor.
Note: This course has an additional fee. The Department of Biology subsidizes a portion of the cost for this activity.
The field portion of this course is given at the University’s Gault Nature Reserve in Mont St. Hilare over a two-week period in the summer term. In the summer, students prepare a report based on projects carried out during this field portion. There is an additional fee of $668.32 that covers room and board and handouts. This fee could be refundable if the department approves it.
Biology (Sci) : Ecology revisited in view of tropical conditions. Exploring species richness. Sampling and measuring biodiversity. Conservation status of ecosystems, communities and species. Indigenous knowledge.
Terms: Summer 2023
Instructors: Potvin, Catherine (Summer)
Environmental Biology : Topics in the interface of evolution, phylogenetics, and biogeography, including tree thinking, phylogeny estimation, and the processes that generate and maintain biodiversity. The major scientific discoveries that demonstrated how Earth’s history affects the evolution of organisms, including the unheard voices of evolutionary biology.
Terms: Fall 2022
Instructors: Gillung, Jessica (Fall)
Prerequisite: AEBI 212
Environmental Biology : Exploring the impact of environmental chemicals on biological organisms in an ecological context. Basic topics in ecotoxicology, such as source and fate, routes of exposure, bioavailability, dose-response, biomarkers, and risk assessment will be covered from both theoretical and applied perspectives. The processes by which pollutants are tested, regulated, and monitored will be critically examined.
Terms: Fall 2022
Instructors: Head, Jessica (Fall)
Environment : This course will focus on the role of place and history in the cities in which we live and in our understanding of sustainability. Each year, students will work to develop a historical reconstruction of the natural environment of Montreal and of its links to the cultural landscape, building on the work of previous cohorts of students.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Environment : Applied and experience-based learning opportunities are employed to critically assess Montreal as a sustainable city through research, discussion, and field trips. The urban environment is considered through various specific dimensions, ranging from: waste, energy, urban agriculture, green spaces and design, or transportation.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Geography : The course will examine research approaches in human ecology since its inception early in this century. Emphasis will be placed on the theoretical shifts that have led to its emergence as an important social science perspective. The course will also involve case studies to evaluate the methodological utility of the approach.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Geography : An ecological analysis of the physical and biotic components of natural resource systems. Emphasis on scientific, technological and institutional aspects of environmental management. Study of the use of biological resources and of the impact of individual processes.
Terms: Fall 2022
Instructors: Meredith, Thomas C (Fall)
3 hours
Prerequisite: Any 200-level course in Geography or MSE or BIOL 308 or permission of instructor.
Geography : Practical application of environmental planning, analysis and management techniques with reference to the needs and problems of developing areas. Special challenges posed by cultural differences and traditional resource systems are discussed. This course involves practical field work in a developing area (Kenya or Panama).
Terms: Winter 2023
Instructors: Meredith, Thomas C (Winter)
Winter
3 hours
Prerequisite: GEOG 302 or permission of instructor
Geography : Geographical research in urban public and semi-public spaces. Demonstration of techniques of mapping, sampling, measurement, photography, interviewing. Attention to research design.
Terms: Fall 2022
Instructors: Manaugh, Kevin (Fall)
Geography : An introduction to the geography of the subarctic with emphasis on the application of field methods in physical and/or human geography.
Terms: This course is not scheduled for the 2022-2023 academic year.
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Fall
Instructor's approval required.
A fee of $2,056.65 is charged to all students registered in GEOG 499 Subarctic Field Studies. This course is held at Schefferville, Quebec in late August through early September. The fee is used to support the cost of transportation, accommodations, local fees and all meals. The department subsidizes a portion of the cost of this compulsory activity for each student registered in a Geography Major or Honours program.
Natural Resource Sciences : The environmental contaminants which cause pollution; sources, amounts and transport of pollutants in water, air and soil; waste management.
Terms: Fall 2022
Instructors: Head, Jessica; Freyria, Nastasia (Fall)
Fall
3 lectures
Restriction: Not open to students who have taken WILD 333
Plant Science : Theory and practice of plant ecology with an emphasis on the interaction between patterns and ecological processes and the dynamics, conservation and management of plant populations and communities over a range of temporal and spatial scales.
Terms: Summer 2023
Instructors: Beauregard, Frieda (Summer)
3 lectures and one 3-hour lab
Prerequisite: AEMA 310 or permission of instructor.
This course carries an additional charge of $30.77 to cover the cost of transportation (bus rental) for local field trips. The fee is refundable only during the withdrawal with full refund period.
Resource Development : Principles of fisheries and wildlife management are considered and current practices of research and management are discussed.
Terms: Fall 2022
Instructors: Humphries, Murray Mitchell; McKinney, Melissa; Roy, Denis; Favret, Karen (Fall)
Fall
3 lectures, one 2-hour lab and one week field laboratory prior to fall term
Prerequisite: WILD 307 or permission of instructor
A $387.03 fee is charged to all students registered in WILD 401, Fisheries and Wildlife Management, a course that has a required field trip. This fee is used to support the cost of excursions, accommodations, food and fees associated with visiting a research facility in New York. The Department of Natural Resource Sciences subsidizes a portion of the cost of this compulsory activity.