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Quantitative Methods in Fisheries Management
This interdisciplinary program studies the latest quantitative methods in fisheries management. The program is aimed at those with a background in fisheries science and management, as well as those who would simply like to learn more about this field. It provides a strong foundation in the quantitative tools that are necessary for doing fish stock assessment and providing scientific advice in support of fisheries management decisions. It will also provide professionals working in the field with an opportunity to upgrade their skills in the increasingly important areas of statistics, simulation modelling and analyses of uncertainties and risks. The program emphasizes both the theory and the application of these methods to real world situations.
間眅埶AV Requirements
Those with degree qualifications in fields not directly related but with extensive experience in resource management are encouraged to apply.
Individuals will vary in their preparation for the various disciplines in the school. Therefore, admission to the school might be conditional upon the completion of certain undergraduate courses.
The application deadline is January 25.
Refer to the graduate general regulations for general admission requirements. Contact the School of Resource and Environmental Management directly for more information (reminfo@sfu.ca). Detalied application information can be found on the department's website:
Applicants are normally required to hold an undergraduate degree in one of the natural or applied sciences with a minimum 3.0 cumulative grade point average (CGPA) or a B grade. Applications from students with other degrees, or with equivalent professional training and experience, will also be considered.
Program Requirements
A mandatory non-credit one-day orientation workshop for all new diploma program students will give an overview of how the various courses mentioned below will help students meet challenging issues in fisheries science and management. The workshop will also initiate dialogue between diploma students (who will bring significant work experience to class discussions), faculty and fisheries graduate students.
Students complete a minimum total of 22 units composed of the following courses. It is preferable that students complete the first four courses in the following order.
Introduction to fishing methods, fisheries ecosystems and the effects of fishing. Application of models of fish population dynamics, methods of data analysis and the quantification of uncertainty. Introduction to selected methods for providing scientific advice on the productivity and status of fish stocks. Focus will be primarily on biological aspects of fisheries assessment while illustrating how these interface with economic, social and institutional concerns of managers. Equivalent Courses: MRM613.
Special Topics in areas not currently offered within the offerings of the resource and environmental management program.
Special topics in areas not currently offered within the offerings of the resource and environmental management program.
The use of statistical techniques and mathematical models in resource management with special emphasis on experimentation, survey techniques, and statistical model construction. This course may not be used for the satisfaction of degree requirements in the Department of Statistics and Actuarial Science. Prerequisite: A course in parametric and non-parametric statistics.
Students also complete one or more of the following courses, or others approved by the academic program co-ordinator and instructor of the course.
Methods of constructing simulations models and analyzing them through sensitivity analysis. Application of simulation modelling to research and management of environmental and resource systems. Topics will include management of wildlife, forests, insect pests, fisheries, pollution problems, energy resources, and recreational land use. Prerequisite: REM 611 or permission of the instructor.
Use of quantitative methods of risk assessment and decision analysis to explicitly take uncertainty into account when making decisions in management of natural resources. Methods of quantifying uncertainty and the resulting risks. Examples from management of forests, wildlife, fisheries, water resources, energy, and toxic chemicals. Communicating information about uncertainties and the resulting risks to resource managers, the public, and scientists. Advantages and limitations of various quantitative methods. Includes computer laboratories. Prerequisite: Permission of instructor.
Academic Requirements within the Graduate General Regulations
All graduate students must satisfy the academic requirements that are specified in the (residence, course work, academic progress, supervision, research competence requirement, completion time, and degree completion), as well as the specific requirements for the program in which they are enrolled, as shown above.