Systèmes économiques de l’environnement / Environmental Economic Systems
Les systèmes économiques de l’environnement étudient l’impact des décisions en matière de gestion sur l’écosystème. Ce programme est mené conjointement avec plusieurs départements de l’Université et l’Institut de recherche sur l’environnement et l’économie (IREE). Les étudiants de ce domaine sont encouragés à participer aux séminaires et ateliers de cet institut pour parfaire leurs connaissances.
Environmental Economic Systems examines the impact of management decision making on the ecosystem. This study program is carried out in conjunction with several University departments and the Institute for Research on the Environment and Economy (IREE). Students in this area are invited to attend the IREE’s regular seminars, and to participate in workshops as part of their systems study in this area.
ECO6143 (ECON 5803) ECONOMICS OF NATURAL RESOURCES (3cr.)
Elements of dynamic optimization. Microeconomic theory of exhaustible natural resources, both renewable and non-renewable: exploration, development and production. Uncertainty: sources, types, the value of information, informational externalities, search. Optimal jurisdiction over regulation and taxation of natural resources. Canadian case studies. Macroeconomic theory: intergenerational equity, technological substitution and impact upon growth.
ECO6543 ÉCONOMIE DES RESSOURCES NATURELLES (3cr.)
Éléments d’optimisation dynamique. Théorie microéconomique des ressources naturelles épuisables, à la fois renouvelables et non renouvelables : exploration, développement et production. Incertitude : sources, types, valeur de l’information, les externalités liées à l’information, fouinage. Juridiction optimale pour la réglementation et la fiscalité des ressources naturelles. Étude de cas canadiens. Théorie macroéconomique : équité intergénérationnelle, substitution technologique et impact sur la croissance.
ECO6151 (ECON 5804) ECONOMICS OF THE ENVIRONMENT (3cr.)
The environment as natural capital; environmental valuation techniques; elements of environmental income accounting; sustainable development theories and practice; institutional questions and policy issues.
ECO6551 ÉCONOMIE DE L’ENVIRONNEMENT
L’environnement comme capital naturel; techniques d’évaluation environnementale; comptabilité environnementale; théorie et pratique de développement durable; questions institutionnelles et problèmes de politique publique.
GEG5102 RESTRUCTURING AND GLOBALISATION
Advanced analysis of the global systems and their consequences at the international, national, regional and intra-urban scales.
GEG5502 RESTRUCTURATION ET MONDIALISATION
Analyse approfondie des systèmes mondiaux et de leurs conséquences aux échelles internationale, nationale, régionale et intra-urbaine.
GEG6101 DATA ANALYSIS AND MODELLING (3cr.)
Techniques of analysis of empirical data: quantitative, semi-quantitative and qualitative. Multivariate and time-series data analysis.
GEG6103 SPATIAL DATA ANALYSIS (3cr.)
Visualisation and analysis of spatial data: point-pattern analysis, spatial interpolation and estimation, spatial autocorrelation. Analysis of spatial interaction and spatio-temporal dynamics.
GEG6501 ANALYSE DE DONNÉES ET MODÉLISATION (3cr.)
Modes de traitement appropriés à différents types de données empiriques : quantitatives, semi-quantitatives et qualitatives. Examen des méthodes d’analyse multivariées et temporelles.
GEG6503 ANALYSE DES DONNÉES SPATIALES (3cr.)
Visualisation et analyse de données spatiales : analyse de configurations spatiales, interpolation et estimation spatiales, autocorrélation spatiale. Analyse des interactions dans l’espace et de la dynamique spatiotemporelle.
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Related Programs
1. Core courses
Four from among the following five courses:
SYS5100 SYSTEMS ENGINEERING (3cr.)
SYS5110 FOUNDATIONS OF MODELLING AND SIMULATION (3cr.)
SYS5120 APPLIED PROBABILITY (3cr.)
SYS5130 SYSTEMS OPTIMIZATION AND MANAGEMENT (3cr.)
SYS5140 ECONOMIC SYSTEM DESIGN (3cr.)
and
SYS5160 SYSTEMS INTEGRATION (3cr.)
The Graduate Certificate may be completed by an adequately prepared full-time student in three sessions.
Students enrolled in the graduate certificate who have successfully completed the required 15 credits may apply for admission to one of the master's programs in systems science instead of accepting the graduate certificate. Applicants for the MSc must present an outline of their research approved by their potential thesis supervisor. If admitted to
The Systems Science Program provides qualified students with the opportunity for master's-level study in a broad range of areas that emphasize transdisciplinary work in the context of general systems analysis. The emphasis in Systems Science is on the development of analytical and integration skills for use in the resolution of complex applied problems that require a broad-based perspective.
Many professors in Information Technology and Engineering, Mathematics and Statistics, Administration, Economics, and other disciplines are active in the Systems Science program as instructors, student advisers and thesis directors. Others are interested in ongoing Systems Science activities including the seminar series, and
Core courses (15 credits):
Four among the following five courses:
SYS5100 SYSTEMS ENGINEERING (3cr.)
SYS5110 FOUNDATIONS OF MODELLING AND SIMULATION (3cr.)
SYS5120 APPLIED PROBABILITY (3cr.)
SYS5130 SYSTEMS OPTIMIZATION AND MANAGEMENT (3cr.)
SYS5140 ECONOMIC SYSTEM DESIGN (3cr.)
and
SYS5160 SYSTEMS INTEGRATION (3cr.)
One elective course (3 cr.)
SYS 7990 Master's Thesis Proposal
SYS 7999 Master's Thesis (12 cr.).
The regulations for the thesis and for the selection of elective coursesare given below.
Thesis Proposal (SYS 7990)
Candidates registered for the MSc degree must submit to the program committee, by the middle of their first session of registration in the MSc program, a clearly defined research proposal that has been approved by their thesis director.
A four-year undergraduate degree in Computer Science, Economics, Engineering, Mathematics, Operations Research, Science or a related area with at least a "B" average is required for admission to the Program.
Undergraduate courses in probability, linear algebra, differential equations and computer programming are prerequisites for the core courses of the Program. Details regarding the level and content of prerequisite courses are included in the information package which is sent to all applicants. If a student lacks any of these courses, he will normally be required to complete them as a condition of admission. Entering students who lack the required undergraduate preparation
The Ottawa-Carleton Institute combines the research strengths of the University of Ottawa and Carleton University. The Institute offers graduate programs leading to the master’s (MSc) and doctoral (PhD) degrees in several fields (biology, chemistry, earth science, etc.).
Biostatistics is an interdisciplinary area of research linking statistics, biology, medicine, and health sciences. This growing area demands knowledge of the theory behind statistical procedures, an ability to put that theory into practice, and an understanding of the area of application. The applications range from clinical trials to population epidemiology and the development of new procedures. The specialization is intended to prepare a
The Systems Science Program provides qualified students with the opportunity for master's-level study in a broad range of areas that emphasize transdisciplinary work in the context of general systems analysis. The emphasis in Systems Science is on the development of analytical and integration skills for use in the resolution of complex applied problems that require a broad-based perspective.
Many professors in Information Technology and Engineering, Mathematics and Statistics, Administration, Economics, and other disciplines are active in the Systems Science program as instructors, student advisers and thesis directors. Others are interested in ongoing Systems Science activities including the seminar series, and
The Ottawa-Carleton Institute combines the research strength of the University of Ottawa and Carleton University. The Institute offers graduate programs leading to the master’s (MSc) and doctoral (PhD) degrees in several fields (biology, chemistry, earth science, etc.).
Bioinformatics is an emerging and increasingly important scientific discipline dedicated to the pursuit of fundamental questions about the structure, function and evolution of biological entities through the design and application of computational approaches. Fundamental research in these areas is expected to increase our understanding of human health and disease which translates into innovation in industry (i.e. drug discovery). Bioinformaticians today must be able
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