丁香园AV

Modelling of Complex Social Systems Certificate Program

Dean of Graduate Studies
丁香园AV Calendar 2012 Fall

The Modelling of Complex Social Systems (MoCSSY) certificate program is an interdisciplinary graduate program crosscutting the study of social issues in criminology, health sciences, urban dynamics, computing science, and mathematical modelling under the unifying theme of modelling the complex dynamics in urban neighbourhoods.

The program is offered at the Burnaby campus.

For further information, visit .

Program Requirements

Students are required to satisfy all graduate requirements of their home department鈥檚 graduate studies program.

Students are expected to participate in the MoCSSy graduate seminar series and workshops for at least one term of each year while they are in the program.  Typically, this would mean that master of science (MSc) students will participate at least twice, while doctoral (PhD) students will participate at least four times. However, some flexibility will be granted to students who join the program near their graduation.

Course Lists

Students complete five courses chosen from the courses below, at least four of which must be graduate courses. A maximum of three courses may be from the student鈥檚 home department (consult with the MoCSSy program director regarding prior course credit eligibility). For students within the Faculty of Applied Sciences or the Faculty of Science, a minimum of two courses will be in departments outside of these two faculties. For students outside the Faculty of Applied Sciences and the Faculty of Science, a minimum of two courses will be in courses offered in departments inside of these two faculties.

Previously completed coursesthat were used to meet the requirements of earlier degrees will not count toward these requirements.

Computing Science

• CMPT 305-3 Computer Simulation and Modeling
• CMPT 310-3 Artificial Intelligence Survey
• CMPT 454-3 Database Systems II
• CMPT 456-3 Information Retrieval and Web Search
• CMPT 467-3 Visualization
• CMPT 471-3 Networking II
• CMPT 705-3 Design and Analysis of Algorithms
• CMPT 721-3 Knowledge Representation and Reasoning
• CMPT 740-3 Database Systems
• CMPT 741-3 Data Mining
• CMPT 745-3 Software Engineering
• CMPT 764-3 Geometric Modeling in Computer Graphics
• CMPT 765-3 Computer Communication Networks
• CMPT 767-3 Visualization
• CMPT 771-3 Internet Architecture and Protocols
• CMPT 813-3 Computational Geometry
• CMPT 814-3 Algorithmic Graph Theory
• CMPT 815-3 Algorithms of Optimization
• CMPT 816-3 Theory of Communication Networks

Graduate students from computing science will complete 700/800 division courses.

Criminology

• CRIM 410-3 Decision-making in Criminal Justice
• CRIM 413-3 Terrorism
• CRIM 454-3 Criminal Profiling
• CRIM 457-4 Crime and Criminal Intelligence Analysis
• CRIM 800-3 Theories of Crime
• CRIM 810-3 The Phenomena of Crime I
• CRIM 811-3 The Phenomena of Crime II
• CRIM 820-3 Criminal Justice Policy Analysis
• CRIM 821-3 Criminal Justice Policy Analysis: A Systems Approach
• CRIM 862-3 Research Methods III

Graduate students in criminology will complete 800 division courses.

Geography

• GEOG 352-4 Spatial Analysis
• GEOG 451-4 Spatial Modeling
• GEOG 453W-4 Remote Sensing of Environment
• GEOG 455-4 Theoretical and Applied GIS
• GEOG 457-4 Geovisualization Interfaces
• GEOG 604-5 Research Design and Analytical Techniques in Human Geography
• GEOG 606-5 Research Design and Analytical Techniques in Physical Geography
• GEOG 651-4 Advanced Spatial Analysis and Modeling
• GEOG 653-4 Theoretical and Applied Remote Sensing
• GEOG 655-4 Advanced Principles of Geographic Information Science

Graduate students in geography will complete 600 division courses.

Health Sciences

• HSCI 802-4 Principles of Epidemiology for Public Health
• HSCI 805-3 Intermediate Epidemiologic Methods
• HSCI 803-3 Qualitative and Survey Research Methods
• HSCI 815-3 Concepts of Population and Public Health Practice
• HSCI 824-3 Comparative Health Systems
• HSCI 826-3 Program Planning and Evaluation in Global Health
• HSCI 827-3 Analysis of the Canadian Health Care Delivery System
• HSCI 835-3 Social and Behavioural Contexts of Health and Disease
• HSCI 845-3 Environmental and Occupational Health
• HSCI 806-3 Principles of Demographic Analysis

Mathematics

• MACM 316-3 Numerical Analysis I
• MACM 409-3 Numerical Linear Algebra: Algorithms, Implementation and Applications
• MACM 416-3 Numerical Analysis II
• MATH 308-3 Linear Optimization
• MATH 309-3 Continuous Optimization
• MATH 348-3 Probabilistic Models in Operations Research
• MATH 408-3 Discrete Optimization
• MATH 445-3 Graph Theory
• MATH 448-3 Network Flows
• MATH 708-3 Discrete Optimization
• MATH 709-3 Numerical Linear Algebra and Optimization
• MATH 7163 Numerical Analysis II
• MATH 745-3 Graph Theory
• MATH 748-3 Network Flows

Graduate students in mathematics will complete 700 division courses.

Statistics

• STAT 302-3 Analysis of Experimental and Observational Data
• STAT 350-3 Linear Models in Applied Statistics
• STAT 403-3 Intermediate Sampling and Experimental Design
• STAT 410-3 Statistical Analysis of Sample Surveys
• STAT 430-3 Statistical Design and Analysis of Experiments
• STAT 602-3 Generalized Linear and Nonlinear Modeling
• STAT 650-5 Quantitative Analysis in Resource Management and Field Biology
• STAT 802-4 Multivariate Analysis
• STAT 804-4 Time Series Analysis
• STAT 805-4 Non-Parametric Statistics and Discrete Data Analysis
• STAT 806-4 Lifetime Data Analysis
• STAT 870-4 Applied Probability Models

Graduate students in statistics will complete 800 division courses.

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