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Societal & Environmental Systems

When analysing, operating or designing a complex engineering project, a variety of interactions between the natural and social environment must be considered. Within this package are courses which present methodologies and techniques for formally studying societal and environmental systems from a systems design engineering perspective. Specifically, the courses are to provide a strong background in probability and statistics, economics, mathematical modelling (deterministic and stochastic) and decision methodologies. Additional experience can be gained by doing related workshop projects in SYDE 362, 461 and 462.

The courses in this elective package are:

3B (Winter)

  • SYDE 332 Societal and Environmental Systems

  • SYDE 334 Applied Statistics

  • SYDE 372 Introduction to Pattern Recognition

4A (Fall)

  • SYDE 431 Design Optimization Under Probabilistic Uncertainty
  • SYDE 433 Conflict Resolution
  • SYDE 475 Image Processing

4B (Winter)

  • SYDE 332 Societal and Environmental Systems

  • SYDE 334 Applied Statistics

  • SYDE 372 Introduction to Pattern Recognition

  • Machine Intelligence

Students enrolled in the Accelerated Master's Program may also take the courses:

SYDE 631 Time Series Modelling (Fall)

SYDE 632 Optimization (Winter)

Finally, students studying courses in this package often take courses from a related Faculty Option such as Water Resources, Environmental Engineering, Management Sciences or Statistics Option.