The Intelligent Systems elective package provides a theoretical and methodological framework for the study of "Information Engineering," an emerging field that includes artificial intelligence, robotics, communication, "smart" machines, and human-computer symbiosis. The systems-oriented approach emphasizes pattern analysis, since the recognition and classification of patterns is central to both human and machine intelligence, as well as finding application in many subfields of engineering. Courses in artificial perception (Image Processing) and artificial reasoning (Machine Intelligence) provide focused views in key application areas. The intelligent systems field provides one of the richest environments in which to acquire the familiarity with algorithms and data structures essential for disciplined software system design. Elective courses in this package are as follows:

3B (Winter)

  • SYDE 322 Software Design
  • SYDE 372 Introduction to Pattern Recognition
  • SYDE 444 Biomedical Measurement and Signal Processing

4A (Fall)

  • SYDE 431 Design Optimization Under Probabilistic Uncertainty

  • SYDE 475 Image Processing

  • SYDE 543 Cognitive Ergonomics

4B (Winter)

  • SYDE 348 User Centred Design Methods

  • SYDE 372 Introduction to Pattern Recognition

  • SYDE 422 Machine Intelligence

  • SYDE 444 Biomedical Measurement and Signal Processing

  • SYDE 556 Simulating Neurobiological Systems

  • SYDE 558 Fuzzy Logic and Neural Networks