The purpose of this course is to gain some understanding of how modern software is developed and deployed. Students will work in teams to complete a project of their own choosing but must first receive approval from the instructor. Student teams will be expected to successfully navigate their project through all phases of the software lifecycle. Reports and presentations will be expected at various stages of the project development.

The content of this course will include topics and issues which are currently of interest to the general computing community.

A project-based course dealing with the design and implementation of behaviour-based robots to accomplish specific tasks. Students work in groups and are introduced to concepts in sensor technologies, sensor data processing, motion control, embedded system design, real-time programming and behaviour arbitration.

An introduction into advanced topics in the theory of computation. Topics include: basics of formal languages, models of computers, regular expressions, deterministic and nondeterministic finite automata, computability and computational complexity.

A comparison of programming languages and their implementations. This course will survey the major types of programming languages. Topics include programming language paradigms (imperative, logic, functional and object-oriented), parameter passing, control structures, data types, typing mechanisms, binding rules, heap management, procedural languages, historical developments.

This course introduces the underlying concepts and essential techniques of Artificial Intelligence (AI). Topics cover core concepts in AI, such as intelligent agents, heuristic and adversarial search, game playing, knowledge representation and reasoning, making decisions, and machine learning fundamentals. The techniques and technologies mastered in this course will provide the foundational knowledge to design and implement various AI-based solutions to solve real-world problems across practice areas.

This final course in the co-op series provides students with the opportunity to consolidate their learning from Co-op I and II in a paid, minimum 400-hour work term. Students will be expected to take on leadership roles, contribute to strategic projects, and demonstrate a comprehensive understanding of business operations. Participation in the co-op program is optional, but all three sequential terms must be completed to satisfy the co-op pathway requirements. The work term is monitored and evaluated by the employer, focusing on the student's ability to apply advanced business concepts in a real-world setting.

Qualitative, quantitative, and mixed-method research methodologies are examined with special attention paid to ethical concerns in research, validity and reliability, and critical assessment of research tools. Students will conduct primary and secondary research presenting their findings in a formal APA research paper.

Applying concepts learned throughout their studies, students will explore business strategy as it applies to a company's plan to gain and sustain competitive advantage in an ever-changing marketplace. Utilizing the strategic management case analysis model, students will apply scientific methods and industry best practices to a variety of business situations to increase awareness of the multidimensional and integrative nature of strategic management. Governance and ethical issues in the context of strategy are also explored.

The second course in the co-op series builds upon the skills and knowledge gained in Co-op I. In this paid, minimum 400-hour work term, students will take on more advanced responsibilities within their workplace, applying intermediate business strategies and engaging in projects that require critical thinking and problem-solving. Students participating in the co-op program must complete all three terms to fulfill the co-op requirement, with the work term monitored and evaluated by the employer.