Students are required to choose a topic for their senior thesis (CMPT 410 or 411) in consultation with an instructor. Selected readings and references pertinent to the topic are assigned. A final written report is presented, consisting of a detailed thesis proposal and a literature review.

A study of special topics or issues in computing science that are not considered in-depth in other courses.

Students are required to produce an outline of the topic studied in consultation with the instructor. A course of reading and/or experimentation is pursued according to the approved outline. Assessment may be via examination and/or a final written report.

This course will study advanced techniques, tools, and standards in software engineering. The student will complete a semester-long team based project

An introduction to the theory of designing and carrying out large software projects. All stages of the software engineering cycle, including requirement analysis, design, implementation, testing, and maintenance will be examined. The student will complete a semester-long team based project.

An overview of core machine learning technologies with motivating applications from a variety of disciplines and real‐world data sets. Students will learn how to implement, evaluate, and improve machine learning algorithms. While studying best practice in machine learning, students are introduced to data mining and statistical pattern recognition and learn how to build automatic analytical models.

Artificial Intelligence: knowledge representation, logic programming, knowledge inference. Application domains within the discipline of Artificial Intelligence include logical and probabilistic reasoning, natural language understanding, vision and expert systems.

This course provides a general introduction to interaction design from a human-computer interaction perspective. Students will learn both theoretical and practical concepts of human-computer interaction which will help them discover requirements, design/prototype and evaluate interactive products with usability and user experience (UX) goals. The course covers human capabilities, design principles, prototyping techniques, implementation, and evaluation techniques for interactive products.

This course introduces the fundamentals of computer graphics and principles of raster image generation. Topics include: graphics primitives, coordinate systems, transformations, rendering techniques, and geometric modelling.

The history, development, and design principles for programming notations. The design and internal operations of the major notational categories are examined in detail. Students are expected to become proficient in at least four languages they have not previously learned, typically chosen from historical, modern working, and cutting edge languages and from among such (non-exclusive) categories as Algol-descended, functional, scripting, Web-based, modular, application-specific, visual, and object oriented.