(Lab required) To develop the apps we use every day, you need to understand how computers ‘think.’ In this course students will learn to mentally simulate how a computer operates and read and write simple computer programs. Students will gain an understanding of how information is stored and computations are performed. This is an excellent pathway into computer programming for those with no prior experience. May not be used to fulfill computer science requirements in a Computer Science Honours, Joint Honours, or Major program. May not be taken once in a declared Computer Science Honours, Joint Honours, or Major program. May be used as an elective if taken prior to entry.

This is a lab-based course. Every computer scientist needs to make use of an expansive set of modern computing tools and techniques. This course provides a hands-on experiential introduction to working with the tools and techniques we use every day to design, develop, analyze, and maintain software.

This is a lab-based course. Every computer scientist needs to make use of an expansive set of modern computing tools and techniques. This course continues the hands-on experiential introduction to working with the tools and techniques we use every day to design, develop, analyze, and maintain software.

(Lab required) An introduction to computer programming using a procedural high level language. May not be held with COMP 1011, COMP 1012, or COMP 1013.

(Lab required) An introduction to computer programming suitable for solving problems in science and engineering. Students will implement algorithms for numerical processing, statistical analysis and matrix operations. May not be held with COMP 1010, COMP 1011, or COMP 1013.

(Lab required) More features of a procedural language, elements of programming. May not be held with COMP 1021.

An introduction to the topics of Computer Science and problem solving. Students will learn concepts in computer programming. May not be used to fulfill computer science requirements in a Computer Science Honours, Joint Honours, Major, General or Minor program. May not be taken once in a declared Computer Science Honours, Joint Honours, Major, General or Minor program. May be used as an elective if taken prior to entry.

From broad technical descriptions to the social and environmental impacts of Computer Science, we analyze and critique the networks, technologies, and social factors that co-shape our world.

This is a lab-based course. Every computer scientist needs to make use of an expansive set of programming tools and techniques. This course provides a hands-on experiential introduction to working with the programming tools and techniques we use every day to develop and maintain software.

This is a lab-based course. Every computer scientist needs to make use of an expansive set of programming tools and techniques. This course continues the hands-on experiential introduction to working with the programming tools and techniques we use every day to develop and maintain software.

Computer Science encompasses a broad array of ideas and special topic areas. In this course students will pursue a specific introductory topic, which will vary from year to year. This course can be completed as a topics course multiple times under different titles.

Techniques for algorithm design: divide-and-conquer, greedy, dynamic programming, and randomization. Analysis of recursive algorithms through recurrence relations. The design and implementation of common algorithms such as sorting and selection. STAT 1000 or STAT 1001 or STAT 1150 is recommended.

Introduction to the representation, implementation, and analysis of common data structures: stacks, queues, hash tables, binary and balanced trees. Algorithms for manipulating data structures will be analyzed using asymptotic notation.

Design and development of object-oriented software. Topics will include inheritance, polymorphism, data abstraction and encapsulation. Examples will be drawn from several programming languages. This course is intended for students admitted to the Computer Science Honours, Computer Science Major, Computer Science – Statistics Joint Honours, Computer Engineering, Data Science Major, the Applied Math with Computer Science Major, or the Statistics Honours or Major, prior to Fall 2025.

Introduction to issues involved in real-world computing. Topics will include memory management, debugging, compilation, performance, and good programming practices. This course is intended for students admitted to the Computer Science Honours, Computer Science Major, Computer Science – Mathematics Joint Honours, Computer Science – Physics and Astronomy Joint Honours, Computer Science – Statistics Joint Honours, Computer Engineering, Data Science Major, or the Applied Math with Computer Science Major, prior to Fall 2025.

An applied computational course introducing topics such as approximation by polynomials, solution of non-linear equations, linear systems, simulation and computational geometry. May not hold with COMP 2191.

Data representation and manipulation, machine-level representation of programs, assembly language programming, and basic computer architecture. Not available to students who have previously completed ECE 3610.

An introduction to common programming paradigms for implementing event-based systems. May not be held with COMP 2150, COMP 2160, or COMP 3060 when titled Programming Paradigms.

Real-world software development involves many different parts of Computer Science: software design, validation and verification, user interface design, computer security, and information management. This course introduces students to the elements of software development. May not be held with COMP 2150 or COMP 2160. COMP 1006 is recommended.

This course provides more advanced coverage of current approaches to software design, validation and verification, human interface design, computer security, and information management. May not be held with COMP 2150.

This course is designed to help students become more effective and confident writers in the context of the computing profession. Students will be introduced to a broad range of written and oral presentation styles used in the computing workplace. This course is restricted to students in a Computer Science Major, Honours, or Joint Honours program. May not be held with the former COMP 3040.

Work assignment in business, industry, or government for students registered in the Computer Science Cooperative Option. Requires submission of a written report covering the work completed during the four-month professional assignment. (Pass/Fail)

An introduction to the development of client server and peer-to-peer systems through web applications, distributed programming models, and distributed algorithms.

Human-computer interaction: human factors and usability, user-cantered design, prototyping, usability evaluation. A course in cognitive psychology, such as PSYC 2480 or PSYC 2481, is recommended.

An introduction to automata theory, grammars, formal languages and their applications. Topics: finite automata, regular expressions and their properties; context-free grammars, pushdown automata and properties of context-free languages; Turing machines and their properties.

Computer Science encompasses a broad array of ideas and special topic areas. In this course students will pursue a specific intermediate topic, which will vary from year to year. This course can be completed as a topics course multiple times under different titles.

Fundamental algorithms for sorting, searching, storage management, graphs, databases and computational geometry. Correctness and analysis of those algorithms using specific data structures. An introduction to lower bounds and intractability.

Principles of artificial intelligence: problem solving, knowledge representation and manipulation; the application of these principles to the solution of 'hard' problems.

Introduction to the standard compiler phases: scanning, parsing, symbol-table management, code generation, and code optimization. The emphasis is on the simpler techniques for compiler construction such as recursive descent. COMP 2400 is recommended for Computer Engineering Students.

Introduction to software engineering. Software life cycle models, system and software requirements analysis, specifications, software design, testing and maintenance, software quality.

Principles of computer systems architecture, organization and design. Performance, instruction sets, processors, input/output, memory hierarchies.

An introduction to database systems including the relational, hierarchical, network and entity-relationship models with emphasis on the relational model and SQL.

Operating systems, their design, implementation, and usage. COMP 2400 is recommended for Computer Engineering Students.

An introduction to major concepts involved in the design of modern programming languages. The imperative, functional, and logical families and differences between them. Facilities for high level data and control structures, modular programming, data typing, and other topics will be covered.

An introductory course in computer graphics including topics such as raster graphics, two and three dimensional transforms, and simple rendering.

Work assignment in business, industry, or government for students registered in the Computer Science Cooperative Option. Requires submission of a written report covering the work completed during the four-month professional assignment. (Pass/Fail).

Advanced issues in the field of human-computer interaction. Topics will be selected from current research and development issues in the field of HCI.

Introduction to the issues involved in managing large, complex software projects.

Computer Science encompasses a broad array of ideas and special topic areas. In this course students will pursue a specific topic, which will vary from year to year. This course can be completed as a topics course multiple times under different titles.

Computer Science encompasses a broad array of ideas and special topic areas. In this course students will pursue a specific advanced topic, which will vary from year to year. Available to fourth-year Honours or Joint Honours Computer Science students only. This course can be completed as a topics course multiple times under different titles.

Description and analysis of cryptographic methods used in the authentication and protection of data. Classical cryptosystems and cryptoanalysis, the Advanced Encryption Standard (AES) and Publickey cryptosystems.

Topics include artificial intelligence, computer vision, human-robot interaction, and multi-robot systems. These abstract components are grounded in the problem of developing a team of intelligent mobile robots. All topics are covered with specific emphasis on applied problems, e.g., real-time performance. May not be held with COMP 4060 when titled "Mobile Robotics."

Reasoning with temporal knowledge; causal reasoning; plausible reasoning; nonmonotonic reasoning; abductive reasoning.

This course examines the principles of computer networks, including network architectures, algorithms, protocols, and performance. May not be held with the former COMP 3720 or the former COMP 4720 or ECE 3700.

Spanning trees, connectivity, planar graphs, directed graphs, networks, colouring problems and tours are studied and their applications to computer science will be highlighted.

Advanced treatment of software development methods. Topics will be selected from requirements gathering, design methodologies, prototyping, software verification and validation.

Learning strategies; evaluation of learning; learning in symbolic systems; neural networks, genetic algorithms. May not be held with ECE 4450.

Implementation of modern database systems including query modification/optimization, recovery, concurrency, integrity, and distribution.

Algorithm design with emphasis on formal techniques in analysis and proof of correctness. Computational geometry, pattern matching, scheduling, numeric algorithms, probabilistic algorithms, approximation algorithms and other topics.

Design and implementation of modern operating systems. Detailed analysis of an open source modern operating system and hands-on experience with its kernel and major components.

Methods in computer graphics including topics such as representation of curves and surfaces, viewing in three dimensions, and colour models.

An overview of the architectures of current parallel processors and the techniques used to program them. Not to be held with ECE 4530.

A supervised research-based project on a specific area of Computer Science. Permission to take the course is given on an individual basis. Available to fourth-year Honours or Joint Honours Computer Science students only. May not be held with COMP 4560 or the former COMP 4520.

An introduction to the theory and practice of real-time systems. Topics include the design of real-time systems, scheduling, event based processing, and real-time control. This course may not be held for credit if a student has previously completed both of ECE 4240 and ECE 3760.

Students will work in teams on an industrial project. Projects are supplied by the Department. May not be held with COMP 2980, COMP 4522, the former COMP 4520, or SCI 3980.

Computer security and information management. This course will examine state-of-the-art knowledge about the issues relevant to data and computer security.

(Lab required) Background and rationale to view Computer Science in a professional context. Examination of professional ethics, intellectual property, and privacy considerations important to Computer Scientists. May not be held with the former COMP 3620. This course is restricted to students in a Computer Science Major, Honours, or Joint Honours program.

Investigation of today's modern computer architecture and system design concepts, including requirements, specifications, and implementation. Instruction sets, instruction-level parallelism, speculative execution, multi-threaded architectures, memory hierarchy, multiprocessors, storage design and implementation, and interconnection networks.

Introduction to data mining concepts and their applications.

Parallel, distributed, object-oriented, object-relational, and XML databases; other emerging database technologies.

An exploration of bioinformatics problems through the lens of Computer Science. Students will discover novel data structures, algorithmic tools, and techniques used to manage, index, and analyze large amounts of data. May not be held with the former COMP 3820.

Work assignment in business, industry, or government for students registered in the Computer Science Cooperative Option. Requires submission of a written report covering the work completed during the four-month professional assignment. (Pass/Fail).

Work assignment in business, industry, or government for students registered in the Computer Science Cooperative Option. Requires submission of a written report covering the work completed during the four-month professional assignment (Pass/Fail).