The course provides a review of programming principles (specification, implementation and testing), and an extension of object-oriented concepts from CS1140 including data abstraction, modular program construction and program reuse. The emphasis is on dynamic data structures (eg. lists, string, stacks, queues, tables), and their associated algorithms (eg. recursion, traversal, sorting, searching, hashing).

This course provides an introduction to computer communications and computer networks. Topics will include communication hardware and software, protocols, local area and wide area networks, and network management.

This course introduces you to the principles, methods, tools, and practices of a professional programmer working in a rich programming environment. The lectures focus on the fundamental principles of programming methodology based on abstract data types and their implementations. The laboratories offer an intensive apprenticeship opportunity for the aspiring software developer. You will use the programming languages C and C++ and software development tools supported by the Microsoft Windows and UNIX programming environment.

The first course of a two course sequence on algorithm design and analysis stream, with the emphasis on the fundamentals such as searching, sorting and graph algorithms. Examples include divide and conquer, dynamic programming, greedy method, backtracking, and local search methods. Analysis techniques will be developed to aid in judging program efficiency.

This course introduces the fundamentals of PC hardware. Students will open up machines, install devices such as hard drives, I/O cards, video cards as well as memory, CD/DVD ROM drives, install operating systems, explore a variety of different software packages, attach communications equipment and supporting software. Topics include system hardware (e.g. motherboards, processors, storage devices, memory), device drivers, operating systems (e.g. Windows, Linux), troubleshooting and maintenance of LAN (lLocal Area Network)-based PC, etc.

General introduction to number representation, architecture and organization concepts of von Neumann machines, assemble level programming, exception handling, peripheral programming, floating point computations and memory management.

An introductory course to present the tools of set theory, logic and induction, and their use in the practice of reasoning about algorithms and programs. Basic set theory. The notion of a function. Counting. Propositional and predicate logic and their proof system will be studied. Inductive definitions and proofs by induction will be covered along with program specification and correctness.

The course includes basic concepts in computer data organization and information processing; hardware, physical organization, and access methods for fine storage; file I/O; introduction to database systems.

Formerly CT3110 Graphical input and output devices; segments; interactive input techniques; user interface design; windowing and clipping; 2D and 3D transformation; 3D modelling and viewing; hidden-line and hidden-surface removal.

Formerly CT3130 Introduction to computer communication networks. Digital data and voice transmission. Protocols for error and flow control, media access for LANs and MANs, routing and condition control, interconnection of networks. Introduction to recent advances in networks.

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.

Digital circuits, combinational systems, memory, register transfer, control logic design, CPU design, and advanced topics on micro-architectures.

This course focuses on the principles and knowledge of software engineering. It covers the approaches taken in developing large programming projects, including requirements analysis, specification, design (e.g., top-down modularization), coding (e.g., structured programming), debugging and testing, maintenance, and thorough documentation.

Formerly CT3790 You will be introduced to concepts and features commonly found in operating systems. Class discussion will concentrate on traditional operating system topics (processes, memory management, file systems, input/output) as well as distributed operating system topics (communication, synchronization, and distributed file systems). UNIX will be studied as an example of traditional and distributed operating systems.

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 students to various aspects of Internet and web technologies such as HTML/XHTML, CSS, XML, and JavaScript/Java through research and project related assignments. The exact topics covered in this course will be at the discretion of the instructor.

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.

Introduction to image processing and visual perception. The course will explore topics such as: data representation and formats; image enhancement and restoration; edge detection; segmentation and texture; correlation and registration. These fundamentals will then be applied to the analysis of images by using pattern recognition; feature extraction and detection; object tracking, decision theory; classification rules.

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.

Security stands out as a critical requirement in the design and deployment of information systems in general, and computer networks in particular. This course provides a comprehensive coverage of the theory, concept, design principles and technologies for information security. This course deals with the design of secure information systems with emphasis on secure networking and secure transfer of information.