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Year Course ID Course
2021-2022 CMPT 113

Computational Thinking and Information Systems

The student will gain a broad introductory understanding of information systems. including how modern computers interact with networks. The student will gain problem solving skills by employing computational thinking, testing, and debugging techniques. No prior computing experience is required. Not for students with existing credit for or exemption from CMPT 140 or 166. This course may not be counted toward a minor, concentration or major in computing science.

Course Credits: 3
Prerequisite(s): None. (3-3 or 3-3)
NB: Not offered every year See department chair
2021-2022 CMPT 123

Data Analysis for Information Systems

An introduction to spreadsheets and databases. Cell formulas, charts, macro programming are examined. Database design, decomposition; basic SQL. Tools such as Excel, Access, and MS-SQL may be used, but the focus is on concepts and design rather than skills with specific tools.

Course Credits: 3
Prerequisite(s): CMPT 113 or CMPT 140, or equivalent. (3-1-3 or 3-1-3)
2021-2022 CMPT 140

Introduction to Computing Science & Programming I

An elementary introduction to computing science and programming as a problem-solving tool. Fundamental concepts and terminology of computing science will be introduced. Programming skill will be obtained by using a high-level language. Topics will include: abstraction, data types and control structures, fundamental algorithms and pseudocode, computability and complexity, and computer architecture.

Course Credits: 3
Prerequisite(s): None. (3-1-3 or 3-1-3)
2021-2022 CMPT 150

Introduction to Discrete Math

An introduction to those branches of pure mathematics which are most commonly used in the study of Computing Science and/or have other practical applications. Topics include logic, proofs, switching circuits, set theory, induction, functions, languages, finite automata, combinatorics, and algebraic structures.

Course Credits: 3
Prerequisite(s): Mathematics 12, MATH 101 or the equivalent. (3-1-0 or 0-0-0)
NB: Not offered every year See department chair
Cross-listed: MATH 150
2021-2022 CMPT 166

Introduction to Computing Science and Programming II

A rigorous introduction to computing science and computer programming. Students will learn in- depth programming concepts by seeing how object oriented (OO) concepts are employed in the design and writing of code in a variety of notations. The emphasis is on the theory of OO programming and design of solutions, as well as implementation using an OO language such as Java or C++.

Course Credits: 3
Prerequisite(s): CMPT 140 with a minimum grade of C+. (0-0; 3-3)
2021-2022 CMPT 200

Computing Projects

In this course, students choose to work on a particular computing project. Possible projects include: a second or third computer language, computer applications in the arts and sciences, ethical issues, computer security, networking, or a major software project. Enrolment is strictly limited, and instructor's consent is required.

Course Credits: 1, 2, 3
Prerequisite(s): CMPT 166. (3-3 or 3-3)
NB: Not offered every year See coordinator of academic computing for permission to take this course.
2021-2022 CMPT 211

Web Technologies I

An introduction to web application development using current web technologies, best practices, and standards. The modern web application framework will be studied.

Course Credits: 3
Prerequisite(s): CMPT 166. (3-3 or 3-3)
NB: Not offered every year See department chair
2021-2022 CMPT 231

Data Structures and Algorithms

Basic organization of programs, optimizing program structure, modularization, data structures, search and sorting algorithms, handling large data sets, analysis of algorithms.

Course Credits: 3
Prerequisite(s): CMPT 150 and 166. (3-3 or 3-3)
2021-2022 CMPT 242

Computing Machine Organization

An introduction to assembly language, machine architecture, low-level components of the operating system, and other low-level issues.

Course Credits: 3
Prerequisite(s): CMPT 140 or equivalent. (3-3 or 3-3)
NB: Not offered every year See department chair
2021-2022 CMPT 325

Computer Networking

This course looks at network protocols, network operating systems, and the construction and maintenance of server sites.

Course Credits: 3
Prerequisite(s): CMPT 150, 231 and MATH 123. (3-0-3 or 3-0-3)
NB: Not offered every year See department chair
2021-2022 CMPT 330

Numerical Analysis

This course covers numerical techniques for solving problems in applied mathematics, including error analysis, roots of equations, interpolation, numerical differentiation and integration, ordinary differential equations, matrix methods and selected topics from among: eigenvalues, approximation theory, non-linear systems, boundary-value problems, numerical solution of partial differential equations.

Course Credits: 4
Prerequisite(s): MATH 223, 250; CMPT 140; or equivalent. (4-0 or 4-0)
NB: Not offered every year See department chair
Cross-listed: MATH 330
2021-2022 CMPT 334

Principles of Operating Systems

Operating system and control software at a low level, memory management, processor management, storage management, and system architecture are among the topics considered.

Course Credits: 3
Prerequisite(s): CMPT 150 and 231. (3-0-3 or 3- 0-3)
NB: Not offered every year See department chair
2021-2022 CMPT 339

Introduction to Database Management Systems

An introduction to database management systems, overviewing issues related to the design, organization, and management of databases. Topics include logical database design, entity relationship (ER) models, and formal relational query languages such as the Structured Query Language (SQL).

Course Credits: 3
Prerequisite(s): CMPT 166, 231. (3-2 or 3-2)
NB: Not offered every year See department chair
2021-2022 CMPT 340

Discrete Structure and Computing

This is a second course in the topics of pure mathematics, particularly those most commonly used in the study of computing science and related applications. It includes proof techniques, models of computation, formal languages, analysis of algorithms, trees and advanced general graph theory with applications, finite state and automata theory, encryption, and an elementary introduction to mathematical structures such as groups, rings, and fields.

Course Credits: 3
Prerequisite(s): CMPT 150 or MATH 150.
NB: Not offered every year See department chair
Cross-listed: MATH 340
2021-2022 CMPT 360

Comparative Programming Languages

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. They will also learn how to select appropriate programming notations for a given project. Programming will be undertaken in at least three OS environments.

Course Credits: 3
Prerequisite(s): CMPT 140, 166 and 231. (3-0-3 or 3-0-3)
NB: Not offered every year See department chair
2021-2022 CMPT 370

Computer Graphics

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.

Course Credits: 3
Prerequisite(s): CMPT 150, 166, 231; MATH 250. (3-3 or 3-3)
NB: Not offered every year See department chair
2021-2022 CMPT 380

Artificial Intelligence

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.

Course Credits: 3
Prerequisite(s): CMPT 150, 166, 231
NB: Not offered every year See department chair
2021-2022 CMPT 382

Machine Learning

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. Topics include identification and extraction of useful features that best represent available data, some of the most important machine learning algorithms, and the evaluation of algorithms performance.

Course Credits: 3
Prerequisite(s): CMPT 166, 231 (or with permission of instructor)
2021-2022 CMPT 385

Introduction to Software Engineering

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.

Course Credits: 3
Prerequisite(s): CMPT 150, 166, and 231. (3-3; 0-0)
NB: Not offered every year See department chair
2021-2022 CMPT 386

Software Engineering II

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

Course Credits: 3
Prerequisite(s): CMPT 385. (0-0; 1-6)
NB: Not offered every year.