Four students sitting at a table studying on computers and laughing

Courses

A summary of each course to help with your selection.

Academic Year

Programs

Course ID

Course ID	Course
CMPT 301	CMPT 301 Special Topics in Computing Science Course Credits: 3 Focuses on specialized areas in computing to build depth and strengthen technical competence beyond the fundamentals. Students learn established approaches and apply them effectively to well-defined problems. Topics and pre-requisites vary by offering and reflect current trends and faculty expertise.
CMPT 317	CMPT 317 Scientific Computation Course Credits: 3 Symbolic and numerical computations used in scientific modelling based on Calculus and Linear Algebra, with emphasis on applications in physics and biology. Topics include error analysis, linear systems, roots of equations, interpolation, numerical differentiation, and integration. Further topics may include: eigenvalues and singular values, approximation theory, and non-linear systems. Cross-listed: MATH 317 Prerequisite(s): MATH 124, MATH 250, and CMPT 140. NB: Credit is granted for only one of MATH/CMPT 317 and MATH/CMPT 327 and MATH/CMPT 330.
CMPT 325	CMPT 325 Computer Networking Course Credits: 3 This course looks at network protocols, network operating systems, and the construction and maintenance of server sites. Prerequisite(s): CMPT 150, 231 and MATH 123 NB: Not offered every year. See department chair.
CMPT 327	CMPT 327 Numerical Analysis Course Credits: 4 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. Cross-listed: MATH 330 Prerequisite(s): MATH 223, 250; CMPT 140. (4-0) NB: Credit is granted for only one of MATH/CMPT 317 and MATH/CMPT 327 and MATH/CMPT 330.
CMPT 334	CMPT 334 Principles of Operating Systems Course Credits: 3 Operating system and control software at a low level, memory management, processor management, storage management, and system architecture are among the topics considered. Prerequisite(s): CMPT 150 and 231 NB: Not offered every year. See department chair.
CMPT 339	CMPT 339 Introduction to Database Management Systems Course Credits: 3 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). Prerequisite(s): CMPT 166, 231 NB: Not offered every year. See department chair.
CMPT 340	CMPT 340 Discrete Structures & Computing Course Credits: 3 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. Cross-listed: MATH 340 Prerequisite(s): CMPT 150 or MATH 150 NB: Not offered every year. See department chair.
CMPT 345	CMPT 345 Simulation & Modeling Course Credits: 3 This course is designed to give students the ability to analyze, formulate, and program problems related to discrete simulation methods. The course introduces students to queuing theory and some commonly used continuous and discrete statistical distributions. By the end of the course, students are able to simulate real world computer systems and industrial manufacturing systems. Prerequisite(s): CMPT 166 and 231
CMPT 360	CMPT 360 Comparative Programming Languages Course Credits: 3 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. Prerequisite(s): CMPT 140, 166 and 231 NB: Not offered every year. See department chair.

Resources