Computer Science

Overview
Course List
Academic Planning
Faculty and Staff
Contact Information

Computer science isn’t just about technology; it’s about connecting technology with people. As a computer science student, you study the nature and techniques of problem solving through computation, focusing on hardware, software, mathematics and logic. But you also learn that computer science influences—and is influenced by—many fields of study, including science, humanities, health care and business.

Computer Science is available as a major or minor if you are pursuing a Bachelor of Science degree and as a minor if you are pursuing a Bachelor of Arts degree. There are four computer science streams:

General

The general computer science stream of courses is required for all computer science majors. Its focus is to develop problem-solving skills using the computer and project management skills required to complete projects, both large and small.

Databases and interactive visualization

Learn to design, implement and support large-scale database applications and transform data into visual representations that enhance understanding and facilitate data exploration. Analyze and mine big data using intelligent tools such as association rules, classifications, clustering and data warehousing.

Systems and information security

Gain the knowledge and develop the skills and abilities required for systems software development, networking and cybersecurity. Required courses cover both the theoretical and practical aspects of operating systems, networking and cybersecurity. Students who graduate from this stream should be able to challenge entry-level certification exams in cybersecurity.

Video gaming

Focusing on the inherently human aspect of gaming, you learn not just about about the creation of games, but of good games. Study the technical and artistic aspects of software game development. Develop the design and implementation skills required in the video game industry.

100-level
200-level
300-level
400-level
Special Topics

The course list identifies approved courses that MacEwan University may offer. Not all courses will be offered every year and some courses are restricted to particular programs. Contact an advisor in your program for information on course availability.

2019/20

CMPT 101 - Introduction to Computing I

CMPT 103 - Introduction to Computing II

CMPT 104 - Fluency with Information Technology

2019/20

Computer Science

CMPT 200 - Data Structures and Algorithms

CMPT 201 - Practical Programming Methodology

CMPT 204 - Algorithms I

CMPT 220 - Unix, Scripting, and Other Tools

CMPT 229 - Computer Organization and Architecture

CMPT 230 - Introduction to Computer Games

CMPT 250 - Introduction to Human Computer Interaction

CMPT 272 - Formal Systems and Logic in Computing Science

CMPT 280 - Introduction to Computer Security

CMPT 291 - Introduction to File and Database Management

2019/20

Computer Science

CMPT 305 - Introduction to Object-Oriented Programming

CMPT 306 - Non-Procedural Programming Languages

CMPT 310 - Computers and Society

CMPT 311 - Phenomenon of Technology

CMPT 315 - Web Application Development

CMPT 330 - Introduction to Real Time Gaming

CMPT 340 - Introduction to Numerical Methods

CMPT 351 - Human Computer Interaction: Usability

CMPT 355 - Introduction to Artificial Intelligence

CMPT 360 - Introduction to Operating Systems

CMPT 361 - Introduction to Networks

CMPT 370 - Introduction to Computer Graphics

CMPT 380 - Computer Systems Security

CMPT 391 - Database Management Systems

CMPT 395 - Introduction to Software Engineering

CMPT 398 - Independent Study

CMPT 399 - Topics in Computer Science

2019/20

Computer Science

CMPT 430 - 3D Game Development and Artificial Intelligence

CMPT 450 - Information Visualization

CMPT 464 - Wireless Networks and Embedded Systems

CMPT 480 - Computer Network Security

CMPT 491 - Datamining and Advanced Database Topics

CMPT 496 - Final Project

CMPT 498 - Advanced Independent Study

CMPT 499 - Topics in Computer Science

Fall 2019

CMPT 399: Topics in Computer Science

Topic: Numerical Methods

Instructor: Dr. Ron Meleshko

This course provides an overview of computational methods for solving problems in linear algebra, non-linear equations, interpolation and approximation, optimization and integration. The emphasis is on numerical methods used in machine learning. Computer arithmetic and errors are discussed. The necessary mathematical background for the methods is introduced as needed. The aim is to have students able to select an appropriate method for the problem at hand and to be aware of the limitations of the method.

Prerequisites: A minimum of C- in CMPT 201, in both MATH 114 and MATH 120/125, and consent of the department .

How to Enrol: To enrol, students need to email Dr. Meleshko.

Permission Required: Yes

Winter 2020

CMPT 399: Topics in Computer Science

Topic: Introduction to Machine Learning

Instructor: Dr. Dana Cobzas

Machine learning (ML) is the science of making computers perform tasks without being explicitly programmed. There is a multitude of real world applications of ML (e.g., speech recognition, advanced web search and information retrieval, self-driven cars). In fact ML is used in almost any computer application without even knowing it. This class teaches the most effective machine learning techniques, along with practical skills for implementing and adapting them to new problems. Topics include linear regression, classification, SVM, regularization, unsupervised learning, dimensionality reduction and neural networks.

Prerequisites: A minimum of C- in CMPT 201 and STA151 as well as consent of the department.

How to Enrol: To enrol, students need to email Dr. Dana Cobzas.

Permission Required: Yes

CMPT 399: Topics in Computer Science

Topic: Social Media Analytics

Instructor: Indratmo

Social media is pervasive in today's life and used widely by government agencies, companies, universities and organizations for communication. Through research and discussion, students learn the role of social media in society and how to leverage social media data to inform the decision-making process. Students design and develop software applications that interact with application programming interfaces (APIs) of social media applications to retrieve, analyze and explore data to gain insights into the data.

Prerequisites: A minimum of C- in CMPT 305 and consent of the department.

How to Enrol: To enrol, students need to email Dr. Indratmo.

Permission Required: Yes

The information you will need to plan your degree and your major or minor in computer science can be found under Current Students.