Computer Systems Technology

Information technology professionals spend time each day communicating orally and in writing with their supervisors, colleagues and clients. As problem-solvers and entrepreneurs in industry, you need to communicate quickly, clearly, and effectively. This course will teach you how to be a professional and efficient communicator at work. You will write effective business correspondence and instructions and deliver a formal oral presentation to your set. The first term establishes the principles and basic patterns on which you will build more advanced applications in the second term.
Prerequisite(s):

• No prerequisites are required for this course.

The course covers topics of importance to new and continuing students on how to balance school and related activities to enhance chances of success in their academic careers. In this course students will learn a variety of different techniques to improve study habits, note taking, and time management skills. The class will also present other topics of interest to CST students and will introduce students to various support systems at BCIT.
Prerequisite(s):

• No prerequisites are required for this course.

Comp 1113 is partially discrete mathematics, partially an introduction to linear equations. The purpose of this course is to give a strong foundation for future technical and programming courses. The course is divided into three parts: (1) Boolean algebra and design of logic circuits; (2) number systems and data representation; and (3) functions, linear equations, vectors and matrices.
Prerequisite(s):

• No prerequisites are required for this course.

This hands-on course is the foundation for all future programming courses and complements COMP 1537 and COMP 1800. This course introduces the fundamental concepts of programming including design, development, testing, debugging simple programs, as well as error-handling, and problem solving.
Prerequisite(s):

• No prerequisites are required for this course.

This course focuses on programming both front and back end for web application development using JavaScript on both front-end and back-end development. Topics include AJAX, DOM editing with JavaScript & jQuery, and JSON.
Prerequisite(s):

• No prerequisites are required for this course.

Business Analysis and Systems Design is the study of concepts, processes and tools that professionals use to plan and develop information systems to industry standards. Students learn how to ask implicit questions, to create and document communication plans and to make better decisions prior to creating a software system. Beginning with an introduction to the Software Development Life Cycle (SDLC), students work in teams to initiate the system process, analyze problems, discover requirements and create a logical design. Topics include: techniques used in the discovery of business requirements, traditional approaches to data and process modelling, entity-relationship diagrams, and an introduction to relational database normalization. Agile life cycles such as Scrum are also introduced and compared to more planned life cycles such as waterfall. By the end of this course, successful participants will be able to use tools and methods commonly used in industry to analyze, design, and implement information systems as confirmed by a term project.
Prerequisite(s):

• No prerequisites are required for this course.

Students learn to work in a collaborative environment and complete a small-scale software project: a mobile-friendly web application. The course is focused on developing the essential technical skills that will allow a student to develop a functional web application project. The course takes students through the UX design process which includes creating and administering surveys & interviews, creating personas and user stories, designing wireframes, and performing user tests with a developed implementation that is based on the UX design process. Students will use the Agile methodology to manage the software process. Software management workflow also includes using Git from the command-line for version control basics in a collaborative workflow. Students will apply web technologies such as JavaScript, CSS, and HTML. Data persistence may be optionally achieved using NoSQL data technology solution.
Prerequisite(s):

• COMP 1510^‡ and COMP 1537^‡ (^‡ must be taken concurrently)

This course focuses on some of the finer points of web development and design including the implementation of current UX/UI trends in Progressive Web Applications (PWA) such as highly dynamic and animated applications, creating data visualizations, and serving up various types of content such as audio, video, and imagery in different formats to support different device and bandwidth needs.
Prerequisite(s):

• COMP 1510 and COMP 1537 and COMP 1800
• COMP 2800^‡ (^‡ must be taken concurrently)

Students work in teams of four or five to complete an advanced mobile-friendly web application in a real-world domain. Teams will proceed through the majority of the software development lifecycle, from requirements gathering to specification, UI/UX design, to implementation and delivery. The course is focused on developing teamwork and project management skills as well as an understanding of the development lifecycle. The project will simultaneously allow students to apply their previously-developed technical knowledge. Students are challenged to effectively apply new technologies such as AI and cloud computing to achieve project goals. Prerequistes: COMP 1510, COMP 1537, COMP 1800 Co-requisite: COMP 2537
Prerequisite(s):

• COMP 1510 and COMP 1537 and COMP 1800
• COMP 2537^‡ (^‡ must be taken concurrently)

Information technology professionals spend time each day communicating orally and in writing with their supervisors, colleagues and clients. As problem-solvers and entrepreneurs in industry, you need to communicate quickly, clearly, and effectively. This course will build on the skills you learned in first term to be an efficient and professional communicator at work. You will learn how to conduct an effective job search and write the accompanying resume and cover letter to support it. You will also write effective reports, deliver a persuasive oral presentation to your set, and participate effectively in meetings and group work. You will prepare a formal report and present it orally and in writing.
Prerequisite(s):

• 50% in COMM 1100 or 50% in COMM 1103 or 50% in COMM 1106 or 50% in COMM 1111 or 50% in COMM 1116 or 65% in COMM 1142 or 50% in COMM 1169

Discrete Mathematics concerns processes that consist of a sequence of individual steps. The ideas of discrete mathematics underline the science and technology specific to computer applications. The Discrete Mathematics course provides the mathematical basis and concepts for applications in computer science: elementary logic, the logic of quantified statements, methods of proof, set theory, discrete functions, relations, counting and probabilities, sequences and mathematical induction, recursion, graphs, trees, and Boolean algebra.
Prerequisite(s):

• 50% in COMP 1113 or 60% in COMP 1114

This hands-on course follows on from COMP 1510. This course covers the fundamental concepts of design, development, testing, and debugging intermediate-level programs in a procedural language. Topics include language syntax, data abstraction and encapsulation, error handling, and the implementation of selected data structures and algorithms.
Prerequisite(s):

• COMP 1510 or (PTS equivalents COMP 1409 and COMP 1451).

This hands-on course follows on from COMP 1510. This course covers the fundamental concepts of design, development, testing, and debugging intermediate-level programs with an object-oriented programming language. Topics include language syntax, data abstraction, encapsulation, inheritance, polymorphism, and exception handling. Design Patterns and Graphical User Interfaces will be applied to appropriate problems.
Prerequisite(s):

• COMP 1510

This course covers relational database technology, including basic concepts, relational algebra, enhanced entity-relationship data modeling, functional dependencies and normalization, design methodology, SQL query language (DDL and DML), views, access control and transaction management. Students design and implement a database application using RDBMS. Also covers some current database trends such as data warehousing and OLAP and use of databases through web technology.
Prerequisite(s):

• COMP 1712

Computer organization is a fundamental topic for computer science students and for any future programmers. The course gives a good understanding of the computer hardware and how software is built on a specific hardware. The computer is regarded as a hierarchy of levels, each one performing some well-defined functions from the device level (hardware) to the problem-oriented language level. Each level is discussed and analyzed in detail.
Prerequisite(s):

• COMP 1113 and COMP 1510

This course focuses on some of the finer points of web development and design including the implementation of current UX/UI trends in Progressive Web Applications (PWA) such as highly dynamic and animated applications, creating data visualizations, and serving up various types of content such as audio, video, and imagery in different formats to support different device and bandwidth needs.
Prerequisite(s):

• COMP 1510 and COMP 1537 and COMP 1800
• COMP 2800^‡ (^‡ must be taken concurrently)

Students work in teams of four or five to complete an advanced mobile-friendly web application in a real-world domain. Teams will proceed through the majority of the software development lifecycle, from requirements gathering to specification, UI/UX design, to implementation and delivery. The course is focused on developing teamwork and project management skills as well as an understanding of the development lifecycle. The project will simultaneously allow students to apply their previously-developed technical knowledge. Students are challenged to effectively apply new technologies such as AI and cloud computing to achieve project goals. Prerequistes: COMP 1510, COMP 1537, COMP 1800 Co-requisite: COMP 2537
Prerequisite(s):

• COMP 1510 and COMP 1537 and COMP 1800
• COMP 2537^‡ (^‡ must be taken concurrently)

This hands-on course follows on from COMP 2510 and COMP 2522. This course covers the advanced concepts of design, development, testing, and debugging intermediate-level programs with an object-oriented programming language. Topics include language syntax, design patterns, multiple inheritance (using classes and/or interfaces).
Prerequisite(s):

• COMP 2510 and COMP 2526 or COMP 2522

This hands-on course introduces Android Application Development on mobile and tablet platforms to experienced Java Application Developers. Continuing on from COMP 2526, the Java programming language is used to develop, debug and deploy Android applications. Labs and assignments explore and use the Android SDK tools - avd, adb, ddms, etc., to configure and troubleshoot Android applications on the emulator(s). Topics include: Designing user interfaces with Views, Fragments, Layouts and Activities. Students learn to manage Android Resources, work with Manifest files, Persist data using SQLite DB, Create Services and Content Providers. Other topics of discussion include Location Based Services, Telephony, Multimedia APIs and Cloud to Device Messaging. By the end of this course successful participants will complete a final project which includes building, packaging and publishing an Android application for a mobile device or tablet.
Prerequisite(s):

• COMP 2522

This course covers the basic concepts and terminologies related to data communications, networking and network topologies. Students will learn about the TCP/IP protocol suite and the principles of protocols at the physical, data link, network and transport layers, the characteristics of transmission media, analog/digital transmission, multiplexing/switching techniques, basic error detection and correction, elementary data link protocols, flow control and an introduction to routing and congestion control issues. Multiple access protocols, the UDP and TCP protocols, networking and internetworking devices, LANs and WANs will also be discussed.
Prerequisite(s):

• COMP 2721

In this course, students will develop their ability to analyze and design computer algorithms. In particular, students will analyze the time and space complexity of programs, solve difficult programming problems using algorithmic techniques, and prove that their solution is correct. The emphasis will be on developing the practical skills of analysis and design. Topics covered may vary each term.
Prerequisite(s):

• COMP 2121 and COMP 2510 and COMP 2522

The course introduces descriptive and inferential statistics. The descriptive statistics will concentrate on using these methods for exploratory data analysis. Basic probability and probability distributions are used with an emphasis on their use in computer simulation methods. Inferential statistical methods and regression are introduced to lay the groundwork for decision making and prediction. In all parts of the course, current computer applications (i.e. R) will be used to perform statistical analyses and simulation programming.
Prerequisite(s):

• COMP 2121

Allows students to work on projects within guidelines specified by faculty. The projects are drawn from a variety of sources, especially from industrial situations, and may require extensive contact with the business community. Students work in teams and seek advice from a faculty member acting as their project supervisor.
Prerequisite(s):

• Completion of first year CST and admission into a CST option.

This course provides an introduction to the various topics in artificial intelligence. Topics to be covered include search, games, constraint satisfaction problems, knowledge and reasoning, and learning. Students will develop an understanding of the basic concepts and algorithms used in artificial intelligence. Application of artificial intelligence to problems in different domains will also be discussed.
Prerequisite(s):

• Completion of first year CST and Admission into the Artificial Intelligence and Machine Learning Option.

This course provides in-depth understanding of developing and analyzing distributed systems. The focus is on developing distributed systems on desktop as well as mobile environments and analyzing the impact of networking technologies on their performance, reliability, scalability, consistency and security. Students will develop distributed applications using sockets / datagrams / multicast sockets, processes/threads/pipes/FIFOs; middleware that may include COM/DCOM or RPC; and web technologies.
Prerequisite(s):

• Completion of first year CST and Admission into the Client Server Option.

In this course students learn how to utilize a wide variety of resources and services available on cloud computing platforms. Topics include characteristics of cloud computing; cloud deployment models; cloud platform architectures; cloud computing platforms and comparative analysis; cloud compute resources including virtual machine instances, load balancers, auto scaling groups, and snapshots; cloud networking, with an emphasis on virtual private clouds (VPCs); cloud storage and content delivery, cloud-hosted databases, and cloud security models including user identity, access management, and resource security. Students will build their skills by participating in in-class interactive lectures, hands-on lab activities, and working on comprehensive assignments.
Prerequisite(s):

• Completion of first year CST and Admission into the Cloud Computing Option

This hands-on course introduces server-side scripting using PHP (PHP: Hypertext Preprocessor) an open-source, platform-independent, server-side web scripting language. Topics include: PHP theory and syntax, textfile manipulation, cookies, regular expressions, sessions, graphics, and database interactions. By the end of this course, students have learned the major functions of PHP server-side scripting and how to freely obtain a wide variety of open-source software tools and code libraries. Students also learn how to write reusable classes and object-oriented scripts. Students will use popular PHP frameworks such as Laravel and/or Yii in addition to unit-testing frameworks such as SimpleTest or PHPUnit. Students also learn how to create secure sessions, apply hashing and encryption techniques, and use the PHP command line interface.
Prerequisite(s):

• Completion of first year CST and Admission into the Combined (Web/Mobile) Option

This course is for students who have a special interest in database technology. Topics include: the importance of data in an organization; relational algebra and advanced SQL; conceptual, logical and physical data modeling; functional dependencies and normal forms; data integrity; data access methods including hashing and indexing; external sorting techniques; database design, implementation, administration and programming; performance tuning and optimization. Students will use common industry database software products such as Microsoft SQL Server and/or Oracle DBMSs.
Prerequisite(s):

• Completion of first year CST and Admission into the Database Option.

​This course is an introduction to protocol design and implementation using POSIX platforms such as Linux. Introduction of basic synchronous and asynchronous protocols and device interfaces. POSIX systems-level programming and multithreaded applications design and implementation. Interfacing to Communications hardware such as RFID transceivers, GPS devices, and wireless modems. Design and implementation of bit and character-oriented protocols. Introduction to wireless communication protocols and implementation of error detection/correction algorithms. Also covered will be embedded applications development using boards such as the Arduino, Raspberry Pi, and Beagle boards. Introduction to POSIX server services deployment and security.
Prerequisite(s):

• Completion of first year CST and Admission into the Data Communications and Internetworking Option.

The course will examine the fundamental issues surrounding digital audio. Concepts such as the basics of digital sound (Nyquist, re-sampling, quantization errors, frequency spectrum, DFT), and the techniques to alter sound waves using filters will be covered. Compression algorithms as it relates to sound will also be inspected (eg. Adaptive Difference PCM, MPEG for audio). Development of one or two major projects using the students language of choice (C, C++, C#, Java).
Prerequisite(s):

• Completion of first year CST and Admission into the Digital Processing Option.

The course covers design and implementation of large software systems. The emphasis is on web-enabled or distributed systems such as corporate web sites, banking systems, order entry and processing systems, and even distributed games or mobile clients. The programming component emphasizes Java Enterprise Applications, including Java Server Faces, database access, concurrency, distributed objects, and web applications. Students use these technologies to develop small multi-tier web applications.
Prerequisite(s):

• Completion of first year CST and Admission into the Information Systems Option.

This code intensive course introduces modeling techniques for predicting binary, probability, ordinal and categorical outcomes. Modeling includes popular forms of regression and clustering. Introductory math and statistics behind the fundamental models are discussed and practiced. Use cases and exercises examine eliminating bias at each step of the modeling process. Common sampling methods for training and testing are used to assist with model validation. Techniques for treating missing values, transforming outliers, manufacturing variables and selecting variables are covered. Dimension reduction through principal component analysis is introduced. Analysis of variance is studied and also enhanced with factor analysis. Course work iterates over exploratory analysis and model reporting phases with statistical summaries and visual analytics for reinforcement of learning.
Prerequisite(s):

• Completion of first year CST and admission into the Predictive Analytics Option.

This course introduces functional programming techniques and data structures. The course looks at the features that a functional language provides that allow developers to write expressive and concise programs. Topics covered include higher-order functions, algebraic data types, data abstraction and the implementation of selected data structures.
Prerequisite(s):

• Completion of first year CST and admission into the Programming Paradigms Option.

Students work on projects within guidelines specified by faculty. Students will work in teams and come up with their own business idea that solves a real-world need for customers. Students will work directly with potential customers to validate their business idea and seek advice from a faculty member acting as their project supervisor. Entrance into the BCIC New Ventures BC Competition is optional, but highly recommended.
Prerequisite(s):

• Completion of first year CST and Admission into the Tech Entrepreneur Option.

This course is designed to enhance the students’ programming skills and abilities and expose them to the newest tools and technologies. The course is focused on application development using as vehicle of instruction the .NET framework and the C# language. The main topics are: Microsoft .NET framework, Common Language Runtime, the .NET Framework Library, Common Language Specification, managed code, object-oriented programming in C#, graphical user interfaces with Windows forms, dynamic-linked libraries, custom and user controls, and unit testing. The students will learn the C# language, compare it with other languages (C++ and Java), and enhance their Object-Oriented skills by developing software applications.
Prerequisite(s):

• Completion of first year CST and Admission into the Technical Programming Option.

​This course covers the important aspects of design, development and management of web APIs. It covers what RESTful APIs are and why they matter. It reviews how HTTP and REST APIs are related, talks about CRUD operations; explores the constraints of REST, and discusses the uses of HTTP status codes.
Prerequisite(s):

• COMP 1537 and COMP 3522

​This course introduces basic concepts in operating systems with a focus on using concurrent programming: processes and threads, inter-process communication (IPC), synchronization and mutual exclusion, deadlock and starvation with an introduction to memory organization. Supporting theory includes overall operating system structure, operating systems services, how these services are used, and kernel architecture. To illustrate the concepts, each topic includes examples of using these services in programs using an operating system. With the concepts learnt in this course, the students will be able to analyze existing concurrent solutions and design and implement concurrent software applications.​
Prerequisite(s):

• 50% in COMP 2510 and 50% in COMP 2721

​The course examines ethical and legal issues related to employment as a computing professional, including tensions between personal interests, interests of the company and interests of clients. This course identifies and examines a range of ethical dilemmas likely to be encountered by professionals in the computing industry. Students will be given the theoretical tools to identify and analyze the issues, evaluate them, and propose solutions. Students will develop competence in moral reasoning through examining case studies that describe ethical and legal problems including: Employment (e.g., resume padding, resume fraud, employment contract, conflict of interests, rights and duties of employers and employees, etc.) Remote work (e.g., productivity, trust, opportunities for promotions, privacy, security, etc.) Contracts (e.g., non-disclosure and non-compete agreements, contract law, freedom and autonomy, etc.) Internet fraud (e.g., cybercrime, fraud, hacking, spoofing, phishing, dark patterns, etc.) Property rights (e.g., intellectual property, trade secrets, copyright, patents, open-­­source code, screen scraping, selecting software licenses, etc.) Data (e.g., data storage, data privacy, data residency, data custody, professional negligence, legal data protection, hacking, spoofing, phishing, fiduciary obligations, etc.)​. The course is required for the CST Diploma and will be offered in the spring (May) and winter (January) terms.​
Prerequisite(s):

• BCIT ENGL 1177, or 6 credits BCIT Communication at 1100-level or above, or 3 credits of a university/college first-year social science or humanities course.

Allows students to work on projects within guidelines specified by faculty. The projects are drawn from a variety of sources, especially from industrial situations, and may require extensive contact with the business community. Students work in teams and seek advice from a faculty member acting as their project supervisor.
Prerequisite(s):

• Completion of first year CST and admission into a CST option.

​Allows students to work on projects within guidelines specified by faculty. The projects are drawn from a variety of sources, especially from industrial situations, and may require extensive contact with the business community. Students work in teams and seek advice from a faculty member acting as their project supervisor.
Prerequisite(s):

• Completion of first year CST and admission into a CST Option.

​Allows students to work on projects within guidelines specified by faculty. The projects are drawn from a variety of sources, especially from industrial situations, and may require extensive contact with the business community. Students work in teams and seek advice from a faculty member acting as their project supervisor.
Prerequisite(s):

• Completion of first year CST and admission into a CST Option.

This course covers the concepts and models in machine learning including regression, classification, clustering, dimensionality reduction and kernel methods. Students will apply different machine learning techniques to data sets through the components of a machine learning system that includes data ingestion, preprocessing, model training, testing and deployment. In addition, practical aspects, including limitations as well as techniques to evaluate the performance of machine learning systems will be examined.
Prerequisite(s):

• COMP 3981 and COMP 3760

In this course, students will explore different practical applications of artificial intelligence and machine learning through a series of in-depth case studies. The case studies to be covered will reflect current trends in the industry. Topics may include spam filtering, product recommendation, price prediction, information retrieval, speech recognition and autonomous driving. Students will also work together to design and develop a product using real-world data sets.
Prerequisite(s):

• COMP 3981 and COMP 3760. Corequisites: COMP 4983

This course is an extension to COMP 3940 and provides in-depth knowledge of the principles and practice of client/server & distributed systems design. The focus is on examining strategies and algorithms to achieve design goals such as performance, reliability, scalability, consistency, and security in a distributed system. Some of the topics that will be covered include: Concurrency Control, Recovery and Performance considerations in multi-user and distributed data servers; Replication, Security and Fault Tolerance in distributed systems & the design and development of client/server based database applications.
Prerequisite(s):

• 50% in COMP 3940

This course focuses on advanced topics in Client/Server Systems, Distributed Systems, and Network Computing. Topics reect state-of-the-art technologies being used to develop such systems and also current trends in this area. Some of these topics include: distributed objects, cloud computing, multimedia systems,web technologies and aspects of mobile computing. The emphasis is on architecting open and interoperable services.
Prerequisite(s):

• 50% in COMP 3940

In this course students learn how to utilize automated software deployment, continuous integration, continuous delivery and continuous monitoring tools in cloud computing environments according to DevOps (development & operations) practices. This course is tightly integrated with COMP 4968 (Programming in the Cloud). Topics include software creation and distribution models, software release processes (source, build, test, production), cloud management tools, resource provisioning, software configuration management (SCM), continuous integration (source, build), continuous delivery, continuous (automated) deployment, and continuous monitoring. Students will build their skills by participating in in-class interactive lectures, hands-on lab activities, and working on comprehensive assignments.
Prerequisite(s):

• COMP 3962

In this course students learn to how design and develop software natively for cloud computing platforms. This course is tightly integrated with COMP 4964 (DevOps Engineering - Cloud). Topics include software application patterns and architectures, fundamentals of distributed processing, re-architecting (refactoring) applications for the cloud, migrating applications to the cloud, hybrid architecture development (on-premises and cloud), cloud application services, cloud development tools, containerization, container orchestration, serverless computing platforms and microservices (event-driven) architecture. Students will build their skills by participating in in-class interactive lectures, hands-on lab activities and working on comprehensive assignments.
Prerequisite(s):

• COMP 2526 and COMP 3962

This hands-on course is designed for those who are already familiar with an Object Oriented programming language such as Java or C++. Students are introduced to web application development using C# and the Microsoft ASP.NET Framework. The course provides an overview of the Microsoft .NET framework as well as an introduction to the C# programming language. Topics include: ASP.NET Server controls, Data Binding, LINQ, Entity Framework, Code First development, Web API, Odata, ASP.NET MVC, SignalR, ASP.NET State management, Data Validation, and Single Page Applications.
Prerequisite(s):

• Completion of first year CST and Admission into the Combined (Web/Mobile) Option.

This hands-on course is designed for students who are able to code medium sized applications in an Object-Oriented language. Students design and develop apps to Apple standards for the latest iOS platform. Participants will be required to specify, design and build a significant iOS application. The course starts with an overview of the Swift programming language, followed by an introduction to the iOS platform. Special attention is given to the user interface components of current popular iPhone and iPad applications.
Prerequisite(s):

• Admission into the Combined (Web/Mobile) Option, COMP 3717, COMP 3522.

This course is for students who have a special interest in database technology. Topics include: database transactions, concurrency control and recovery techniques in multi-user database systems, database security, distributed databases, and current trends in database technologies. Students will use common industry database software products such as Microsoft SQL Server and/or MySQL DBMSs.
Prerequisite(s):

• 50% in COMP 3920

This course focuses on advanced topics in database technologies, database systems design and development tools, data management, enterprise servers and systems, and relevant related areas. Topics reflect on the current trends in the use of databases in the industry. Some of these topics include: business intelligence, data warehousing and OLAP, databases on the web, database applications based on 3-tier and n-tier models, development for enterprise systems, and connectivity and GUI development.
Prerequisite(s):

• COMP 3920

Exploration of ideas of communication, concurrency, and asynchronous operation at the operating system level. Covers advanced Linux Systems software development for Data Communications and networking. TCP/IP Network applications development using the Berkeley socket interface. Design and implementation of Client-Server models on the Linux environment using IPC and TCP/IP. Coverage of selected topics such as Multicasting, Raw Sockets, and ICMP.
Prerequisite(s):

• 50% in COMP 3980 and 50% in COMP 3721 and 50% in COMP 3522

Covers advanced Windows Systems Programming for Data Communications. Develop TCP/IP Interneworking applications using the Windows Socket API. Develop Windows client-server models using Internet Protocol Suite. Design and implement Multimedia Communication Applications using the Internet Protocol Suite. Design and implementation of Mobile Network Applications on the Android platform.
Prerequisite(s):

• 50% in COMP 3522 and 50% in COMP 3721 and 50% in COMP 3980

This course will examine digital image processing. Topics will include: Compression and file formats, and processing techniques done on images. A paper will be examined plus two large assignments will be developed. Specific topics may change as the field is fairly volatile. Topics in the past included: Huffman algorithm (various improved versions as well), DCT and the JPEG standard, introduction to wavelet theory, MPEG2 standard, filtering images using convolution (various filter types), warping and morphing, other standard image processing techniques.
Prerequisite(s):

• 50% in COMP 3931

Concentrates on gaming system architectures and provides an introduction to gaming graphics (DirectX/OpenGL/MFC etc.) and basic game design. Course materials cover the game system architectures and programming requirements for realtime graphics for gaming. Students develop small demonstration games or projects applying knowledge gained from previous option courses and their concurrent graphics programming courses.
Prerequisite(s):

• COMP 3931

Explores Microsoft web technologies for developing and deploying e-business solutions. This course focuses on C# and ASP.NET. Two competing ASP.NET technologies, ASP.NET Web Forms & ASP.NET MVC, are covered using the latest version of Visual Studio. A term project includes implementation of a web site using either technology
Prerequisite(s):

• 50% in COMP 3910

This course completes the overall Information Technology (IT) framework introduced in Comp 3910, and offers the student the opportunity to apply IT skills in a realistic work environment. In particular, this course will focus on: Information systems planning and management; Project management for medium and large teams; Software Development Lifecycle (SDLC) issues; Component technology using Enterprise Java Beans (EJBs); Advanced Java, Web component, Java EE, .NET, Visual Studio, Microsoft BackOffice and/or Microsoft Office Technologies, as appropriate.
Prerequisite(s):

• 50% in COMP 3910

This course introduces 2 key technologies prominent in the Information Systems industry: 1) The Unix operating system. In the Unix portion of the course you will learn to work comfortably on a Unix platform, to be able to install and configure Unix services, and to create simple Shell scripts. Linux Fedora will be used for this part of the course. 2) The Windows Server Operating System. Students will learn the components and architecture of the Windows Server Operating System, as well as how to configure the operating system.
Prerequisite(s):

• 50% in COMP 3910

This course emphasizes support vector machine (SVM) algorithms and neural networks to improve predictive accuracy, reduce bias and lower variance in real world applications. Case studies compare the advantages and disadvantages of machine learning and neural network models with traditional regression models. The iterative nature of this course provides review and reinforcement of common practices of the predictive modeling cycle.
Prerequisite(s):

• COMP 3948

​This course examines code techniques for analyzing large and diverse data sets. Course work requires students to develop and assess effective algorithms to gather, cleanse and prepare raw unstructured data for modeling. Students practice writing complex SQL queries and procedures for joins and aggregation with structured data from multiple sources. Analytics topics covered include techniques for conducting effective surveys, sentiment analysis and predictive methods for analyzing time series data. Cases studies in surveying, sentiment analysis and time series methods reinforce proper big data management practices.
Prerequisite(s):

• COMP 3948

​This course covers several paradigms for concurrent programming. Shared-state concurrency, channels (based on communicating sequential processes) and message-passing concurrency will be studied. The goal is to develop highly-concurrent applications.
Prerequisite(s):

• COMP 3958

In this course, students will apply functional and concurrent programming techniques to develop selected applications. Applications may include implementing a compiler or interpreter for a DSL (domain-specific language), implementing Web applications using a functional language, designing scalable and fault-tolerant network applications and system programming using a safe language.
Prerequisite(s):

• COMP 3958

This hands-on course is aimed at those who are creating user interfaces for websites, web apps, mobile applications, Internet of Things (IoT), or PC applications, as well as those who want to better understand the role of UX/UI. User Experience (UX) encompasses a wide range of activities including User Interface (UI) design, Information Architecture (IA) and field research. Usability design and testing, tight integration and collaboration with software development processes are included in UX. Students will follow an iterative and agile approach focusing on User Centered Design (UCD) as the motivator for product direction. Participants will work within teams, with emphasis on collaboration, brainstorming, and continued evolution of an interface concept based on user centered development. Upon completion successful students will be able to incorporate user centered development iterative design principles and processes into a wide variety of IT projects.
Prerequisite(s):

• COMP 3942
• COMP 4946^‡ and MKTG 4919^‡ (^‡ must be taken concurrently)

This hands-on course is aimed at those who are creating a functional software project in the areas of websites, web apps, mobile applications, Internet of Things (IoT), or PC applications. Students will follow an iterative and agile approach using test-driven development to create a minimal viable product (MVP). Participants will work within teams, with emphasis on collaboration, brainstorming, and continued evolution of their MVP. Upon completion successful students will be able to incorporate agile development processes and processes into a wide variety of IT projects.
Prerequisite(s):

• COMP 4943 and COMP 4946 and MKTG 4919

Students work on projects within guidelines specified by faculty. Students will work in teams and to refine the business idea that they came up with in COMP 3942. Students will work directly with potential customers to validate their business idea and seek advice from an interdisciplinary panel of faculty members acting as their project supervisor. Students will create a business plan that will guide them in creation of the Minimal Viable Product (MVP) in COMP 4944.
Prerequisite(s):

• COMP 3942
• COMP 4943^‡ and MKTG 4919^‡ (^‡ must be taken concurrently)

This course provides students with the business communications skills, tools, and processes essential to successfully launch their software business. Students will learn the techniques for building and maintaining client relationships, including building their personal brand and network. Students will plan, develop and deliver sales presentations of varying lengths and formats, such as "elevator" pitches to potential investors and formal team sales presentations to business customers. In addition, students will develop professional marketing collateral, including presentation slides and direct marketing pieces, to support their new software product.
Prerequisite(s):

• COMP 3942

This course is a continuation of Comp 3951 (Selected Topics in Application Development). The course covers an introduction to human-computer interaction (HCI), user experience design, prototyping, usability, web design and implementation, and cloud computing. Microsoft technologies including the .NET framework, C#, ASP.NET, ASP.NET MVC, and Azure will be used as vehicles for instruction. Course work includes ASP.NET web applications, web services, introduction to data access, ADO.NET, entity framework, architectural patterns used in software engineering: Model-View-Control (MVC) and Model-View-ViewModel (MVVM), and cloud computing (Azure platform and infrastructure). Principles of HCI, usability, user-centered design, task analysis and aesthetics are discussed and applied. During the term, besides class assignments, students will design and implement using the technologies discussed in this course (a) a web application in small teams, and (b) a large term project (including a web component) involving all students in the set. The large project is intended to give students the chance to experience the work and the responsibilities of a real life project. Students will learn to work in teams, manage or report to a manager, keep deadlines, take responsibilities and have initiative.
Prerequisite(s):

• 50% in COMP 3951

​In this course, students will apply software engineering concepts for developing solutions to real-life problems. This course will focus on software requirements (functional and non-functional), technical feasibility, and design patterns that are intended to offer standard solutions to problems, make the code more flexible and efficient, and reduce complexity. The design patterns discussed in this course are: concurrency, creational, structural and behavioural. Students will be introduced to architectural patterns that are larger in scope and describe the overall pattern followed by an entire system. Students will be also introd​uced to AI topics that are emergent in the software engineering field, for example how AI is incorporated in the software development process (e.g., coding, testing and software quality), user modeling, and AI-based critical issues related to ethics, privacy and security. ​ During the term, students will plan, design and implement a large project. The project is intended to give students the chance to experience the work and the responsibilities of a real-life project. Students will learn to work in a large team, manage or report to a manager, keep the deadlines, take responsibilities and have initiative.
Prerequisite(s):

• 50% in COMP 3951

Cooperative Education (Co-op) involves enhancing the educational experience by integrating traditional academic studies with relevant work experience. The student is employed for the duration of the Co-op Work Term placement period. The Co-op Work Term is a paid position where the student completes productive tasks that relate directly to the core competencies of the Computer Information Technology Diploma Program. The Co-op position is approved by the Co-op Coordinator. Students in the program attend mandatory pre-employment workshops to enhance their employability prior to their Co-op placement and compete for job postings during the second academic term. During the work term, students are monitored by the Co-op Coordinator.
Prerequisite(s):

• Successful Application and Admission to the Co-op Program, 80% GPA in term one with no failures or withdrawals and no pending grade appeals.

Cooperative Education (Co-op) involves enhancing the educational experience by integrating traditional academic studies with relevant work experience. The student is employed for the duration of the Co-op Work Term placement period. The Co-op Work Term is a paid position where the student completes productive tasks that relate directly to the core competencies of the Computer Systems Technology Diploma Program. The Co-op position is approved by the Co-op Coordinator. Students in the program attend mandatory preemployment workshops to enhance their employability prior to their Co-op placement and compete for job postings during the second academic term. During the work term, students are monitored by the Co-op Coordinator.
Prerequisite(s):

• COMP 2990, 80% GPA in term one with no failures or withdrawals and no pending grade appeals