Applied Computer Science (Database Option)

This course provides in-depth coverage of TCP/IP and "real-world" network traffic analysis using tools such as Wireshark and tcpdump. Students are introduced to securing servers and services as well as monitoring systems for performance and intrusion. Students will gain practical knowledge in the use of public-key encryption in securing information and implementing secure automatic logins and file transfers. This course provides coverage of perimeter protection and firewall designs, intrusion detection and IDS/IPS design and their implementation.​
Prerequisite(s):

• Acceptance into the Bachelor of Science in Applied Computer Science (BscACS) program.

​This course is focused on advanced concepts in operating systems: inter-process communication, inter-core synchronization, memory organization and management, virtual memory, uniprocessor and multiprocessor scheduling, input/output management, modern storage strategies, file management and security. Concepts of processes and threads, inter-process communication, concurrency and synchronization will be discussed. Students will learn about the design of operating system structures and related algorithms and policies with a focus on performance and optimization. For example: placement and replacement memory algorithms, scheduling algorithms, resident set management and load control theories. The course will include an introduction to virtualization. To illustrate the concepts, each topic will include examples of real life design choices used in modern operating systems (e.g., UNIX, Linux, Windows, and Android).​
Prerequisite(s):

• Acceptance into the Bachelor of Science in Applied Computer Science (BscACS) program.

​This course offers an in-depth study of Database System Concepts and Architectures including, query processing, query optimization, transaction processing, concurrency control, recovery, parallel databases, distributed databases and access control. Design of storage and file structures including different indexing and hashing organizations are also discussed. ACID (Atomicity, Consistency, Isolation and Durability) property and non-ACID complied database are discussed. Various database languages are discussed including Data Definition Language (DDL) and Data Manipulation Language (DML). Comparative analysis with alternative data models and database systems is conducted. Assignments will reinforce learning through designing and constructing a database from conceptual, to logical model to final physical deployment.
Prerequisite(s):

• Acceptance into the Bachelor of Science in Applied Computer Science (BScACS) program.

This course offers a comprehensive overview of software engineering issues: software development methodologies, software requirements analysis, functional and non-functional requirements, software architecture, design principles and paradigms, and quality assurance. Students will learn how to apply principles, use the most adequate strategies and tools, and assure quality during the entire software development cycle.​
Prerequisite(s):

• Acceptance into the Bachelor of Science in Applied Computer Science (BScACS) program.

​This course introduces the major concepts of calculus: differentiation, integration, and differential equations as applied to computing. The course covers both single and multivariable differentiation for basic functions and some basic single variable integration, both definite and indefinite. It will finish with a short introduction to differential equations applied to modeling physical phenomena.
Prerequisite(s):

• Acceptance into the Bachelor of Science in Applied Computer Science (BscACS) program.

​This course provides hands-on training of deploying, configuring and optimizing Database-As-A-Service (DBaaS) for cloud computing. Students will implement and experiment with fault-tolerant and scalable DBaaS architectures and test their efficacy in meeting the performance, scalability and availability needs of diverse set of cloud applications. Opportunities for power savings will be explored.​
Prerequisite(s):

• 60% in COMP 7071

The objective of this course is to apply concepts and problem-solving techniques that are used in the design and analysis of efficient algorithms. This course will provide students with exposure and practice to more advanced data structures and algorithmic strategies used in software development. Students will identify real world problems and apply a heuristic approach to solve them. After reviewing basic data structures and algorithms, students will apply advanced analysis techniques and algorithms. Particular emphasis will be placed on efficiency and optimization.​
Prerequisite(s):

• 60% in MATH 7908^† and 60% in MATH 7808^† (^† may be taken concurrently)

​This course teaches the design and development of data warehouses. The OLTP and OLAP needs of businesses are analyzed to rationalize the need of data warehouses and corresponding data models. Data warehouse architectures ranging from ROLAP to MOLAP are developed and evaluated. Data models conducive to such needs are studied. Tools to develop in-house data warehouses are identified and practiced along with off-the-shelf data warehouse solutions including cloud based services. Role of competing concepts such as data lakes and big data is evaluated in the context of data warehousing.
Prerequisite(s):

• 60% in COMP 7071

This course offers a comprehensive overview of project management techniques to effectively plan, manage, and control software development projects. Students will learn project management methodologies with an emphasis on software projects and agile methodology. Students will design a project for which they will create a project work breakdown structure; identify risks, inter-operability, and privacy and security issues; establish the necessary roles in the software development team; and apply strategies to control the project schedule and quality. Students will also discuss ethical and sustainability considerations from a project management perspective.
Prerequisite(s):

• 60% in COMP 7082

This course covers the basics of linear algebra and related topics, including vector algebra with its application to 3D geometry, matrix algebra with application to solving systems of linear equations, complex numbers/ vectors and discrete Fourier Transforms. Matrix topics will include linear transformations, eigenvalues and eigenvectors, similarity of matrices and applications of these. Concepts such as vector spaces, inner product spaces, and symmetric and orthogonal matrices are also introduced. Computer algorithms for performing various matrix operations and calculations and discrete Fourier Transforms will be explored.
Prerequisite(s):

• 60% in MATH 7808
• Acceptance into the Bachelor of Science in Applied Computer Science (BScACS) program.

Artificial Intelligence (AI) is the intelligence expected to be demonstrated by machines and computer programs. This course is designed to provide students with expertise in creating and modifying required AI algorithms and techniques. The first part of the course will focus on classic AI solutions (especially decision making) while the second part will cover some of machine learning (ML) related applications of AI (with an emphasis on learning from examples). The course will consider real world problems that need to be solved with applications of AI and the techniques used to build such applications (e.g. using the techniques to create challenging non player characters (NPC) in games development or password strength classification and intrusion detection in network security). More specifically, students will learn about the searching paradigm in designing intelligent agents and will practice implementing search algorithms. Probabilistic reasoning will also be explored to help students learn how to deal with incomplete information and uncertainty. The course will also examine different learning techniques to guide students in creating self-learning models that can improve performance in decision-making over time through practical examples.
Prerequisite(s):

• 60% in COMP 8042

​Students will learn to work with security models for database systems, including evaluating Intrusion Detection schemes, implementing and evaluating cryptographic solutions for data privacy and confidentiality, and experimenting with solutions for authentication, access control and non-repudiation. They will conduct in-depth studies of the design and composition of database engines and their popular deployment architectures to explore attack vectors, security vulnerabilities and threat protection. Students will gain familiarity with relevant regulatory frameworks to ensure compliance/conformance of security solutions. ​
Prerequisite(s):

• 60% in COMP 7071 and 60% in COMP 7171

​This course is focused on incorporating data mining and integrating data analytics frameworks to database systems, data warehouses and big data infrastructures. Approaches for mining correlations, associations and other data patterns are studied. Clustering, classification and regression implementations are integrated with the data systems. Database applications utilizing charts, maps and AR/VR augmented data visualization to support visual analytics are developed.
Prerequisite(s):

• 60% in COMP 8071 and 60% in MATH 7808 and 60% in MATH 7908

The objectives of this course are to give students the opportunity to explore in-depth a selected area of computer technology and identify complex real-world problems. Students will select a problem to solve in their Major Project. They will critically analyze the problem, existing challenges and issues, and related products and literature. Students will prepare a project proposal that includes the project’s objectives, specifications, review of similar systems and related products and literature, feasibility analysis, and a design of a solution that should be inventive, experimental or exploratory in nature. Students will also complete the first 2 of 5 milestones of the project during the course. This course is directed study under the guidance of a supervisor. Students will follow a software engineering methodology. Please refer to the Major Projects Guidelines as described on the BScACS Commons webpage.​
Prerequisite(s):

• 60% in COMP 8082 and 50% in LIBS 7001
• At least one 8000 level specialty course.

This is a course in advanced composition and rhetoric, in which students will develop skills in complex critical analysis and interpretation by analyzing and evaluating materials from a variety of discourses or genres, including visual, online, and print; developing and writing essays, including critiques and research papers; applying and discussing principles of rhetoric and critical theory; examining and using methods of interpretation and analysis from the humanities and social sciences; evaluating the credibility of primary and secondary sources, including as it applies to media literacy, and for the purposes of academic research; situating discourses within their historical context and relevant to rhetorical theories of different periods (for example, Aristotle in the ancient world and Bakhtin in the twentieth century). The course format will include lecture, discussion, and both individual and group activities.
Prerequisite(s):

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

Fosters abilities and values required for ethical decision making at work. Develops skills in logical analysis, a working knowledge of moral principles and theories, and the ability to diagnose and resolve moral disagreements commonly found at work. Examines and applies moral principles to historically famous cases in manufacturing, human resources, management, engineering, health care, and computing.
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.

As computers and digital devices are ubiquitous and embedded in everyday objects, it is very important to focus on designing intuitive, effective and simple interactions. This course will present an introduction to principles of human-computer interaction and will explore the concepts and practices used for interaction design: information architecture, immersion techniques, prototyping, user-centered design, usability design and testing and user research. Principles of designing for accessibility and ethical considerations will be discussed and applied. Students will evaluate and design several interfaces for software applications (e.g., desktop, mobile and web) and pervasive computing devices (e.g., wearable, AR/AM/VR, and voice interaction devices), and will design a low-fidelity prototype.
Prerequisite(s):

• Acceptance into the Bachelor of Science in Applied Computer Science (BscACS) program.

​Based on their approved proposal and initial stages of the project developed in Comp 8800 Major Project 1, students will continue to implement, test and deliver their major project. This course is directed study under the guidance of a supervisor. Students will follow a software engineering methodology. The outcome of this course is a working project and a final report. Please refer to the Major Projects Guidelines as described on the BScACS Commons webpage.​
Prerequisite(s):

• COMP 8800

​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 Bachelor of Science in Applied Computer Science 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, 75% GPA in term 5 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 Bachelor of Science in Applied Computer Science 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):

• COMP 7990