The course is an introduction to programming and to the use of algorithms in designing programs. A software engineering approach to developing computer programs is stressed and object-oriented concepts are introduced. The course examines standard control structures, approaches to modularization, and the use of primitive and structured data types.

Data structures is the systematic study of some advanced data structures, including list, stack, queue, dictionary, and graph. Sorting and hashing algorithms and their associated computational costs are discussed. Algorithm analysis techniques are also investigated to provide a metric to measure the performance of an algorithm in question.

This course is about the study of objects that have discrete as opposed to continuous values including the foundations of logic, algorithms and their complexity, mathematical reasoning, relations, graphs, trees and combinatorics.

The objective of this course is to give students an understanding of key issues related to database design and implementation to support the automation of key business processes in organizations. The course is designed so as to cover topics that are relevant from a database design and implementation perspective; particularly one that involves the provision of online access to data resources to a variety of physically distributed organizational users. It includes a mix of lectures (some of which are conducted in the laboratory) and discussions on contemporary articles from industry publications.

This course provides opportunities for students to apply the academic concepts, skills and techniques learned in their coursework to a professional work-oriented setting. The course offers the potential for a one-semester internship with a regional employer or a directed study course providing practical learning experiences that benefit the community.

This course exposes students to the problem of determining and specifying what a proposed software system should do, why and for whom the system is needed—not how the system should do it, which is the topic of downstream software engineering activities such as design and coding. The course will discuss concepts for systematically establishing, defining, and managing the requirements for a large, complex, changing and software-intensive systems, from technical, organizational, and management perspectives. The course will consider the past, present, and future paradigms and methodologies in requirements engineering. The course will cover informal, semi-formal, and formal approaches, while striking a balance between theory and practice. The course will involve building models of both requirements engineering process and requirements engineering product, concerning both functional and non-functional goals/requirements/specifications, using a systematic decision-making process.

Designing software is an integral part of engineering a software product. Poorly designed software exposes systems and the organizations they serve to many risks ranging from innocent defects injected during development to more sinister assurance vulnerabilities that might compromise the systems’ mission. Effectively designed software ensures a product that evolves with its changing environment, providing the requisite functionality within the expected performance parameters. Design is both a process and a product – a creative process producing a software artifact that models key aspects of the system. The main goal of this course is to provide an introduction to the area of designing a software system. The challenges that are faced and the techniques used in professional design of complex industry-grade software will be covered. This course will also expose students to several research topics in the area of software engineering. This course presents software design principles in the context of software engineering that enables software engineers to produce and deliver software on-time, on-budget, and on specification.

This course will introduce the concepts and techniques for managing software projects. The students will learn the basic project management concepts including process groups, knowledge areas and project management lifecycles with special focus on Agile approaches. The students will learn techniques for initiating, planning, launching and monitoring software projects. They will also learn tools and techniques related to software configuration and build management. They will learn software project management tools and use it to manage their software project.

This course is aimed at helping students understand how to develop secure software. This course will provide students with a good understanding of the theories and tools used for secure software design, threat analysis, secure coding, and vulnerability analysis. Students will study, in-depth, vulnerability in order to understand how to protect software and how to secure software. Students will learn various software vulnerabilities, and the strategies to prevent them during software lifecycle. Students will also be exposed to best security practices and will learn about models for analyzing software security. The class will also cover various analysis and design techniques for improving software security, as well as how to use these techniques and tools to improve and verify software designs and security. Finally, the course will discuss technical trends affecting software security.

Programming in UNIX Environments teaches students how to write software that interacts with a computational device through a UNIX-based operating system. The course starts by covering the essential commands and script languages used in a UNIX environment, continues with UNIX application programming in C and ends with program development in assembly language.

The astronomical growth of data during the past decade has created an unprecedented opportunity for data mining (sometimes called data or knowledge discovery). This is the process of analyzing data from different perspectives and summarizing it into useful information—information that can be used, among other purposes, to increase business revenue, cuts costs, or both. In SOEN 4463: Data Mining, students will be taught many topics related to data mining, including data clustering, classification, association rules / sequential patterns, and anomaly detection. Surveys of some data mining tools and applications will also be covered. Students will be provided with hands-on training to visualize and interpret the results using data mining toolkits.

This course covers the architecture and protocols of local and wide-area networks, including signaling, data representation, error control, flow control, and routing. The C++ or Java-based sockets API is used to provide practical examples of communication, error control, and flow control. Peer-to-peer and client/server configurations based on UNIX/Linux and Windows architectures are explored.

Programming languages is the study of basic concepts and constructs underlying the design of the modern programming languages. Various programming paradigms, including object-oriented, functional, logic, and concurrent programming, are discussed.