Computer Programming and Analysis (Optional Co-op)

• Hours: 14
• Credits: 1
• Pre-Requisites:
• CoRequisites:
• Estimated required text and/or learning resource costs: No cost.

Upon completion of this course, the student will understand the Systems Development Life Cycle and the Object-Oriented Design methodology using the Unified Modeling Language (UML). An object-oriented approach will be applied to a business system case study utilizing a Computer Assisted Systems Engineering tool to analyze the systems requirements and then to use the tool to design a proposed solution from those requirements. Emphasis will be placed on typical industry practices, documentation and presentation skills in a team environment

• Hours: 56
• Credits: 4
• Pre-Requisites:
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course teaches students how to develop web applications using ASP.NET. Students learn how to create dynamic web pages using data from a relational database and how to update data on a relational database with information provided by the user through a web form. The students will use application-wide variables, code and style sheets, object-oriented constructs, classes, and session variables.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG1965 OR PROG1966
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

In this course, students will learn advanced database concepts, building upon foundational SQL knowledge to explore complex queries, optimization techniques, and database performance tuning. Students will gain hands-on experience with NoSQL databases, understanding their use cases and implementing data solutions for unstructured and semi-structured data. The course also introduces cloud-based database services, teaching students how to manage, and work with databases in a cloud environment. Through practical projects and case studies, students will develop the skills to design, manage, and integrate advanced data systems for real-world applications.

• Hours: 42
• Credits: 3
• Pre-Requisites: PROG1825 OR PROG2112
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

Algorithms and data structures are essential tools for solving computational problems efficiently. In this course, students will learn to design, analyze, and implement algorithms for sorting, searching, recursion, and dynamic programming, as well as explore foundational data structures such as linked lists, stacks, queues, trees, hash tables, and graphs.Students will explore the time and space complexity of algorithms to evaluate performance and make informed design choices. Through practical exercises and programming projects, students will develop problem-solving skills and learn to apply algorithms and data structures to real-world scenarios.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG1925 OR PROG1926
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 42
• Credits: 3
• Pre-Requisites: INFO1380
• CoRequisites:
• Estimated required text and/or learning resource costs: No cost.

• Hours: 42
• Credits: 3
• Pre-Requisites: PROG2230 OR PROG2231
• CoRequisites:
• Estimated required text and/or learning resource costs: No cost.

This course teaches the student to build mobile applications using the current industry practices and tools. The student will learn client-side smart device development including offline data access, testing, debugging, security, deployment and exception handling. Students will be exposed to writing mobile client software that runs on popular mobile devices.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG1935 OR PROG1936 AND PROG1965 OR PROG1966
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

Data analytics, artificial intelligence, and machine learning are essential for building practical solutions to real-world problems. In this course, students will apply statistical techniques to analyze and interpret data, gaining hands-on experience with preprocessing, exploratory data analysis, and visualization. They will implement machine learning models, including supervised and unsupervised learning, and work with modern tools and frameworks to develop AI-driven solutions. Practical projects will focus on applying these techniques to real-world datasets, emphasizing both technical skills and the ethical considerations of deploying AI systems.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG1925 OR PROG1926 AND PROG2340
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

An increasing amount of open-source software is being made available on the web for the purpose of developing new business systems in an efficient and economic way. Students learn to develop software products for which the source code is publicly made available in a versioned format. This mode of delivery permits individuals and organizations to scale, modify and enhance a product’s design. Students learn how to deploy new open-source products, how to work on existing products, and they learn the ramifications for intellectual property.

• Hours: 56
• Credits: 4
• Pre-Requisites: PROG1935 OR PROG1936 AND PROG2230 OR PROG2231 AND PROG2270
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 420
• Credits: 14
• Pre-Requisites: CDEV1020 OR CEPR1020
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 420
• Credits: 14
• Pre-Requisites: CDEV1020 OR CEPR1020
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 420
• Credits: 14
• Pre-Requisites: CDEV1020 OR CEPR1020
• CoRequisites:
• Estimated required text and/or learning resource costs: No cost.

• Hours: 420
• Credits: 14
• Pre-Requisites: CDEV1020 OR CEPR1020
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG1935 OR PROG1936 AND PROG1965 OR PROG1966
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course introduces students to the fundamental principles of planning and initiating a capstone project. In this hands-on course, students will conduct research on a real-world problem, analyze project requirements, and propose a viable solution. They will learn to define project scope, objectives, and deliverables, while also developing skills in project management, risk analysis, and stakeholder communication. Students will implement the first prototype iteration of their proposed solution, applying agile methodologies to iterate and refine their ideas. The course emphasizes practical application, preparing students for the full execution of their capstone project in the final term.

• Hours: 42
• Credits: 3
• Pre-Requisites: INFO2321
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course introduces students to key principles and patterns used in software design to create scalable, maintainable, and efficient systems. Students will explore fundamental design concepts such as abstraction, modularization, and separation of concerns, while learning to apply design patterns to solve common software engineering problems. The course emphasizes best practices in software architecture, promoting the use of reusable and flexible components. Through hands-on projects, students will implement design patterns in real-world scenarios, equipping them with the skills to build high-quality software solutions.

• Hours: 42
• Credits: 3
• Pre-Requisites: INFO2321 AND PROG2230 OR PROG2231
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course focuses on the development of large-scale, robust applications for enterprise environments. Students will learn to design and build solutions that integrate multiple systems, handle complex workflows, and support scalability and security. The course emphasizes key aspects of enterprise application architecture, providing students with hands-on experience in developing and deploying applications that meet the needs of modern businesses. The focus will be on performance, maintainability, and best practices for enterprise software development.

• Hours: 56
• Credits: 4
• Pre-Requisites: PROG2230 OR PROG2231
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

This course introduces students to the principles and practices of cloud computing and its application in software development. Students will learn to design and develop cloud-based applications, understanding how to leverage cloud infrastructure to build scalable, reliable, and cost-effective solutions. The course covers key concepts such as cloud architecture, deployment models, and service models, with a focus on building applications that can effectively utilize cloud resources. Through hands-on projects, students will gain experience in developing, deploying, and managing cloud-based applications for real-world use cases.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG2220 OR PROG2270 AND PROG2230 OR PROG2231
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 42
• Credits: 3
• Pre-Requisites: MATH1910 OR MATH1920
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG2070 AND PROG2230 OR PROG2231
• CoRequisites:
• Estimated required text and/or learning resource costs: No cost.

In this course students will design, build, test, and deploy distributed components, with a strong emphasis on Web APIs. Students will also learn to consume existing distributed components and Web APIs to integrate external business capabilities into larger applications and solutions. Students will compare and contrast different design paradigms such as SOA and REST and apply them to develop distributed components that can be deployed in multiple contexts, including the use of cloud infrastructure. Students will develop code using various technologies and platforms but the emphasis throughout the course will be on a design first approach to develop a Web API specification that is independent from its implementation.

• Hours: 56
• Credits: 4
• Pre-Requisites: PROG3340
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.

Successful businesses in today’s high-tech environment use business intelligence to gain a competitive advantage. This course introduces some of the methodologies and technologies used in the analysis of large amounts of historic data. Topics covered include data visualization, data warehousing, online analytical processing and data mining. Practical use of these technologies are presented in the context of descriptive, predictive and prescriptive analytics.

• Hours: 42
• Credits: 3
• Pre-Requisites: PROG2220 OR PROG2270 OR PROG2590 AND PROG2230 OR PROG2231
• CoRequisites:
• Estimated required text and/or learning resource costs: No cost.

This course focuses on the processes and best practices involved in delivering and managing software releases in a production environment, with an emphasis on DevOps principles. Students will learn to plan, coordinate, and implement software releases, ensuring that they are delivered on time, within scope, and with high quality. The course covers key topics such as version control, continuous integration, automated testing, deployment strategies, and the integration of development and operations teams. Students will gain hands-on experience in applying DevOps practices to streamline the software delivery process and ensure efficient, reliable release management.

• Hours: 84
• Credits: 6
• Pre-Requisites: PROG3350
• CoRequisites:
• Estimated required text and/or learning resource costs: Not available at this time.