Domain Driven Design, Software Engineering Master's Degree

Real Life Applications of Data Structures covers basic to advanced topics in data structures and their associated algorithms with a focus on real world examples and applications. This course focuses on problem-solving techniques for designing efficient and maintainable software solutions using Python.

Advanced Software Engineering delves into the intricate processes and methodologies essential for developing sophisticated, scalable software architectures. This course offers an in-depth exploration of the software engineering lifecycle, emphasizing a disciplined approach to navigating the complex challenges of software engineering. Students will explore advanced process frameworks and methodologies, including the Waterfall Model and Agile Development, tailored to large-scale and high-stakes projects.

Software Product Design and Requirement Engineering provides an in-depth exploration into effectively integrating user needs and system requirements into software development. This course covers topics from types of requirements, requirement gathering techniques, prioritization, and documentation.

This course covers topics in designing, analyzing, and managing large-scale software systems. Students will learn various architecture types, how to select and implement appropriate design patterns, and how to build well-structured, reliable, and secure software systems.

This course equips students with the skills and knowledge necessary for ensuring high-quality software development and effective deployment practices. The curriculum covers quality models and metrics, QA methods, automated testing, and the design and implementation of test cases. This course introduces students to continuous integration/continuous deployment (CI/CD) pipelines and tools, performance testing, and the tools required for assessing software performance. Students will also learn about deployment strategies, rollback procedures, disaster recovery plans, and monitoring and logging practices, each crucial for the software's operational integrity in production environments.

In this course, students are equipped to understand, analyze, and implement cloud computing solutions tailored to diverse business needs. The curriculum offers an in-depth look at state-of-the-art cloud technologies, the underlying business trends fueling cloud adoption, and the foundational systems of modern data center computing. Participants will learn to identify and apply various cloud systems to specific business cases, understand the interplay between network systems to form cloud computing environments, and utilize cloud computing models to address infrastructure challenges. A focus on network security enables learners to assess and enhance network security systems, covering cybersecurity principles, perimeter security, authentication, and the creation of secure networks. The course also delves into scalable distributed systems and programming frameworks that facilitate edge computing, illustrating how cloud-based solutions can resolve real-world business problems.

This course covers key concepts of Domain Driven Design, including bounded context, context mapping, subdomains, entities, value objects, aggregates, aggregate roots, domain events, and their relation to other design patterns. Students will learn practical implementation strategies, collaboration with domain experts, model refinement, documentation, critiques, and case studies.

In this course, students will demonstrate their knowledge of microservice design and architecture. Students will analyze a business’s needs to find what best matches their software architecture needs. Additionally, students will follow key design principles to create a microservice while explaining why the design pattern is the most efficient for a project. Upon completion of the course, students will create a deployment strategy for efficiency and effectiveness.

This course prepares students to learn how to analyze real-world systems to make informed decisions to improve overall design, performance, and reliability. Students will create tests that validate both scalability and reliability as well as apply theoretical to real-world design, performance, and reliability systems.

Governance, Risk, and Compliance provides learners with advanced skills and knowledge to authorize and maintain information systems utilizing various risk management frameworks. The course focuses on the strategic and long-term alignment of an organization's information security program to regulatory requirements and organizational policies. Course topics include compliance and regulatory requirements, data classification and prioritization, security and privacy controls, compliance audits and remediation, and risk management plans.