A first course introducing students to the fundamentals of computational problem solving. Students will learn a systematic approach to problem solving, including how to frame a problem in computational terms, how to decompose larger problems into smaller components, how to implement innovative software solutions using a contemporary programming language, how to critically debug their solutions, and how to assess the adequacy of the software solution. Additional topics include an introduction to object-oriented programming and data structures such as arrays and stacks. Students will complete both in-class and out-of-class assignments.

This accelerated course covers material from the first-year sequence of computing courses and provides the theoretical and practical foundation for all subsequent computing courses that require software development. The course stresses problem solving while covering modern software models, and theoretical approaches. Concepts of object-oriented design are a large part of the course including theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expertise, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security. The abstract nature of objects is discussed in several domains.

An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class.

An introduction to the principles of the foundations of contemporary software design. Topics include software subsystem modeling, design patterns, design tradeoffs, and component-based software development, with a focus on application of these concepts to concrete design problems. The relationship between design and related process issues such as testing, estimation, and maintenance are also discussed.

The course focuses on designing and implementing applications using cloud software systems infrastructure and technologies. The course introduces the basic concepts and knowledge on cloud computing systems and application infrastructure. It also briefly introduces key technologies and paradigms related to developing big data applications in the cloud. The course contains a set of related topics which are covered via hands-on class instruction, application development in teams, course materials, and class discussions. Programming projects and demo presentations are required.

This is a programming based course to enhance individual, technical engineering knowledge and skills as preparation for masters level graduate work in computing. Students will be introduced to programming language syntax, object oriented concepts, data structures and foundational algorithms. An emphasis will be placed on obtaining practical programming skills, through regular programming assignments and practicum.