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.

A second course that delves further into computational problem solving, now with a focus on an object-oriented perspective. There is a continued emphasis on basic software design, testing & verification, and incremental development. Key topics include theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes with UML, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, I/O including files and networking, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expert, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security.

This course is the conclusion of the GCIS-120 that delves further into computational problem solving, now with a focus on an object-oriented perspective. There is a continued emphasis on basic software design, testing & verification, and incremental development. Key topics include theoretical abstractions such as polymorphism, software design comprising multiple classes with UML, data structures (e.g. lists, trees, sets, maps, and graphs), exception/ error handling, I/O including files and networking, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expert, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security.

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.

To design and develop high quality products software engineers need to understand the physical components and systems that are an integral part of these products. This understanding is critical in the fulfillment of non-functional requirements such as performance, reliability and security. This course will provide software engineering students with hardware, computer architecture, and networking domain specific knowledge. Course programming assignments will provide practical experience developing software that interfaces with hardware components and systems. Credit cannot be granted for this course and CMPE-240.

The principles, practices and patterns applicable to the design and construction of concurrent and distributed software systems. Topics include synchronization, coordination and communication; deadlock, safety and liveness; concurrent and distributed design patterns; analysis of performance; distributed state management.

The first course in a two-course, senior-level, capstone project experience. Students work as part of a team to develop solutions to problems posed by either internal or external customers. Problems may require considerable software development or evolution and maintenance of existing software products. Culminates with the completion and presentation of the first major increment of the project solution. Students must have co-op completed to enroll.

This is the second course in a two-course, senior-level capstone project experience. Students submit one or more additional increments that build upon the solution submitted at the end of the first course. Students make major presentations for both customers as well as technical-oriented audiences, turn over a complete portfolio of project-related artifacts and offer an evaluation of the project and team experience.