Software Engineering Graduate Courses
Click on any course title below to read its description. Courses offered in the upcoming semester include a schedule, and are indicated by a label to the right of the title.
MET CS 665 Software Design and Patterns
Software design principles, the object-oriented paradigm, unified modeling language; creational, structural, and behavioral design patterns; OO analysis and design; implementation of semester project. Laboratory course. Prereq: MET CS 341, MET CS 342, MET CS 520, or MET CS 521. Or instructor's consent. [ 4 cr. ]Fall 2018
|D1||IND||Staff||MCS B19||R||6:00 pm – 8:45 pm|
MET CS 673 Software Engineering
Techniques for the construction of reliable, efficient, and cost-effective software. Requirement analysis, software design, programming methodologies, testing procedures, software development tools, and management issues. Students plan, design, implement, and test a system in a group project. Laboratory course. Prereq: MET CS 342 and at least one 500-level computer programming-intensive computer science course; or instructor's consent. [ 4 cr. ]
|A1||IND||Elentukh||EPC 203||M||6:00 pm – 8:45 pm|
|BHA||IND||Czik||T||6:00 pm – 8:45 pm|
MET CS 773 Software Quality Management
Theory and practice of quality assurance and testing for each step of the software development cycle. Verification vs. validation. Test case design techniques, test coverage criteria, and tools for static and dynamic analysis. Standards. Test-driven development. QA for maintenance and legacy applications. Experimental approaches. Prereq: MET CS 673; or instructor's consent. [ 4 cr. ]
MET CS 893 Agile and Advanced Software Engineering Methods
Builds on previous design and programming courses and introduces students to the technological, social, and pragmatic aspects of developing open source software through direct involvement in an open source project. Students learn to use the tools, techniques, and strategies of open source developers. They become familiar with the open source movement, its philosophy, history and licensing issues. This is a project-based laboratory course. Students are directly involved with and integrated into an open source project. They are expected to be active participants in the project and contribute to the project in various ways. [ 4 cr. ]
View the full list of Computer Science & IT graduate courses.