The requirements for high-quality, reliable, predictable software becomes increasingly necessary as its use continues to grow—both generally and in mission- or life-critical environments, as well as in the latest AI technology. As the software industry evolves, the need for qualified engineers trained in the principles, methodologies, techniques and tools of software quality assurance, software ethics, and data model accuracy for AI has also grown. This course presents the specifics of software quality assurance and software testing. The course also describes how these processes fit into the software development process, how ethics apply to software engineering and how software models are developed for AI.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
No meeting November 11, 2025. To see all meeting dates, click "Full Schedule" below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Recommended Text:
Fundamentals of SW Engineering-Designed to provide insight into the SW engineering Concepts, Hitesh Mohapatra and Amiya Kumar Rath, BPB publications, 2020. ISBN-13: 978-9388511773
