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Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Software Engineering for Generative AI with Professor Yiling Lou. Description: Artificial intelligence is reshaping modern software systems, with generative AI models increasingly integrated to provide intelligent functionality. This course explores emerging software engineering methods and practices for designing, developing, and operating AI-integrated software. Topics include recent advances in software quality assurance and maintenance techniques (such as testing, debugging, security, efficiency optimization, and DevOps) for agentic systems. We will also discuss testing and debugging techniques for AI libraries and compilers, as well as the broader ecosystem supporting AI-integrated software. This graduate-level course will be in seminar format, focusing on cutting-edge research papers and semester-long projects. Prerequisite: CS 447, Natural Language Processing. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregi