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CSI 6326: Advanced Deep Learning

Spring 2027 · 3 credit hours · 1 section · 20 open seats as of Oct 30, 2026, 1:48 AM Central

Prerequisite(s): CSI 5325 or ELC 5365. This course offers an in-depth exploration of advanced deep learning methodologies, focusing on state-of-the-art neural network architectures such as convolutional, recurrent, attention mechanisms, and auto-regressive generative models. Emphasis is placed on advanced optimization techniques, hyperparameter tuning, and neural architecture search. Students will engage in rigorous theoretical study and practical implementation, addressing applications in computer vision, natural language processing, bioinformatics, and cybersecurity. The course also critically examines the ethical and societal implications of AI technologies. The course integrates theoretical foundations with research projects, preparing students to address complex challenges in AI research and industry.

Professors teaching CSI 6326 in Spring 2027

Xiao Shou. See their BUBooks scores and reported grades in the builder.

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