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    Nov 11, 2026  
2026-2027 Undergraduate Academic Calendar 
    
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2026-2027 Undergraduate Academic Calendar
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CSCI 4052U – Machine Learning II

This course is for students with a foundational understanding of machine learning. It explores advanced topics including, but not limited to, encoder/decoder architectures, attention mechanisms, and transformer-based models. The course demonstrates the application of these advanced architectures in creating state-of-the-art neural networks for various applications, such as language modeling (both masked and generative), computer vision, text-to-speech, speech recognition, multimodal learning, and Q-learning in agent-based AI systems. Additionally, it covers essential methodologies for developing and deploying AI systems, encompassing aspects like data pipelines, model management, training and fine-tuning, quantization, model distillation, knowledge infusion, and performance monitoring.
Credit hours: 3
Lecture hours: 3
Laboratory hours: 1.5
Prerequisite(s): CSCI 3052U 
Experiential learning: Yes


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