06-16-2026, 12:11 AM
CSC 421/2516 Neural Networks and Deep Learning
Summary
The CSC421 (2019) course at the University of Toronto is an upper-level introduction to artificial intelligence, focusing on the fundamental methods and ideas behind building intelligent systems. It covers core AI topics such as problem-solving and search, game playing (adversarial search), logic and knowledge representation, probabilistic and statistical reasoning, and machine learning, along with applications of these methods.
The course aims to give students a broad understanding of how AI systems work both symbolically and statistically, and how these techniques are used in real-world applications, while also developing practical skills through assignments and programming exercises.
COURSE PAGE
Summary
The CSC421 (2019) course at the University of Toronto is an upper-level introduction to artificial intelligence, focusing on the fundamental methods and ideas behind building intelligent systems. It covers core AI topics such as problem-solving and search, game playing (adversarial search), logic and knowledge representation, probabilistic and statistical reasoning, and machine learning, along with applications of these methods.
The course aims to give students a broad understanding of how AI systems work both symbolically and statistically, and how these techniques are used in real-world applications, while also developing practical skills through assignments and programming exercises.
COURSE PAGE
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