SYSEN 6888
Last Updated
- Schedule of Classes - December 10, 2024 7:37PM EST
- Course Catalog - December 10, 2024 7:07PM EST
Classes
SYSEN 6888
Course Description
Course information provided by the Courses of Study 2024-2025.
This course provides a comprehensive overview of deep learning, covering basic concepts, models, algorithms, and applications. Topics include artificial neural networks, training techniques, convolutional neural networks, recurrent neural networks, generative deep learning, deep reinforcement learning, and deep learning hardware and software. Recent advances in deep learning, such as graph neural networks, attention, Transformer, ViT, BERT, and GPT, will also be discussed. The course explores deep learning-based applications in optimization, sensing, control, and automation, and in AI for Science, including molecular design, material discovery, and pharmaceutical development.
When Offered Fall, Spring.
Outcomes
- Analyze and understand modern deep learning models, algorithms, and applications.
- Demonstrate ability to develop deep learning models and algorithms for real-world applications.
- Demonstrate ability to apply deep learning to solve application problems.
Regular Academic Session. Choose one lecture and one discussion. Combined with: CHEME 6888
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW
- Jan 21 - May 6, 2025
Instructors
You, F
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- TBA
- Jan 21 - May 6, 2025
Instructors
You, F
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Additional Information
Instruction Mode: Distance Learning-Asynchronous
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Class Number & Section Details
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Meeting Pattern
- F
- Jan 21 - May 6, 2025
Instructors
You, F
-
Additional Information
Instruction Mode: In Person
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