SYSEN 5888
Last Updated
- Schedule of Classes - January 5, 2026 3:59PM EST
Classes
SYSEN 5888
Course Description
Course information provided by the 2025-2026 Catalog.
Covers the basic concepts, models, methods, and applications of deep learning. Topics include basics of artificial neural networks, training of neural networks, convolutional neural networks, recurrent neural networks, generative models, deep reinforcement learning, and deep learning hardware and software packages. Application and methodology topics include deep learning for pharmaceutical discovery, deep learning for process control, deep learning for molecular design, deep learning for material screening, deep learning for product yield and quality estimation, and deep learning for optimization.
Last 1 Terms Offered 2025SP
Regular Academic Session. Choose one lecture and one discussion.
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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 Online Meeting
- Jan 20 - May 5, 2026
Instructors
You, F
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Additional Information
Instruction Mode: Distance Learning-Asynchronous
Enrollment limited to: Systems Engineering Distance Learning students. Instructor permission required to obtain an enrollment PIN.
Instructor Consent Required (Add)
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Class Number & Section Details
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Meeting Pattern
- F Online Meeting
- Jan 20 - May 5, 2026
Instructors
You, F
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Additional Information
Instruction Mode: Distance Learning-Asynchronous
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