SYSEN 6888

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST

SYSEN 6888
Deep Learning

Course information provided by the 2025-2026 Catalog.

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.


Enrollment Priority Enrollment limited to: juniors, seniors, graduate or professional students.

Last 1 Terms Offered 2025SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CHEME 6888

  • 4 Credits Stdnt Opt

  •  8487 SYSEN 6888   LEC 001

  •  
    • MW Upson Hall 222
    • Jan 20 - May 5, 2026

    • You, F

  • Instruction Mode: Distance Learning-Synchronous

    Enrollment limited to: Systems Engineering On-Campus Students.

  •  8488 SYSEN 6888   LEC 002

  •  

  • Instruction Mode: Distance Learning-Asynchronous

  •  8489 SYSEN 6888   DIS 201

  •  
    • F Upson Hall 222
    • Jan 20 - May 5, 2026

    • You, F

  • Instruction Mode: In Person

    Enrollment limited to: Systems Engineering On-Campus Students.

  •  8490 SYSEN 6888   DIS 202

  •  

  • Instruction Mode: Distance Learning-Asynchronous