SYSEN 5888

SYSEN 5888

Course information provided by the Courses of Study 2023-2024.

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.

When Offered Fall, Spring.

  • 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.

View Enrollment Information

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 17752 SYSEN 5888   LEC 001

  • Instruction Mode: Distance Learning-Asynchronous
    Enrollment limited to: Systems Engineering distance learning M.Eng. students.

  • 17755 SYSEN 5888   DIS 201

    • F Online Meeting
    • Aug 21 - Dec 4, 2023
    • You, F

  • Instruction Mode: Distance Learning-Asynchronous