SYSEN 5888

SYSEN 5888

Course information provided by the Courses of Study 2019-2020.

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 Summer.

Prerequisites/Corequisites Prerequisite:  CHEME 6880/SYSEN 6880 or SYSEN 5880.

View Enrollment Information

Syllabi: none
  •   Eight Week Summer. 

  • 3-4 Credits Graded

  •  1108 SYSEN 5888   LEC 001

    • TBA
    • Jun 8 - Jul 31, 2020
    • You, F

  • Instruction Mode: Distance Learning-Asynchronous
    This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit