Computer Science Artificial Intelligence/ Machine Learning Track Required Courses

Required CMSC Courses (2):

  • CMSC 478 – Introduction to Machine Learning (3 Credits) (Technical Elective)
  • CMSC 471 – Introduction to Artificial Intelligence (3 Cr) (CMSC Elective)

 

Complete two from the following AI/ML List:

  • CMPE 422 – Digital Signal Processing (3 Cr) (Technical Elective)
  • CMSC 412 – Neurosymbolic Text Generation (Technical Elective)
  • CMSC 462/491 – Introduction to Data Science (Technical Elective)
  • CMSC 472/491 – Computer Vision (3 Cr) (Technical Elective)
  • CMSC 473 – Introduction to Natural Language Processing (3 Cr) (Technical Elective)
  • CMSC 475 – Introduction to Neural Networks (3 Cr) (Technical Elective)
  • CMSC 476 – Information Retrieval (3 Cr) (Technical Elective)
  • CMSC 477 – Agent architectures and Multiagent systems (3 Cr) (Technical Elective)
  • CMSC 479 – Introduction to Robotics (3 Cr) (Technical Elective)
  • CMSC 491 – Advanced Robotics (3 Cr) (Technical Elective)
  • CMSC 491 – Introduction to Brain Computer Interface (3 Cr) (Technical Elective)
  • CMSC 491 – Knowledge Graphs (3 Cr) (Technical Elective)
  • CMSC 491 – Neuromorphic Computing (3 Cr) (Technical Elective)

Some additional special topics classes relevant to AI or machine learning may be accepted as satisfying a track elective with the approval of the AI/ML track director, Professor Lara Martin (laramar@umbc.edu).