The Artificial Intelligence Track consists of a five course sequence that emphasizes core areas of AI: learning, vision, language, robotics. The track advisors are Deniz Yuret and Barış Akgün. The students take at least one of the core courses and four of the elective courses:

Core courses

  • Comp341 Introduction to Artificial Intelligence (website)
  • Comp421 Introduction to Machine Learning (website)

Elective courses

  • Comp404 Digital Speech and Audio Processing (website)
  • Comp408 Computer Vision and Pattern Recognition ( website)
  • Comp410 Computer Graphics (website)
  • Comp437 Intelligent User Interfaces
  • Comp541 Deep Learning (website, videos)
  • Comp442 Natural Language Processing (website)
  • Comp470 Bioinformatics and Algorithms in Computational Biology
  • Elec201 Signals and Systems (website)
  • Mech444/544 Robotics (website)