Track 3: Intelligent Systems Track

The intelligent systems track is for students interested in machine learning, robots, and systems capable of exhibiting “human-like” intelligence. A total of seven required breadth and elective courses are to be chosen from the following schedule. Register for track course COMS E0003.

9 Points from:
   COMS W4701: Artificial intelligence
   COMS W4705: Natural language processing
   COMS W4706: Spoken language processing
   COMS W4731: Computer vision
   COMS W4733: Computational aspects of robotics
   COMS W4771: Machine learning

ELECTIVES: 12 points required
Up to 12 points from the following list:
   Any COMS W40xx course with adviser approval
   COMS W4165: Pixel processing
   COMS W4252: Computational learning theory
   Any COMS W47xx course if not used as a required course
   COMS W4995: Special topics I*
   COMS W4996: Special topics II*
   Any COMS W67xx course
   COMS E6998: Topics in computer science, I (with adviser approval)
   COMS E6999: Topics in computer science, II (with adviser approval)

Up to 6 points from the following list:
   COMS W3902: Undergraduate thesis*
   COMS W3998: Undergraduate projects in computer science*
   COMS W4901: Projects in computer science*

Up to 3 points from the following list:
   COMS W4111: Database systems
   COMS W4160: Computer graphics
   COMS W4170: User interface design
   COMS W4999: Computing and the humanities

*With adviser approval, may be repeated for credit

Note: No more than 6 units of project/thesis courses (COMS W3902, W3998, W4901) can count toward the track.