Computer Science, Artificial Intelligence and Machine Learning Track, B.S.

You can declare your intention to follow the AIML track by filling out the Undergraduate Declaration of Major, Minor, and Certificate form specifying that you are following the AIML track and completing the required courses with a grade of C or better. In addition to the regular requirements of the Computer Science, B.S. , students in the AIML track must complete:

Requirements

You must take both of the following:
CMSC 471 - Introduction to Artificial Intelligence (3.00)
CMSC 478 - Introduction to Machine Learning (3.00)
You must take at least two of the following:
CMPE 422 - Digital Signal Processing (3.00)
CMSC 462 - Introduction to Data Science (3.00)
CMSC 473 - Introduction to Natural Language Processing (3.00)
CMSC 475 - Introduction to Neural Networks (3.00)
CMSC 476 - Information Retrieval (3.00)
CMSC 477 - Agent Architectures and Multi-Agent Systems (3.00)
CMSC 479 - Introduction to Robotics (3.00)

Any of the approved CMSC or CMPE 491 special topic courses

Any of the approved CMSC or CMPE 491 special topics courses that fall within an AI topic area. These currently include:

CMSC 491, Computer Vision
CMSC 491, Knowledge Graphs
CMSC 491, Advanced Robotics

Other Courses

Other courses are allowed with the approval of the track director

Graduate Level

Graduate level versions of any of the approved courses can be substituted with permission of the track director.

Note

If you believe you have an elective other than these that is related to AI or ML, you can email the AI/ML Track director to see if it can be considered as a valid track elective.