Computer Science-Applied: Artificial Intelligence

To submit a proposed plan of study, use the Applied CS Program webform.
 

Courses

Core

  • CS 331 Introduction to Artificial Intelligence (4)
  • CS 434 Machine Learning and Data Mining (4) or AI 534 Machine Learning (4)
  • CS 475 Introduction to Parallel Programming (4)
  • MTH 254 Vector Calculus I (4)
  • MTH 341 Linear Algebra I (3)
  • ST 421 Introduction to Mathematical Statistics I (4)

Electives

  • AI 530 Big Ideas in AI (3)
  • AI 535 Deep Learning (4)
  • CS 321 Introduction to Theory of Computation (3)
  • CS 420 Graph Theory with Applications to Computer Science (3)
  • CS 440 Database Management Systems (4)
  • CS 453 Scientific Visualization
  • CS 458 Introduction to Information Visualization) (4)
  • CS 492 Mobile Software Development (4)
  • CS 493 Cloud Application Development (4)
  • CS 499 Deep Learning (varies)
  • MTH 342 Linear Algebra II (4)
  • MTH 451 Numerical Linear Algebra (3)
  • MTH 463 Probability I (3)
  • MTH 464 Probability II (3)
  • MTH 465 Probability III (3)
  • ROB 421 Applied Robotics (4)
  • ROB 456 Intelligent Robotics (4)
  • ST 422 Introduction to Mathematical Statistics II (4)
  • ST 443 Applied Stochastic Models (3)