Artificial Intelligence/Computation Track

BCS Upper Level Electives: 4 courses

  • At least three chosen from:

Allied Field Electives: 2 courses

  • Highly Recommended
  • CSC 172: Data Structures
  • and one of:
  • Examples of other relevant courses:
    • CSC 173: Computation and Formal Systems
    • CSC 244: Logical Foundations of Artificial Intelligence
    • CSC 246: Mathematical Foundations of Artifical Intelligence
    • ECE 241: Signals and Systems
    • ECE 242: Communications
    • LIN 260: Syntactic Theory
    • LIN 261: Phrase Structure Grammars
    • LIN 265: Formal Semantics
    • MTH 163: Ordinary Differential Equations
    • MTH 164: Multidimensional Calculus
    • MTH 165: Linear Algebra with Differential Equations
    • MTH 201: Introduction to Probability
    • MTH 203: Introduction to Mathematical Statistics
    • MTH 235: Linear Algebra
    • OPT 241: Geometrical Optics

Return to top

Brain and Cognitive Sciences University of Rochester About BCS Research Areas Research Programs Undergraduate Programs Graduate Programs People Courses Events Postdoc and Job Opportunities Participate in Studies