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Academic Catalog 2025-26

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Your search for courses · during 25WI · taught by cedge · returned 2 results

  • CS 254 Computability and Complexity 6 credits

    An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

    • Winter 2025
    • FSR, Formal or Statistical Reasoning
    • Student has completed any of the following course(s): CS 200 with a grade of C- or better or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or MATH 236 with a grade of C- or better or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.

    • CGSC Elective CL: 200 level CS Required for Major LING Pertinent LING Related Field MATH Discrete Structures MATH Electives NEUR Elective
    • CS  254.00 Winter 2025

    • Faculty:Chelsey Edge 🏫 👤
    • Size:34
    • M, WWeitz Center 132 11:10am-12:20pm
    • FWeitz Center 132 12:00pm-1:00pm
  • CS 321 Making Decisions with Artificial Intelligence 6 credits

    There are many situations where computer systems must make intelligent choices, from selecting actions in a game, to suggesting ways to distribute scarce resources for monitoring endangered species, to a search-and-rescue robot learning to interact with its environment. Artificial intelligence offers multiple frameworks for solving these problems. While popular media attention has often emphasized supervised machine learning, this course instead engages with a variety of other approaches in artificial intelligence, both established and cutting edge. These include intelligent search strategies, game playing approaches, constrained decision making, reinforcement learning from experience, and more. Coursework includes problem solving and programming.

    • Winter 2025
    • FSR, Formal or Statistical Reasoning
    • Student has completed any of the following course(s): CS 200 with a grade of C- or better or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or MATH 236 with a grade of C- or better or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.

    • CGSC Elective CL: 300 level CS Major Electives NEUR Elective SDSC CS Elective
    • CS  321.00 Winter 2025

    • Faculty:Chelsey Edge 🏫 👤
    • Size:34
    • M, WAnderson Hall 329 8:30am-9:40am
    • FAnderson Hall 329 8:30am-9:30am

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 7 May 2026
Carleton

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