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Academic Catalog 2025-26

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Your search for courses · during 24FA · tagged with CS Major Electives · returned 4 results

  • CS 322 Natural Language Processing 6 credits

    Computers are poor conversationalists, despite decades of attempts to change that fact. This course will provide an overview of the computational techniques developed in the attempt to enable computers to interpret and respond appropriately to ideas expressed using natural languages (such as English or French) as opposed to formal languages (such as C++ or Lisp). Topics in this course will include parsing, semantic analysis, machine translation, dialogue systems, and statistical methods in speech recognition.

    • Fall 2024
    • FSR, Formal or Statistical Reasoning QRE, Quantitative 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 LING Pertinent LING Related Field SDSC CS Elective DGAH Critical Ethical Reflection
    • CS  322.00 Fall 2024

    • Faculty:Eric Alexander 🏫 👤
    • Size:34
    • M, WLanguage & Dining Center 104 12:30pm-1:40pm
    • FLanguage & Dining Center 104 1:10pm-2:10pm
    • 28 spots held for students in CS Match until 9:00 a.m. May 24

  • CS 338 Computer Security 6 credits

    When hackers can disable gas pipelines, national hospital systems, and electrical grids, and data brokers can create a largely unregulated world-wide surveillance system, there’s a clear need for people who understand the mechanisms of computer security and insecurity. Towards that end, in this course we will study technical and social aspects of computer and network security. Topics will include threat modeling, cryptography, secure network protocols, web security, ethical hacking and penetration testing, authentication, authorization, historical hacking incidents, usability, privacy, and security-related law.

    • Fall 2024
    • FSR, Formal or Statistical Reasoning
    • Student has completed any of the following course(s): CS 200 or CS 201 with a grade of C- or better or received a Carleton Computer Science 201 or better Requisite Equivalency.

    • CL: 300 level CS Major Electives
    • CS  338.00 Fall 2024

    • Faculty:Jeff Ondich 🏫 👤
    • Size:34
    • M, WAnderson Hall 329 8:30am-9:40am
    • FAnderson Hall 329 8:30am-9:30am
    • 21 spots held for students in CS Match until 9:00 a.m. May 24

  • CS 364 Computational Modeling and Simulation of Natural Systems 6 credits

    Computational models have become a fundamental part of how we make sense of the world, doing everything from economic forecasting to simulating the birth of the universe. But we need to understand how to use models effectively. In this class we’ll explore computational models used across many disciplines, including: agent-based models to prevent forest fires, compartmental models to protect endangered species, N-body models to track the spread of germs from a sneeze, and more. We’ll learn about what problems are (and are not) suited for computational modeling and engage with extensive datasets to evaluate and refine models for practical use.

    • Fall 2024
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Student has completed any of the following course(s): CS 200 or CS 201 with a grade of C- or better or received a Carleton Computer Science 201 or better Requisite Equivalency.

    • CL: 300 level CS Major Electives
    • CS  364.00 Fall 2024

    • Faculty:Tom Finzell 🏫
    • Size:34
    • M, WOlin 106 11:10am-12:20pm
    • FOlin 106 12:00pm-1:00pm
    • 13 spots held for students in CS Match until 9:00 a.m. May 24

  • ECON 285 Computational Economics 6 credits

    This course is an introduction to the use of computational methods for the analysis of economic models. After becoming familiar with the programming environment, we will explore the application of computational methods to constrained optimization, econometric estimation, and calibrating, solving, and simulating static and dynamic economic models.

    Previous elective courses involving mathematical modeling in economics recommended.

    • Fall 2024
    • QRE, Quantitative Reasoning SI, Social Inquiry
    • Student has completed any of the following course(s): ECON 110 with a grade of C- or better or received a score of 5 on the Macroeconomics AP exam or received a ECON 110 requisite equivalency AND ECON 111 with a grade of C- or better or received a score of 5 on the Microeconomics AP exam or received ECON 111 requisite equivalency OR has received a score of 6 or better on the Economics IB exam.

    • CL: 200 level CS Major Electives ECON Elective SDSC XDept Elective
    • ECON  285.00 Fall 2024

    • Faculty:Anthony Priolo 🏫
    • Size:25
    • M, WWillis 203 12:30pm-1:40pm
    • FWillis 203 1:10pm-2:10pm

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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
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507-222-4000

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