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Academic Catalog 2025-26

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Your search for courses · during 26SP · taught by ealexander · returned 2 results

  • CS 252 Algorithms 6 credits

    A course on techniques used in the design and analysis of efficient algorithms. We will cover several major algorithmic design paradigms (greedy algorithms, dynamic programming, divide and conquer, and network flow). Along the way, we will explore the application of these techniques to a variety of domains (natural language processing, economics, computational biology, and data mining, for example). As time permits, we will include supplementary topics like randomized algorithms, advanced data structures, and amortized analysis.

    • Spring 2026
    • 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.

    • CL: 200 level CS Required for Major MATH Discrete Structures MATH Electives SDSC CS Elective
    • CS  252.01 Spring 2026

    • Faculty:Eric Alexander 🏫 👤
    • Size:28
    • M, WAnderson Hall 329 9:50am-11:00am
    • FAnderson Hall 329 9:40am-10:40am
    • 9 seats held for CS Match until the day after first year priority registration.

  • CS 314* Data Visualization (*=Junior Seminar) 6 credits

    Though the wealth of data surrounding us can be overwhelming, we have evolved incredible tools for finding patterns in large amounts of information: our eyes! Data visualization is concerned with turning information into pictures to better communicate patterns or discover new insights, drawing from computer graphics, human-computer interaction, design, and perceptual psychology. In this junior seminar, we will learn different ways in which data can be expressed visually and which methods work best for which tasks, with a particular focus on technical communication. Using this knowledge, we will critique existing visualizations as well as design and build new ones.

    • Spring 2026
    • 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. Not open to students who have taken CS 314.

    • CGSC Elective CL: 300 level CS Junior Seminar Elective CS Major Electives SDSC CS Elective STAT Elective DGAH Critical Ethical Reflection
    • CS  314*.01 Spring 2026

    • Faculty:Eric Alexander 🏫 👤
    • Size:16
    • M, WAnderson Hall 223 12:30pm-1:40pm
    • FAnderson Hall 223 1:10pm-2:10pm
    • 16 seats held for CS Match until the day after junior priority registration.

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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 28 January 2026
Carleton

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507-222-4000

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