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Academic Catalog 2025-26

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Your search for courses · during 25FA, 26WI, 26SP · tagged with SDSC CS Elective · returned 8 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.

    • Fall 2025, Winter 2026, 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 Fall 2025

    • Faculty:Sneha Narayan 🏫 👤
    • Size:28
    • M, WAnderson Hall 329 1:50pm-3:00pm
    • FAnderson Hall 329 2:20pm-3:20pm
    • 21 seats held for CS Match until the day after rising sophomore (only) priority registration.

    • CS  252.01 Winter 2026

    • Faculty:Chelsey Edge 🏫 👤
    • Size:28
    • M, WAnderson Hall 036 8:30am-9:40am
    • FAnderson Hall 036 8:30am-9:30am
    • 24 seats held for CS Match until the day after Sophomore Only priority registration.

    • 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
  • CS 257 Software Design 6 credits

    It’s easy to write a mediocre computer program, and lots of people do it. Good programs are quite a bit harder to write, and are correspondingly less common. In this course, we will study techniques, tools, and habits that will improve your chances of writing good software. While working on several medium-sized programming projects, we will investigate code construction techniques, debugging and profiling tools, testing methodologies, UML, principles of object-oriented design, design patterns, and user interface design.

    • Fall 2025, Winter 2026, Spring 2026
    • 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: 200 level CS Required for Major SDSC CS Elective
    • CS  257.01 Fall 2025

    • Faculty:Jean Salac 🏫 👤
    • Size:28
    • M, WHulings 316 11:10am-12:20pm
    • FHulings 316 12:00pm-1:00pm
    • 12 seats held for CS Match until the day after rising sophomore (only) priority registration.

    • CS  257.01 Winter 2026

    • Faculty:Anya Vostinar 🏫 👤
    • Size:28
    • M, WOlin 310 8:30am-9:40am
    • FOlin 310 8:30am-9:30am
    • 11 seats held for CS Match until the day after First Year priority registration.

    • CS  257.01 Spring 2026

    • Faculty:Amy Csizmar Dalal 🏫 👤
    • Size:28
    • M, WWeitz Center 235 12:30pm-1:40pm
    • FWeitz Center 235 1:10pm-2:10pm
  • 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
  • CS 320 Machine Learning 6 credits

    What does it mean for a machine to learn? Much of modern machine learning focuses on identifying patterns in large datasets and using these patterns to make predictions about the future. Machine learning has impacted a diverse array of applications and fields, from scientific discovery to healthcare to education. In this artificial intelligence-related course, we’ll both explore a variety of machine learning algorithms in different application areas, taking both theoretical and practical perspectives, and discuss impacts and ethical implications of machine learning more broadly. Topics may vary, but typically focus on regression and classification algorithms, including neural networks.

    X seats held for CS Match until the day after X priority registration.

    • Winter 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.

    • CGSC Elective CL: 300 level CS Major Electives SDSC CS Elective STAT Elective
    • CS  320.01 Winter 2026

    • Faculty:Anna Meyer 🏫 👤
    • Size:28
    • M, WLanguage & Dining Center 244 9:50am-11:00am
    • FLanguage & Dining Center 244 9:40am-10:40am
    • 28 seats held for CS Match until the day after Senior priority registration.

  • CS 322 Natural Language Processing 6 credits

    Advances like deep learning and large language models have led to computer programs that seem to converse intelligently with people. But how do these programs work, and do they really understand language? In this course, we’ll explore techniques that aim to enable computers to interpret and respond appropriately to ideas expressed using natural languages (such as Chinese or English) as opposed to formal languages (such as Python or C). Topics may include classical and modern approaches, and varying applications, such as machine translation, semantic analysis, and question answering.

    • Fall 2025
    • 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  322.01 Fall 2025

    • Faculty:Anna Rafferty 🏫 👤
    • Size:34
    • M, WAnderson Hall 329 9:50am-11:00am
    • FAnderson Hall 329 9:40am-10:40am
    • 17 seats held for CS Match until the day after rising junior priority registration.

  • CS 334 Database Systems 6 credits

    Database systems are used in almost every aspect of computing, including managing data for websites and apps, but also large-scale data science archives. Why, and how? This course takes a multi-pronged approach. From a systems perspective, we will look at the low-level details of how a database system works internally, studying data storage, indexing, and query optimization. From a theory perspective, we will examine ideas such as normal forms and relational algebra. From a utilization perspective, we will look at how query languages such as SQL interface with the database system, and understand how SQL queries really work.

    • Spring 2026
    • 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 SDSC CS Elective
    • CS  334.01 Spring 2026

    • Faculty:David Musicant 🏫 👤
    • Size:34
    • M, WAnderson Hall 329 1:50pm-3:00pm
    • FAnderson Hall 329 2:20pm-3:20pm
  • CS 344 Human-Computer Interaction 6 credits

    The field of human-computer interaction addresses two fundamental questions: how do people interact with technology, and how can technology enhance the human experience? In this course, we will explore technology through the lens of the end user: how can we design effective, aesthetically pleasing technology, particularly user interfaces, to satisfy user needs and improve the human condition? How do people react to technology and learn to use technology? What are the social, societal, health, and ethical implications of technology? The course will focus on design methodologies, techniques, and processes for developing, testing, and deploying user interfaces.

    • Winter 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.

    • ACE Applied CGSC Elective CL: 300 level CS Major Electives SDSC CS Elective DGAH Critical Ethical Reflection
    • CS  344.01 Winter 2026

    • Faculty:Sneha Narayan 🏫 👤
    • Size:28
    • T, THAnderson Hall 329 1:15pm-3:00pm
    • 15 seats held for CS Match until the day after Sophomore Only priority registration.

  • CS 362 Computational Biology 6 credits

    Recent advances in high-throughput experimental techniques have revolutionized how biologists measure DNA, RNA and protein. The size and complexity of the resulting datasets have led to a new era where computational methods are essential to answering important biological questions. This course focuses on the process of transforming biological problems into well formed computational questions and the algorithms to solve them. Topics include approaches to sequence comparison and alignment; molecular evolution and phylogenetics; DNA/RNA sequencing and assembly; and specific disease applications including cancer genomics.

    • Spring 2026
    • 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.

    • CL: 300 level CS Major Electives SDSC CS Elective STAT Elective
    • CS  362.01 Spring 2026

    • Faculty:Layla Oesper 🏫 👤
    • Size:34
    • M, WLeighton 305 11:10am-12:20pm
    • FLeighton 305 12:00pm-1:00pm

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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 10 September 2025
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