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Your search for courses · during 2025-26 · tagged with SDSC CS Elective · returned 6 results
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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 2026, Winter 2027, Spring 2027
- FSR, Formal or Statistical Reasoning
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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 200 Requisite Equivalency AND CS 202 or MATH 236 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.
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CS 252.01 Fall 2026
- Faculty: Sneha Narayan 🏫 👤
- Size:28
- M, WWillis 204 12:30pm-1:40pm
- FWillis 204 1:10pm-2:10pm
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19 Seats held for CS Match until the day after rising sophomore priority registration.
Anticipated prefect-supported section.
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CS 252.01 Winter 2027
- Faculty: Eric Alexander 🏫 👤
- Size:28
- M, WHulings 316 9:50am-11:00am
- FHulings 316 9:40am-10:40am
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x Seats held for CS Match until the day after X priority registration.
Anticipated prefect-supported section.
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CS 252.01 Spring 2027
- Faculty: Sneha Narayan 🏫 👤
- Size:28
- M, WAnderson Hall 329 1:50pm-3:00pm
- FAnderson Hall 329 2:20pm-3:20pm
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x Seats held for CS Match until the day after X priority registration.
Anticipated prefect-supported section.
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CS 252.02 Spring 2027
- Faculty: Chelsey Edge 🏫 👤
- Size:28
- M, WLanguage & Dining Center 104 9:50am-11:00am
- FLanguage & Dining Center 104 9:40am-10:40am
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x Seats held for CS Match until the day after X priority registration.
Anticipated prefect-supported section.
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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 2026, Winter 2027, Spring 2027
- FSR, Formal or Statistical Reasoning
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Student has completed any one 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.
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CS 257.01 Fall 2026
- Faculty: Jean Salac 🏫 👤
- Size:28
- M, WHulings 316 11:10am-12:20pm
- FHulings 316 12:00pm-1:00pm
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11 Seats held for CS Match until the day after rising sophomore priority registration.
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CS 257.01 Spring 2027
- Faculty: Amy Csizmar Dalal 🏫 👤
- Size:28
- M, WHulings 316 1:50pm-3:00pm
- FHulings 316 2:20pm-3:20pm
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x Seats held for CS Match until the day after X priority registration.
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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.
- Winter 2027
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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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.
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CS 320* Machine Learning (*=Junior Seminar) 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. As a junior seminar, this course emphasizes written and oral scientific communication.
Not open to students who have previously taken CS 320.
X seats held for CS Match until the day after X priority registration.
- Spring 2027
- FSR, Formal or Statistical Reasoning
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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 200 Requisite Equivalency AND CS 202 or MATH 236 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.
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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 2027
- FSR, Formal or Statistical Reasoning
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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 200 Requisite Equivalency AND CS 202 or MATH 236 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.
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CS 321.01 Winter 2027
- Faculty: Chelsey Edge 🏫 👤
- Size:28
- M, WHulings 316 1:50pm-3:00pm
- FHulings 316 2:20pm-3:20pm
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x Seats held for CS Match until the day after X priority registration.
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CS 348 Parallel and Distributed Computing 6 credits
As multi-core machines become more prevalent, different programming paradigms have emerged for harnessing extra processors for better performance. This course explores parallel computation for both shared memory and distributed parallel programming paradigms. In particular, we will explore how these paradigms affect the code we write, the libraries we use, and the advantages and disadvantages of each. Topics will include synchronization primitives across these models for parallel execution, debugging concurrent programs, fork/join parallelism, example parallel algorithms, computational complexity and performance considerations, computer architecture as it relates to parallel computation, and related theory topics.
- Fall 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any one 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.