Search Results
Your search for courses · during 25FA, 26WI, 26SP · taught by snarayan · returned 5 results
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CS 201 Data Structures 6 credits
Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that “there has to be a better/smarter way to do this problem”? The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs, and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.
Sophomore Priority section is available
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): CS 111 with a grade of C- or better or a score of 4 or better on the Computer Science A AP exam or received a Carleton Computer Science 111 Requisite Equivalency. Not open to students that have taken CS 200.
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CS 202 Mathematics of Computer Science 6 credits
This course introduces some of the formal tools of computer science, using a variety of applications as a vehicle. You’ll learn how to encode data so that when you scratch the back of a DVD, it still plays just fine; how to distribute “shares” of your floor’s PIN so that any five of you can withdraw money from the floor bank account (but no four of you can); how to play chess; and more. Topics that we’ll explore along the way include: logic and proofs, number theory, elementary complexity theory and recurrence relations, basic probability, counting techniques, and graphs.
- Winter 2026, Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): CS 111 with a grade of C- or better or received a score of 4 or better on the AP Computer Science exam or received a Carleton Computer Science 111 or better Requisite Equivalency AND MATH 101 or MATH 111 or greater with a grade of C- or better or greater or received a score of 4 or better on the Calculus AB AP exam or received a score of 4 or better on the Calculus BC AP exam or received a score of 5 or better on the Mathematics IB exam or received a Carleton MATH 111 or better Requisite Equivalency.
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CS 202.01 Winter 2026
- Faculty:Sneha Narayan 🏫 👤
- Size:28
- M, WLanguage & Dining Center 104 11:10am-12:20pm
- FLanguage & Dining Center 104 12:00pm-1:00pm
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17 seats held for CS Match until the day after First Year priority registration.
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CS 202.01 Spring 2026
- Faculty:Sneha Narayan 🏫 👤
- Size:28
- M, WHulings 316 1:50pm-3:00pm
- FHulings 316 2:20pm-3:20pm
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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 2025
- FSR, Formal or Statistical Reasoning
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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.
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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
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21 seats held for CS Match until the day after rising sophomore (only) priority registration.
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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
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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.
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CS 344.01 Winter 2026
- Faculty:Sneha Narayan 🏫 👤
- Size:28
- T, THAnderson Hall 329 1:15pm-3:00pm
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15 seats held for CS Match until the day after Sophomore Only priority registration.
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CS 394 Directed Research in Computer Science 1 – 6 credits
Students work on a research project related to a faculty member's research interests, and directed by that faculty member. Student activities vary according to the field and stage of the project. The long-run goal of these projects normally includes dissemination to a scholarly community beyond Carleton. The faculty member will meet regularly with the student and actively direct the work of the student, who will submit an end-of-term product, typically a paper or presentation.
Register for this course by submitting the Directed Research form which requires approval from the project faculty supervisor and your adviser.
- Fall 2025, Winter 2026, Spring 2026
- No Exploration