Search Results
Your search for courses · during 26SP · meeting requirements for FSR, Formal or Statistical Reasoning · returned 36 results
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ARTS 220* Art, Interactivity, and Microcontrollers (*=Junior Seminar) 6 credits
In this hands-on course, taught (in an art studio) by a sculpture professor and computer science professor, we'll explore and create interactive three dimensional art. Using basic construction techniques, microprocessors, and programming, we bring together sculpture, engineering, computer science, and aesthetic design. Students engage the nuts and bolts of fabrication, learn to program microcontrollers, and study the design of interactive constructions. Additionally, students will deliver technical presentations describing their work and receive feedback for improvement. Collaborative labs and individual projects culminate in a campus-wide exhibition. No prior building experience is required.
ARTS 220* is cross listed with CS 220*.
Seats held for Art and Art History majors and CS Match.
Extra Time Required: Field trip to the Walker sculpture garden.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): CS 111 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 who have taken CS 232 or CS 220.
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ARTS 220*.02 Spring 2026
- Faculty:Stephen Mohring 🏫 👤 · David Musicant 🏫 👤
- Size:12
- T, THBoliou 160 9:00am-11:30am
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Extra Time Required: Field trip to the Walker sculpture garden.
2 seats held for Art and Art History majors until the day after junior priority registration.
10 seats held for CS Match until the day after X priority registration.
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CS 111 Introduction to Computer Science 6 credits
This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary.
Sophomore Priority section is available
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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NOT open to students who have completed any of the following course(s): CS 200 or greater with a grade of C- or better.
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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.
- 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 Spring 2026
- Faculty:Sneha Narayan 🏫 👤
- Size:28
- M, WHulings 316 1:50pm-3:00pm
- FHulings 316 2:20pm-3:20pm
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28 seats held for CS Match until the day after X priority registration.
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CS 208 Introduction to Computer Systems 6 credits
Are you curious what’s really going on when a computer runs your code? In this course we will demystify the machine and the tools that we use to program it. Our broad survey of how computer systems execute programs, store information, and communicate will focus on the hardware/software interface, including data representation, instruction set architecture, the C programming language, memory management, and the operating system process model.
- Spring 2026
- 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 201 or better Requisite Equivalency.
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CS 208.01 Spring 2026
- Faculty:Jeff Ondich 🏫 👤
- Size:28
- M, WAnderson Hall 329 8:30am-9:40am
- FAnderson Hall 329 8:30am-9:30am
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28 seats held for CS Match until the day after X priority registration.
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CS 220* Art, Interactivity, and Microcontrollers (*=Junior Seminar) 6 credits
In this hands-on course, taught (in an art studio) by a sculpture professor and computer science professor, we'll explore and create interactive three dimensional art. Using basic construction techniques, microprocessors, and programming, we bring together sculpture, engineering, computer science, and aesthetic design. Students engage the nuts and bolts of fabrication, learn to program microcontrollers, and study the design of interactive constructions. Additionally, students will deliver technical presentations describing their work and receive feedback for improvement. Collaborative labs and individual projects culminate in a campus-wide exhibition. No prior building experience is required.
ARTS 220* is cross listed with CS 220*.
Seats held for Art and Art History majors and CS Match.
Extra Time Required: Field trip to the Walker sculpture garden.
- Spring 2026
- FSR, Formal or Statistical Reasoning
-
Student has completed any of the following course(s): CS 111 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 who have taken CS 232 or CS 220.
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CS 220*.02 Spring 2026
- Faculty:Stephen Mohring 🏫 👤 · David Musicant 🏫 👤
- Size:12
- T, THBoliou 160 9:00am-11:30am
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Extra Time Required: Field trip to the Walker sculpture garden.
2 seats held for Art and Art History majors until the day after junior priority registration.
10 seats held for CS Match until the day after X priority registration.
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CS 251 Programming Languages: Design and Implementation 6 credits
What makes a programming language like “Python” or like “Java”? This course will look past superficial properties (like indentation) and into the soul of programming languages. We will explore a variety of topics in programming language construction and design: syntax and semantics, mechanisms for parameter passing, typing, scoping, and control structures. Students will expand their programming experience to include other programming paradigms, including functional languages like Scheme and ML.
- Spring 2026
- 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 201 or better Requisite Equivalency.
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CS 251.01 Spring 2026
- Faculty:Tanya Amert 🏫 👤
- Size:28
- M, WHulings 316 11:10am-12:20pm
- FHulings 316 12:00pm-1:00pm
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28 seats held for CS Match until the day after X priority registration.
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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.
- Spring 2026
- 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 Spring 2026
- Faculty:Eric Alexander 🏫 👤
- Size:28
- M, WAnderson Hall 329 9:50am-11:00am
- FAnderson Hall 329 9:40am-10:40am
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28 seats held for CS Match until the day after X priority registration.
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CS 254 Computability and Complexity 6 credits
An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.
- Spring 2026
- 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 254.01 Spring 2026
- Faculty:Chelsey Edge 🏫 👤
- Size:28
- M, WLanguage & Dining Center 104 12:30pm-1:40pm
- FLanguage & Dining Center 104 1:10pm-2:10pm
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28 seats held for CS Match until the day after X priority registration.
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CS 254.02 Spring 2026
- Faculty:Anna Rafferty 🏫 👤
- Size:28
- M, WLeighton 305 9:50am-11:00am
- FLeighton 305 9:40am-10:40am
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28 seats held for CS Match until the day after X priority registration.
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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.
- Spring 2026
- 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 201 or better Requisite Equivalency.
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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
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28 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.
- Spring 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. Not open to students who have taken CS 314.
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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
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16 seats held for CS Match until the day after X priority registration.
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CS 327* Introduction to Robotics (*=Junior Seminar) 6 credits
Have you ever wondered how a robotic vacuum is able to navigate back to its charger after cleaning? In this course we will explore concepts of robotic systems including: kinematics, sensors and perception, path planning, and control. In addition to learning the theory behind these topics, students will have the opportunity to design, program, and deploy behaviors for a mobile robot. This course emphasizes technical communication, including both writing and speaking components.
- Spring 2026
- 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 201 or better Requisite Equivalency AND MATH 134 or MATH 232 with a grade of C- or better or received a Carleton Math 232 Requisite Equivalency AND CS 202 (MATH 236 will be accepted in lieu of CS 202) with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency.
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CS 327*.01 Spring 2026
- Faculty:Chelsey Edge 🏫 👤
- Size:16
- M, WHulings 316 8:30am-9:40am
- FHulings 316 8:30am-9:30am
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16 seats held for CS Match until the day after X priority registration.
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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
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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 334.01 Spring 2026
- Faculty:David Musicant 🏫 👤
- Size:34
- M, WAnderson Hall 329 1:50pm-3:00pm
- FAnderson Hall 329 2:20pm-3:20pm
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34 seats held for CS Match until the day after X priority registration.
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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
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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 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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34 seats held for CS Match until the day after X priority registration.
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LING 110 Introduction to Linguistics 6 credits
The capacity to acquire and use natural languages such as English is surely one of the more remarkable features of human nature. In this course, we explore several aspects of this ability. Topics include the sound systems of natural languages, the structure of words, principles that regulate word order, the course of language acquisition in children, and what these reveal about the nature of the mind.
Sophomore Priority section is available
- Spring 2026
- FSR, Formal or Statistical Reasoning
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LING 110.01 Spring 2026
- Faculty:Yoolim Kim 🏫 👤
- Size:30
- M, WWillis 211 9:50am-11:00am
- FWillis 211 9:40am-10:40am
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Sophomore Priority
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LING 115 Introduction to the Theory of Syntax 6 credits
This course is organized to enable the student to actively participate in the construction of a rather elaborate theory of the nature of human cognitive capacity to acquire and use natural languages. In particular, we concentrate on one aspect of that capacity: the unconscious acquisition of a grammar that enables a speaker of a language to produce and recognize sentences that have not been previously encountered. In the first part of the course, we concentrate on gathering notation and terminology intended to allow an explicit and manageable description. In the second part, we depend on written and oral student contributions in a cooperative enterprise of theory construction.
Sophomore Priority section is available
- Spring 2026
- FSR, Formal or Statistical Reasoning
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LING 115.01 Spring 2026
- Faculty:Catherine Fortin 🏫 👤
- Size:20
- M, WLeighton 426 11:10am-12:20pm
- FLeighton 426 12:00pm-1:00pm
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Sophomore Priority
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LING 340 Topics in Semantics 6 credits
Semantics is the study of what words and constructions mean in a language and how speakers come to actually interpret those meanings. In this course we explore several objects of inquiry within the field of semantics, including compositional semantics (i.e., the computation of meaning over syntactic structures), lexical semantics (with a particular emphasis on verb meanings), and how the various interpretations of ambiguous constructions are derived.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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MATH 120 Calculus 2 6 credits
Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.
Not open to students who have received credit for MATH 211 or have a score of 4 or 5 on the AP Calculus BC exam.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 101 or MATH 111 with a grade of C- or better or received a scored of 4 or better on AP Calculus AB test or received a scored of 5 or better on Calculus IB test or received a Carleton Math 111 Requisite Equivalency or placement exam. Not open to students who received a scored of 4 or better on the AP Calculus BC test or completed MATH 211 with a grade of C- or better.
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MATH 134 Linear Algebra with Applications 6 credits
Linear algebra centers on the geometry, algebra, and applications of linear equations. It is pivotal to many areas of mathematics, natural sciences, computer science, and engineering. To study linear equations, we will develop concepts including matrix algebra, linear independence, determinants, eigenvectors, and orthogonality. Students will use these tools to model real world problems and solve these problems using computational software.
This course is not open to students who have received credit for MATH 232.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Not open to students who have taken MATH 232 or equivalents.
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MATH 210 Calculus 3 6 credits
Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series. This course cannot be substituted for MATH 211.
This course cannot be substituted for MATH 211
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 120 with a grade of C- or better. Students who have received a score of 4 or greater on the AP Calculus BC exam should register for MATH 211.
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MATH 232 Linear Algebra 6 credits
Linear algebra centers on the study of highly structured functions called linear transformations. Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear transformations are everywhere, once we know what to look for. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. In fact, differentiation is also a linear transformation that takes one function to another. The course focuses on developing geometric intuition as well as computational matrix methods. Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues.
This course is not open to students who have received credit for MATH 134.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 120 or MATH 211 with a grade of C- or better or received a Carleton Math 211 Requisite Equivalency.
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MATH 236 Mathematical Structures 6 credits
Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures, graph theory, and basic combinatorics.
Sophomore Priority section is available
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 134 or MATH 232 AND MATH 210 or MATH 211 with a grade of C- or better or equivalent.
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MATH 241 Ordinary Differential Equations 6 credits
Ordinary differential equations are a fundamental language used by mathematicians, scientists, and engineers to describe processes involving continuous change. In this course we develop ordinary differential equations as models of real world phenomena and explore the mathematical ideas that arise within these models. Topics include separation of variables; phase portraits; equilibria and their stability; non-dimensionalization; bifurcation analysis; and modeling of physical, biological, chemical, and social processes.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student must have completed any of the following course(s): MATH 134 or MATH 232 AND MATH 120 or MATH 211 with a grade of C- or better or equivalents.
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MATH 271 Optimization 6 credits
Optimization is all about selecting the "best" thing. Finding the most likely strategy to win a game, the route that gets you there the fastest, or the curve that most closely fits given data are all examples of optimization problems. In this course we study linear optimization (also known as linear programming), the simplex method, and duality from both a theoretical and a computational perspective. Applications will be selected from statistics, economics, computer science, and more. Additional topics in nonlinear and convex optimization will be covered as time permits.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student must have completed any of the following course(s): MATH 134 or MATH 232 AND MATH 120 or MATH 211 with a grade of C- or better or equivalents.
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MATH 295 Tessellation 6 credits
This course explores a particularly visual sort of mathematical pattern: a tessellation. A tessellation is a way of covering the plane with shapes (called “tiles”) that don’t overlap. This class will explore questions like: Is it possible to make a tessellation out of a given set of tiles? How many different tessellations can I create from this set of tiles? We’ll cover both classical results (it is impossible to tile the plane with heptagons!), and the 2023 construction of the “Einstein tile”: the first known polygon that tiles the plane but never periodically. Links will be made with graph theory, topology, and geometry.
Repeatable: This course is repeatable provided the topics are different.
Sophomore Priority
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 236 with a grade of C- or better or received a Carleton Math 236 Requisite Equivalency exam.
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MATH 321 Real Analysis I 6 credits
A systematic study of single-variable functions on the real numbers. This course develops the mathematical concepts and tools needed to understand why calculus really works: the topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 236 AND MATH 210 or MATH 211 with a grade of C- or better or equivalents.
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MATH 341 Partial Differential Equations 6 credits
An introduction to partial differential equations with emphasis on the heat equation, wave equation, and Laplace’s equation. Topics include the method of characteristics, separation of variables, Fourier series, Fourier transforms and existence/uniqueness of solutions.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 241 with grade of C- or better.
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MATH 352 Galois Theory 6 credits
In the nineteenth century, Évariste Galois discovered a deep connection between field theory and group theory. Now known as Galois theory, this led to the resolution of several centuries-old problems, including whether there is a version of the quadratic formula for higher-degree polynomials, and whether the circle can be squared. Today Galois theory is a fundamental concept for many mathematical fields, from topology to algebra to number theory. This course develops the theory in a modern framework, and explores several applications. Topics include field extensions, classical constructions, splitting fields, the Galois correspondence, Galois groups of polynomials, and solvability by radicals.
This course can be repeated only by students who took MATH 352 22-23
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 342 with grade of C- or better.
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MATH 362 Representation Theory of Finite Groups 6 credits
Representation theory is the study of mathematical structures via the tools of linear algebra. The first objects to be studied in this way were finite groups at the end of the nineteenth century, motivated by the powerful framework of characters in number theory, but the field has generalized incredibly due to the prevalence of symmetry throughout mathematics, physics, and beyond. In this course the focus is on finite groups. Topics include Maschke’s theorem, complete reducibility, and Schur’s lemma; characters, orthogonality relations, and character tables; Fourier transformations and random walks. Additional topics may include Burnside’s Lemma, Frobenius reciprocity, and an exploration of representations of infinite groups.
- Spring 2026
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): MATH 342 with grade of C- or better.
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PSYC 200 Measurement and Data Analysis in Psychology 6 credits
The course considers the role of measurement and data analysis focused on behavioral sciences. Various forms of measurement and standards for the evaluation of measures are explored. Students learn how to summarize, organize, and evaluate data using a variety of techniques that are applicable to research in psychology and other disciplines. Among the analyses discussed and applied are tests of means, various forms of analysis of variance, correlation and regression, planned and post-hoc comparisons, as well as various non-parametric tests. Research design is also explored.
Requires concurrent registration in PSYC 201.
Waitlist Information: If you would like to waitlist for a PSYC 201 lab section, you will need to UNCHECK the box for the lecture section, PSYC 200, prior to completing the waitlist process. If you are offered a seat in the lab, you will be able to register for the lecture at the same time.
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): PSYC 110 or received a score of 4 or better on the Psychology AP exam or received a score of 6 or better on the Psychology IB exam OR CGSC/PSYC 232 and CGSC/PSYC 233 with a grade of C- or better.
- PSYC 201: Measurement and Data Analysis Lab
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PSYC 200.01 Spring 2026
- Faculty:Violet Brown 🏫 👤
- M, WAnderson Hall 329 12:30pm-1:40pm
- FAnderson Hall 329 1:10pm-2:10pm
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STAT 120 Introduction to Statistics 6 credits
Introduction to statistics and data analysis. Practical aspects of statistics will be emphasized, including extensive use of programming in the statistical software R, interpretation and communication of results. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, the normal distribution, randomization approach to inference, sampling distributions, estimation, and hypothesis testing. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 Probability/Statistical Inference sequence.
Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Not open to students that have taken PSYC 200 , PSYC 201, SOAN 239 or STAT 250.
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STAT 220 Introduction to Data Science 6 credits
This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling, data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, an introduction to classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): STAT 120 or STAT 230, or STAT 250 with a grade of C- or better.
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STAT 230 Applied Regression Analysis 6 credits
A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software R to analyze real-life data.
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): STAT 120 or STAT 250 or PSYC 200 or SOAN 239 with a grade of C- or better or received a score of 4 or better on the Statistics AP exam.
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STAT 250 Introduction to Statistical Inference 6 credits
Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): MATH 240 with a grade of C- or better.
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STAT 285 Statistical Consulting 2 credits
Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics.
All interested students are encouraged to add to the waitlist and the instructor will reach out after registration. This course is repeatable, but if the instructor cannot admit every student on the waitlist, priority will be given first to Statistics majors who have not previously taken the course and then to other students who have not taken the course.
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed the following course(s): STAT 230 with a grade of C- or better.
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STAT 285.01 Spring 2026
- Faculty:Andy Poppick 🏫 👤
- Grading:S/CR/NC
- TCMC 304 10:10am-11:55am
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All interested students are encouraged to add to the waitlist and the instructor will reach out after registration. This course is repeatable, but if the instructor cannot admit every student on the waitlist, priority will be given first to Statistics majors who have not previously taken the course and then to other students who have not taken the course.
Waitlist Only
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STAT 330 Advanced Statistical Modeling 6 credits
Topics include linear mixed effects models for repeated measures, longitudinal or hierarchical data and generalized linear models (of which logistic and Poisson regression are special cases) including zero-inflated Poisson models. Depending on time, additional topics could include survival analysis or generalized additive models.
- Spring 2026
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): STAT 230 AND STAT 250 with a grade of C- or better AND has completed or is in the process of completing MATH 134 or MATH 232 with a grade of C- or better or received a Carleton Math 232 Requisite Equivalency.