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Your search for courses for 19/FA and with Curricular Exploration: FSR found 40 courses.

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CS 111.01 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 31, Waitlist: 0

CMC 102

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 53194

Sneha Narayan

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. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore priority

Waitlist for Juniors and Seniors: CS 111.WL1 (Synonym 53197)

CS 111.02 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 32, Waitlist: 0

CMC 102

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 53195

Aaron W Bauer

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. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

CS 111.03 Introduction to Computer Science 6 credits

Closed: Size: 34, Registered: 34, Waitlist: 0

Anderson Hall 329

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 53196

David Liben-Nowell

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. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore Priority

Waitlist for Juniors and Seniors: CS 111.WL3 (Synonym 53198)

CS 201.01 Data Structures 6 credits

Open: Size: 34, Registered: 33, Waitlist: 0

CMC 301

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 53199

Sam Tucker

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.

Prerequisite: Computer Science 111 or instructor permission

Sophomore Priority

Waitlist for Juniors and Seniors: CS 201.WL1 (Synonym 53201)

CS 201.02 Data Structures 6 credits

Closed: Size: 34, Registered: 28, Waitlist: 0

CMC 301

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 53200

Sam Tucker

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.

Prerequisite: Computer Science 111 or instructor permission

CS 202.00 Mathematics of Computer Science 6 credits

Open: Size: 34, Registered: 27, Waitlist: 0

CMC 210

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 53202

Sneha Narayan

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.

Prerequisite: Computer Science 111 and Mathematics 111 or instructor permission

CS 251.00 Programming Languages: Design and Implementation 6 credits

Closed: Size: 34, Registered: 34, Waitlist: 0

CMC 210

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55020

David Musicant

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.

Prerequisite: Computer Science 201 or instructor permission

CS 254.00 Computability and Complexity 6 credits

Closed: Size: 34, Registered: 34, Waitlist: 0

CMC 301

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 53204

Anna Rafferty

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.

Prerequisite: Computer Science 111 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

CS 257.00 Software Design 6 credits

Closed: Size: 34, Registered: 36, Waitlist: 0

Weitz Center 235

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 53205

Amy Csizmar Dalal

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.

Prerequisite: Computer Science 201 or instructor permission

CS 321.00 Artificial Intelligence 6 credits

Closed: Size: 34, Registered: 44, Waitlist: 0

Leighton 305

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 55057

David Musicant

How can we design computer systems with behavior that seems "intelligent?" This course will examine a number of different approaches to this question, including intelligent search computer game playing, automated logic, machine learning (including neural networks), and reasoning with uncertainty. The coursework is a mix of problem solving and computer programming based on the ideas that we discuss.

Prerequisite: Computer Science 201. Additionally Computer Science 202 is strongly recommended.

CS 362.00 Computational Biology 6 credits

Open: Size: 34, Registered: 25, Waitlist: 0

CMC 209

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm

Other Tags:

Synonym: 55021

Layla Oesper

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.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

LING 115.00 Introduction to the Theory of Syntax 6 credits

Closed: Size: 20, Registered: 16, Waitlist: 0

Weitz Center 233

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm

Other Tags:

Synonym: 53381

Cherlon Ussery

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.

LING 217.00 Phonetics and Phonology 6 credits

Open: Size: 25, Registered: 18, Waitlist: 0

Willis 203

MTWTHF
1:15pm3:00pm1:15pm3:00pm
Synonym: 53382

Jenna Conklin

Although no two utterances are ever exactly the same, we humans don't function like tape recorders; we overlook distinctions to which mechanical recording devices are sensitive, and we "hear" contrasts which are objectively not there. What we (think we) hear is determined by the sound system of the language we speak. This course examines the sound systems of human languages, focusing on how speech sounds are produced and perceived, and how these units come to be organized into a systematic network in the minds of speakers of languages.

Prerequisite: 100-level Linguistics course

LING 399.00 Senior Thesis 3 credits, S/CR/NC only

Open: Size: 25, Registered: 8, Waitlist: 0

Goodsell 03

MTWTHF
3:10pm4:55pm
Synonym: 53386

MATH 101.00 Calculus with Problem Solving 6 credits

Open: Size: 30, Registered: 26, Waitlist: 0

CMC 209

MTWTHF
8:30am9:40am8:15am9:20am8:30am9:40am8:15am9:20am8:30am9:30am
Synonym: 54635

Deanna Haunsperger

An introduction to the central ideas of calculus with review and practice of those skills needed for the continued study of calculus. Problem solving strategies will be emphasized. (Meets Monday through Friday).

Prerequisite: Not open to students who have received credit for Math 111.

MATH 111.01 Introduction to Calculus 6 credits

Open: Size: 30, Registered: 26, Waitlist: 0

Laird 212

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 53390

Caroline Turnage-Butterbaugh

An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus.

Prerequisite: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101.

MATH 111.02 Introduction to Calculus 6 credits

Open: Size: 30, Registered: 29, Waitlist: 0

Weitz Center 233

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 53391

Owen D Biesel

An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus.

Prerequisite: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101.

MATH 111.03 Introduction to Calculus 6 credits

Open: Size: 30, Registered: 24, Waitlist: 0

CMC 209

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 53392

Owen D Biesel

An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus.

Prerequisite: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101.

MATH 120.01 Calculus 2 6 credits

Open: Size: 30, Registered: 28, Waitlist: 0

CMC 209

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 53394

Caroline Turnage-Butterbaugh

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.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 120.02 Calculus 2 6 credits

Closed: Size: 30, Registered: 25, Waitlist: 0

CMC 210

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 53393

Rafe Jones

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.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 120.03 Calculus 2 6 credits

Open: Size: 30, Registered: 21, Waitlist: 0

CMC 209

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 53395

Alex J Barrios

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.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 120.04 Calculus 2 6 credits

Open: Size: 30, Registered: 27, Waitlist: 0

CMC 210

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 53396

Rafe Jones

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.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 210.00 Calculus 3 6 credits

Open: Size: 30, Registered: 17, Waitlist: 0

Weitz Center 233

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 54628

Eric Egge

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.

Prerequisite: Math 120.

MATH 211.01 Introduction to Multivariable Calculus 6 credits

Closed: Size: 25, Registered: 27, Waitlist: 0

CMC 210

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 53398

Gail Nelson

Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem.

Prerequisite: Mathematics 121 or placement via Calculus Placement Exam #3

MATH 211.02 Introduction to Multivariable Calculus 6 credits

Closed: Size: 30, Registered: 28, Waitlist: 0

CMC 209

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 53399

Deanna Haunsperger

Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem.

Prerequisite: Mathematics 121 or placement via Calculus Placement Exam #3

MATH 211.03 Introduction to Multivariable Calculus 6 credits

Closed: Size: 30, Registered: 31, Waitlist: 0

CMC 210

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 53400

Kate S Hake

Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem.

Prerequisite: Mathematics 121 or placement via Calculus Placement Exam #3

MATH 215.01 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 32, Waitlist: 0

Language & Dining Center 104

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 53401

Tom Madsen

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

MATH 215.02 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 32, Waitlist: 0

CMC 102

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 53402

Tom Madsen

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

MATH 232.01 Linear Algebra 6 credits

Closed: Size: 25, Registered: 25, Waitlist: 0

Weitz Center 133

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 53403

Eric Egge

Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues.

Prerequisite: Mathematics 120 or 211

MATH 232.02 Linear Algebra 6 credits

Open: Size: 25, Registered: 19, Waitlist: 0

CMC 319

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 53404

Gail Nelson

Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues.

Prerequisite: Mathematics 120 or 211

MATH 236.00 Mathematical Structures 6 credits

Open: Size: 25, Registered: 24, Waitlist: 0

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 53405

Alex J Barrios

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.

Prerequisite: Mathematics 232 and either Mathematics 210 or Mathematics 211

MATH 245.00 Applied Regression Analysis 6 credits

Closed: Size: 24, Registered: 27, Waitlist: 0

CMC 102

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 53406

Katie St. Clair

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 to analyze real-life data.

Prerequisite: Mathematics 215 (or equivalent) or 275

MATH 265.01 Probability 6 credits

Closed: Size: 30, Registered: 30, Waitlist: 0

CMC 206

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 53408

Katie St. Clair

Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

Prerequisite: Mathematics 120 or 211

MATH 265.02 Probability 6 credits

Open: Size: 30, Registered: 23, Waitlist: 0

CMC 206

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 53409

Josh Davis

Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

Prerequisite: Mathematics 120 or 211

MATH 280.00 Statistical Consulting 2 credits, S/CR/NC only

Closed: Size: 0, Registered: 9, Waitlist: 0

CMC 201

MTWTHF
10:10am11:55am

Other Tags:

Synonym: 53410

Adam Loy

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.

Prerequisite: Mathematics 245 and instructor permission

Waitlist Only. Instructor Permission required.

MATH 295.00 Numerical Analysis 6 credits

Closed: Size: 20, Registered: 19, Waitlist: 0

CMC 206

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 54636

Rob Thompson

Methods of mathematical approximation and applications to scientific computing. Topics include optimization, interpolation, numerical linear algebra, solution of differential equations, and Fourier methods. Both theory and implementation of numerical algorithms will be emphasized.

Prerequisite: Mathematics 232

MATH 315.00 Topics Probability/Statistics: Bayesian Statistics 6 credits

Open: Size: 23, Registered: 20, Waitlist: 0

CMC 319

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 53412

Adam Loy

An introduction to statistical inference and modeling in the Bayesian paradigm. Topics include Bayes' Theorem, common prior and posterior distributions, hierarchical models, Markov chain Monte Carlo methods (e.g., the Metropolis-Hastings algorithm and Gibbs sampler) and model adequacy and posterior predictive checks. The course uses R extensively for simulations.

Prerequisite: Mathematics 275

MATH 321.00 Real Analysis I 6 credits

Closed: Size: 20, Registered: 27, Waitlist: 0

Language & Dining Center 244

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 54637

Michael P Cohen

A systematic study of concepts basic to calculus, such as topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions.

Prerequisite: Mathematics 236 or permission of the instructor

MATH 332.00 Advanced Linear Algebra 6 credits

Open: Size: 30, Registered: 24, Waitlist: 0

CMC 206

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 54638

Mark Krusemeyer

Selected topics beyond the material of Mathematics 232. Topics may include the Cayley-Hamilton theorem, the spectral theorem, factorizations, canonical forms, determinant functions, estimation of eigenvalues, inner product spaces, dual vector spaces, unitary and Hermitian matrices, operators, infinite-dimensional spaces, and various applications.

Prerequisite: Mathematics 236 or instructor permission

PHIL 210.00 Logic 6 credits

Closed: Size: 25, Registered: 24, Waitlist: 0

Leighton 304

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 55065

Jason Decker

The study of formal logic has obvious and direct applicability to a wide variety of disciplines (including mathematics, computer science, linguistics, philosophy, cognitive science, and many others). Indeed, the study of formal logic helps us to develop the tools and know-how to think more clearly about arguments and logical relationships in general; and arguments and logical relationships form the backbone of any rational inquiry. In this course we will focus on propositional logic and predicate logic, and look at the relationship that these have to ordinary language and thought.

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