ENROLL Course Search

NOTE: There are some inconsistencies in the course listing data - ITS is looking into the cause.

Alternatives: For requirement lists, please refer to the current catalog. For up-to-the-minute enrollment information, use the "Search for Classes" option in The Hub. If you have any other questions, please email registrar@carleton.edu.

Saved Courses (0)

Your search for courses for 22/WI and with Curricular Exploration: FSR found 44 courses.

Revise Your Search New Search

CS 111.01 Introduction to Computer Science 6 credits

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

Olin 310

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 60490

Anya E Vostinar

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 111.02 Introduction to Computer Science 6 credits

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

Leighton 305

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 60491

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.WL2 (Synonym 60493)

CS 111.03 Introduction to Computer Science 6 credits

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

Leighton 305

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 60492

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 60494)

CS 201.01 Data Structures 6 credits

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

CMC 306

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 60495

Layla K Oesper

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 60497)

CS 201.02 Data Structures 6 credits

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

Anderson Hall 036

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 60496

Aaron W Bauer

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

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

Anderson Hall 121

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61930

Eric C Alexander

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 208.00 Introduction to Computer Systems 6 credits

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

Olin 310

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 60498

Jeffrey R Ondich

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.

Prerequisite: Computer Science 201 or instructor permission

CS 251.00 Programming Languages: Design and Implementation 6 credits

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

Olin 310

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61983

James O Ryan

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 252.00 Algorithms 6 credits

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

Anderson Hall 329

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 60499

Layla K Oesper

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.

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

CS 254.00 Computability and Complexity 6 credits

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

Olin 310

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 60500

James O Ryan

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 201 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: 35, Waitlist: 0

Weitz Center 235

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 60501

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 332.00 Operating Systems 6 credits

Open: Size: 34, Registered: 21, Waitlist: 0

CMC 301

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61994

Aaron W Bauer

If you're working in the lab, you might be editing a file while waiting for a program to compile. Meanwhile, the on-screen clock ticks, a program keeps watch for incoming e-mail, and other users can log onto your machine from elsewhere in the network. Not only that, but if you write a program that reads from a file on the hard drive, you are not expected to concern yourself with turning on the drive's motor or moving the read/write arms to the proper location over the disk's surface. Coordinating all this hardware and software is the job of the operating system. In this course we will study the fundamentals of operating system design, including the operating system kernel, scheduling and concurrency, memory management, and file systems.

Prerequisite: Computer Science 201 and 208 or instructor permission

CS 358.00 Quantum Computing 6 credits

Open: Size: 34, Registered: 26, Waitlist: 0

CMC 304

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61996

Josh R Davis

Quantum computing is a promising technology that may (or may not) revolutionize computer science over the next few decades. By exploiting quantum phenomena such as superposition and entanglement, quantum computers can solve problems in a fundamentally different way from that of conventional computers. This course surveys the computer science and mathematics of quantum algorithms, including Shor's and Grover's algorithms, error correction, and cryptography. No prior experience with quantum theory is needed.

Prerequisite: Computer Science 201, Mathematics 232, and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

LING 110.00 Introduction to Linguistics 6 credits

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

CMC 206

MTWTHF
1:15pm3:00pm1:15pm3:00pm
Synonym: 62161

Jenna T Conklin

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.

LING 216.00 Generative Approaches to Syntax 6 credits

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

Leighton 426

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 62162

Catherine R Fortin

This course has two primary goals: to provide participants with a forum to continue to develop their analytical skills (i.e. to 'do syntax'), and to acquaint them with generative syntactic theory, especially the Principles and Parameters approach. Participants will sharpen their technological acumen, through weekly problem solving, and engage in independent thinking and analysis, by means of formally proposing novel syntactic analyses for linguistic phenomena. By the conclusion of the course, participants will be prepared to read and critically evaluate primary literature couched within this theoretical framework.

Prerequisite: Linguistics 115

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

Closed: Size: 1, Registered: 1, Waitlist: 0

Synonym: 62908

MATH 101.00 Calculus with Problem Solving 6 credits

Open: Size: 30, Registered: 15, Waitlist: 0

CMC 209 / CMC 304

MTWTHF
9:50am11:00am9:00am10:00am9:50am11:00am9:00am10:00am9:40am10:40am
3:00pm5:00pm3:00pm5:00pm
Synonym: 61630

Deanna B 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. In addition to regular MWF class time, students will be expected to attend two problem-solving sessions each week, one on Monday or Tuesday, and one on Wednesday or Thursday.  Details will be provided on the first day of class.

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

Extra Time Required

MATH 111.01 Introduction to Calculus 6 credits

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

CMC 304

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61601

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: 21, Waitlist: 0

CMC 206

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 61602

MurphyKate Montee

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 or placement via a Carleton placement exam. Not open to students who have received credit for Mathematics 211 or have a score of 4 or 5 on the AP Calculus BC exam

MATH 120.02 Calculus 2 6 credits

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

CMC 209

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61603

Steve T Scheirer

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 or placement via a Carleton placement exam. Not open to students who have received credit for Mathematics 211 or have a score of 4 or 5 on the AP Calculus BC exam

MATH 120.03 Calculus 2 6 credits

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

CMC 209

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 61604

Claudio Gómez-Gonzáles

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 or placement via a Carleton placement exam. Not open to students who have received credit for Mathematics 211 or have a score of 4 or 5 on the AP Calculus BC exam

MATH 210.01 Calculus 3 6 credits

Open: Size: 30, Registered: 15, Waitlist: 0

CMC 209

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61607

Alex J Barrios

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: Mathematics 120. This course cannot be substituted for Mathematics 211

MATH 210.02 Calculus 3 6 credits

Open: Size: 30, Registered: 15, Waitlist: 0

CMC 206

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 61608

Alex J Barrios

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: Mathematics 120. This course cannot be substituted for Mathematics 211

MATH 211.00 Introduction to Multivariable Calculus 6 credits

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

CMC 206

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 61609

Rob C Thompson

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

Prerequisite: Score of 4 or 5 on the AP Calculus BC exam, or placement via Calculus Placement Exam #3

MATH 232.01 Linear Algebra 6 credits

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

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61610

Owen D Biesel

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

Prerequisite: Mathematics 120 or Mathematics 211

MATH 232.02 Linear Algebra 6 credits

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

CMC 210

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 61611

Rafe F Jones

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

Prerequisite: Mathematics 120 or Mathematics 211

MATH 236.00 Mathematical Structures 6 credits

Open: Size: 25, Registered: 17, Waitlist: 0

CMC 206

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61612

MurphyKate Montee

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

Sophomore Priority

Waitlist for Juniors and Seniors: MATH 236.WL0 (Synonym 61697)

MATH 240.00 Probability 6 credits

Open: Size: 30, Registered: 22, Waitlist: 0

CMC 210

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61656

Laura M Chihara

(Formerly Mathematics 265) 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 Mathematics 211

Formerly Mathematics 265

MATH 241.01 Ordinary Differential Equations 6 credits

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

CMC 210

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61613

Kate J Meyer

An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis.

Prerequisite: Mathematics 232 or instructor permission

MATH 241.02 Ordinary Differential Equations 6 credits

Open: Size: 25, Registered: 14, Waitlist: 0

CMC 301

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61614

Kate J Meyer

An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis.

Prerequisite: Mathematics 232 or instructor permission

MATH 331.00 Real Analysis II 6 credits

Open: Size: 20, Registered: 5, Waitlist: 0

CMC 319

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61631

Rafe F Jones

Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces.

Prerequisite: Mathematics 321 or instructor permission

MATH 342.00 Abstract Algebra I 6 credits

Open: Size: 25, Registered: 14, Waitlist: 0

CMC 206

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61632

Claudio Gómez-Gonzáles

Introduction to algebraic structures, including groups, rings, and fields. Homomorphisms and quotient structures, polynomials, unique factorization. Other topics may include applications such as Burnside's counting theorem, symmetry groups, polynomial equations, or geometric constructions.

Prerequisite: Mathematics 236 or instructor permission

MATH 354.00 Topology 6 credits

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

CMC 209

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 61634

Steve T Scheirer

An introduction to the study of topological spaces. We develop concepts from point-set and algebraic topology in order to distinguish between different topological spaces up to homeomorphism. Topics include methods of construction of topological spaces; continuity, connectedness, compactness, Hausdorff condition; fundamental group, homotopy of maps.

Prerequisite: Mathematics 236 or instructor permission

MATH 395.00 Algebraic Geometry Seminar 6 credits

Open: Size: 16, Registered: 10, Waitlist: 0

CMC 209

MTWTHF
10:10am11:55am10:10am11:55am

Other Tags:

Synonym: 61267

Mark Krusemeyer

An exploration of topics in algebraic geometry and related commutative algebra. Participants will each give at least one substantive presentation at the blackboard. Topics will definitely include the Hilbert basis theorem and the Nullstellensatz, but beyond that substantial variation is possible, depending on the interests and mathematical backgrounds of the participants.  

Prerequisite: Mathematics 342 or instructor consent

PHIL 210.00 Logic 6 credits

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

Leighton 304

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 62188

Jason A 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.

PSYC 200.00 Measurement and Data Analysis in Psychology 6 credits

Closed: Size: 45, Registered: 45, Waitlist: 0

Anderson Hall 121

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61782

Mija M Van Der Wege

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.

Prerequisite: Psychology 110 or instructor consent; Concurrent registration in Psychology 201

PSYC 201 required.

STAT 120.01 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 31, Waitlist: 0

CMC 102

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 61459

Adam Loy

(Formerly MATH 215) 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 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250 (formerly Mathematics 275).

Sophomore priority

Waitlist for Juniors and Seniors: STAT 120.WL1 (Synonym 61576)

STAT 120.02 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 30, Waitlist: 0

CMC 102

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61460

Laura M Chihara

(Formerly MATH 215) 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 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250 (formerly Mathematics 275).

Formerly Mathematics 215

STAT 120.03 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 31, Waitlist: 0

CMC 102

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61461

Andy N Poppick

(Formerly MATH 215) 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 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250 (formerly Mathematics 275).

Sophomore priority

Waitlist for Juniors and Seniors: STAT 120.WL3 (Synonym 61577)

STAT 220.00 Introduction to Data Science 6 credits

Open: Size: 30, Registered: 13, Waitlist: 0

CMC 102

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61462

Deepak Bastola

(Formerly Mathematics 285) 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, supervised and unsupervised classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.

Prerequisite: Statistics 120 (formerly Mathematics 215), Statistics 230 (formerly Mathematics 245) or Statistics 250 (formerly Mathematics 275)

Formerly Mathematics 285

STAT 230.00 Applied Regression Analysis 6 credits

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

CMC 102

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 61463

Andy N Poppick

(Formerly Mathematics 245) 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: Statistics 120 (formerly Mathematics 215), Statistics 250 (formerly Mathematics 275), Psychology 200, or AP Statistics Exam score of 4 or 5.

Formerly Mathematics 245

STAT 250.00 Introduction to Statistical Inference 6 credits

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

CMC 210

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61464

Adam Loy

(Formerly Mathematics 275) 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.

Prerequisite: Mathematics 240 Probability (formerly Mathematics 265)

Formerly Mathematics 275

STAT 260.00 Introduction to Sampling Techniques 6 credits

Open: Size: 28, Registered: 21, Waitlist: 0

CMC 301

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61465

Katie R St. Clair

(Formerly MATH 255) Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like two-phase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chi-square tests.

Prerequisite: Statistics 120 (formerly Mathematics 215), Statistics 230 (formerly Mathematics 245), or Statistics 250 (formerly Mathematics 275)

Formerly Mathematics 255

STAT 285.00 Statistical Consulting 2 credits, S/CR/NC only

Closed: Size: 0, Registered: 6, Waitlist: 0

CMC 201

MTWTHF
10:10am11:55am
Synonym: 61450

Andy N Poppick

(Formerly MATH 280) 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: Statistics 230 (formerly Mathematics 245) and instructor permission

Formerly Mathematics 280

Search for Courses

This data updates hourly. For up-to-the-minute enrollment information, use the Search for Classes option in The Hub

Instructional Mode
Class Period
Courses or labs meeting at non-standard times may not appear when searching by class period.
Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests