## 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.

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

### CS 111.01 Introduction to Computer Science 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

3:10pm4:20pm | 3:10pm4:20pm | 3:30pm4:30pm |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

*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

M | T | W | TH | F |
---|---|---|---|---|

8:30am9:40am | 8:30am9:40am | 8:30am9:30am |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

*Prerequisite:* Computer Science 201 or instructor permission

### CS 332.00 Operating Systems 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

1:15pm3:00pm | 1:15pm3:00pm |

#### Requirements Met:

#### Other Tags:

### LING 216.00 Generative Approaches to Syntax 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Linguistics 115

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

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

#### Requirements Met:

### MATH 101.00 Calculus with Problem Solving 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:00am10:00am | 9:50am11:00am | 9:00am10:00am | 9:40am10:40am |

3:00pm5:00pm | 3:00pm5:00pm |

#### Requirements Met:

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

*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

M | T | W | TH | F |
---|---|---|---|---|

8:30am9:40am | 8:30am9:40am | 8:30am9:30am |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

3:10pm4:20pm | 3:10pm4:20pm | 3:30pm4:30pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

3:10pm4:20pm | 3:10pm4:20pm | 3:30pm4:30pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

#### Other Tags:

*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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 232.02 Linear Algebra 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 236.00 Mathematical Structures 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

*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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 232 or instructor permission

### MATH 241.02 Ordinary Differential Equations 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 232 or instructor permission

### MATH 331.00 Real Analysis II 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 321 or instructor permission

### MATH 342.00 Abstract Algebra I 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 236 or instructor permission

### MATH 354.00 Topology 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

10:10am11:55am | 10:10am11:55am |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

### PSYC 200.00 Measurement and Data Analysis in Psychology 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

*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

M | T | W | TH | F |
---|---|---|---|---|

8:30am9:40am | 8:30am9:40am | 8:30am9:30am |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

(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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

10:10am11:55am |

#### Requirements Met:

#### Special Interests:

(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