## 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 21/FA and with Curricular Exploration: FSR found 44 courses.

### CS 111.01 Introduction to Computer Science 6 credits

Closed: Size: 34, Registered: 32, 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.WL1 (Synonym 60377)

### CS 111.02 Introduction to Computer Science 6 credits

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

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

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

#### 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 111.03 Introduction to Computer Science 6 credits

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

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

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

#### 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 60378)

### CS 201.01 Data Structures 6 credits

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

M | T | W | TH | F |
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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 60381)

### CS 201.02 Data Structures 6 credits

Open: Size: 34, Registered: 30, Waitlist: 0

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

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

#### 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: 32, Waitlist: 0

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

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

#### 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 |
---|---|---|---|---|

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

#### 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: 32, Waitlist: 0

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

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

#### 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: 35, Waitlist: 0

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

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

#### 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 257.00 Software Design 6 credits

Closed: Size: 34, Registered: 35, Waitlist: 0

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

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

#### Requirements Met:

*Prerequisite:* Computer Science 201 or instructor permission

### CS 321.00 Making Decisions with Artificial Intelligence 6 credits

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

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

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

#### Requirements Met:

#### Other Tags:

There are many situations where computer systems must make intelligent choices, from selecting actions in a game, to suggesting ways to distribute scarce resources for monitoring endangered species, to a search-and-rescue robot learning to interact with its environment. Artificial intelligence offers multiple frameworks for solving these problems. While popular media attention has often emphasized supervised machine learning, this course instead engages with a variety of other approaches in artificial intelligence, both established and cutting edge. These include intelligent search strategies, game playing approaches, constrained decision making, reinforcement learning from experience, and more. Coursework includes problem solving and programming.

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

### CS 362.00 Computational Biology 6 credits

Open: Size: 34, Registered: 22, Waitlist: 0

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

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

#### Requirements Met:

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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)

### ENTS 232.00 Research Methods in Environmental Studies 3 credits

Open: Size: 25, Registered: 12, Waitlist: 0

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

1:15pm3:00pm |

#### Requirements Met:

### LING 115.00 Introduction to the Theory of Syntax 6 credits

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

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

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

#### Requirements Met:

#### Other Tags:

### LING 217.00 Phonetics and Phonology 6 credits

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

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

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

#### Requirements Met:

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Jenna T Conklin, Daniel K Haataja

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 315.00 Topics in Syntax 6 credits

Open: Size: 15, Registered: 8, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Linguistics 216

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

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

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

3:10pm4:55pm |

#### Requirements Met:

### MATH 101.00 Calculus with Problem Solving 6 credits

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

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

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

#### 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

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

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

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

#### Requirements Met:

*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

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

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

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

#### Requirements Met:

*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

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

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

#### Requirements Met:

*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

Open: Size: 30, Registered: 23, 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

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

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

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

#### 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 120.04 Calculus 2 6 credits

Open: Size: 30, Registered: 18, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*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 210.00 Calculus 3 6 credits

Open: Size: 30, Registered: 8, 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 211.01 Introduction to Multivariable Calculus 6 credits

Open: Size: 30, Registered: 10, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

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

### MATH 211.02 Introduction to Multivariable Calculus 6 credits

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

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

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

#### Requirements Met:

#### Other Tags:

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

### MATH 211.03 Introduction to Multivariable Calculus 6 credits

Open: Size: 30, Registered: 24, 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

Open: Size: 30, Registered: 15, 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: 14, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 236.00 Mathematical Structures 6 credits

Open: Size: 24, Registered: 18, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 232 and either Mathematics 210 or Mathematics 211

### MATH 240.01 Probability 6 credits

Closed: Size: 25, Registered: 29, Waitlist: 0

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

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

#### Requirements Met:

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(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 240.02 Probability 6 credits

Closed: Size: 25, Registered: 32, Waitlist: 0

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

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

#### Requirements Met:

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(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 271.00 Computational Mathematics 6 credits

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

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

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

#### Requirements Met:

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An introduction to mathematical ideas from numerical approximation, scientific computing, and/or data analysis. Topics will be selected from numerical linear algebra, numerical analysis, and optimization. Theory, implementation, and application of computational methods will be emphasized.

*Prerequisite:* Mathematics 232

Not open to students who have already received credit for Mathematics 295 Numerical Analysis

### MATH 321.00 Real Analysis I 6 credits

Open: Size: 28, Registered: 18, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 236 or instructor permission

### MATH 332.00 Advanced Linear Algebra 6 credits

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

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

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

#### Requirements Met:

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*Prerequisite:* Mathematics 236 or instructor permission

### STAT 120.01 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:

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(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 120.02 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 29, Waitlist: 0

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

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

#### 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: 24, Waitlist: 0

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

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

#### 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 220.00 Introduction to Data Science 6 credits

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

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

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

#### Requirements Met:

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(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

Closed: Size: 25, Registered: 29, Waitlist: 0

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

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

#### Requirements Met:

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(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) or Statistics 250 (formerly Mathematics 275), Psychology 200, or AP Statistics Exam score of 4 or 5.

Formerly Mathematics 245

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

Closed: Size: 0, Registered: 9, 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

### STAT 340.00 Bayesian Statistics 6 credits

Closed: Size: 20, Registered: 25, Waitlist: 0

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

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

#### Requirements Met:

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Formerly MATH 315) 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:* Statistics 250 (formerly Mathematics 275)

Fomerly Mathematics 315

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