## 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/FA and with Curricular Exploration: FSR found 45 courses.

### CS 111.01 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 31, 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.

**Waitlist for Juniors and Seniors:** CS 111.WL1 (Synonym 64252)

### CS 111.02 Introduction to Computer Science 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:

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 64253)

### CS 111.03 Introduction to Computer Science 6 credits

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

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

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

#### 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 201.01 Data Structures 6 credits

Open: Size: 34, Registered: 23, Waitlist: 0

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

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

#### 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 201.02 Data Structures 6 credits

Open: Size: 34, Registered: 21, 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

Sophomore Priority

**Waitlist for Juniors and Seniors:** CS 201.WL2 (Synonym 64256)

### CS 202.00 Mathematics of Computer Science 6 credits

Closed: Size: 34, Registered: 29, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Computer Science 111 and Mathematics 111 or instructor permission

### CS 251.00 Programming Languages: Design and Implementation 6 credits

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

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

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

#### 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

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

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

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

#### Requirements Met:

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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: 29, Waitlist: 0

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

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

#### 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: 36, 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 311.00 Computer Graphics 6 credits

Closed: Size: 34, Registered: 29, Waitlist: 0

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

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

#### Requirements Met:

Scientific simulations, movies, and video games often incorporate computer-generated images of fictitious worlds. How are these worlds represented inside a computer? How are they “photographed” to produce the images that we see? What performance constraints and design trade-offs come into play? In this course we learn the basic theory and methodology of three-dimensional computer graphics, including both triangle rasterization and ray tracing. Familiarity with vectors, matrices, and the C programming language is recommended but not required.

*Prerequisite:* Computer Science 201

### CS 361.00 Artificial Life and Digital Evolution 6 credits

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

M | T | W | TH | F |
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9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

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The field of artificial life seeks to understand the dynamics of life by separating them from the substrate of DNA. In this course, we will explore how we can implement the dynamics of life in software to test and generate biological hypotheses, with a particular focus on evolution. Topics will include the basic principles of biological evolution, transferring experimental evolution techniques to computational systems, cellular automata, computational modeling, and digital evolution. All students will be expected to complete and present a term research project recreating and extending recent work in the field of artificial life.

*Prerequisite:* Computer Science 201

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

Open: Size: 25, Registered: 21, 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: 19, Waitlist: 0

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

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

#### Requirements Met:

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### LING 217.00 Phonetics and Phonology 6 credits

Open: Size: 25, Registered: 13, Waitlist: 0

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* 100-level Linguistics course

### LING 315.00 Topics in Syntax 6 credits

Open: Size: 25, Registered: 6, Waitlist: 0

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

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

#### Requirements Met:

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*Prerequisite:* Linguistics 216

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

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

#### Requirements Met:

### MATH 101.00 Calculus with Problem Solving 6 credits

Open: Size: 30, Registered: 20, Waitlist: 0

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

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

#### 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, Tuesday and Thursday TA group meetings required

### MATH 111.01 Introduction to Calculus 6 credits

Closed: Size: 30, Registered: 31, 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

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

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

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

#### 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

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

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

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

#### 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: 28, 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: 17, 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: 12, Waitlist: 0

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

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

#### 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: 29, Waitlist: 0

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

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

#### 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 211.01 Introduction to Multivariable Calculus 6 credits

Open: Size: 30, Registered: 16, Waitlist: 0

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

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

#### 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

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:

*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: 20, Waitlist: 0

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

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

#### 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: 26, Waitlist: 0

M | T | W | TH | F |
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9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

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Caroline L Turnage-Butterbaugh

Linear algebra centers on the study of highly structured functions called linear transformations. Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear transformations are everywhere, once we know what to look for. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. In fact, differentiation is also a linear transformation that takes one function to another. The course focuses on developing geometric intuition as well as computational matrix methods. Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues.

*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 232.02 Linear Algebra 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:

Linear algebra centers on the study of highly structured functions called linear transformations. Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear transformations are everywhere, once we know what to look for. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. In fact, differentiation is also a linear transformation that takes one function to another. The course focuses on developing geometric intuition as well as computational matrix methods. Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues.

*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 236.00 Mathematical Structures 6 credits

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

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

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

#### Requirements Met:

#### Other Tags:

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

### MATH 240.01 Probability 6 credits

Open: Size: 30, Registered: 20, Waitlist: 0

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

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

#### Requirements Met:

(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

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

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

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

#### Requirements Met:

(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 241.00 Ordinary Differential Equations 6 credits

Open: Size: 30, Registered: 20, 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 282.00 Elementary Theory of Numbers 6 credits

Open: Size: 25, Registered: 21, Waitlist: 0

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

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

#### Requirements Met:

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Caroline L Turnage-Butterbaugh

A first course in number number theory, covering properties of the integers*.* Topics include the Euclidean algorithm, prime factorization, Diophantine equations, congruences, divisibility, Euler’s phi function and other multiplicative functions, primitive roots, and quadratic reciprocity. Along the way we will encounter and explore several famous unsolved problems in number theory. If time permits, we may discuss further topics, including integers as sums of squares, continued fractions, distribution of primes, Mersenne primes, the RSA cryptosystem.

*Prerequisite:* Mathematics 236 or instructor permission

Formerly Math 312

### MATH 342.00 Abstract Algebra I 6 credits

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

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

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

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 236 or instructor permission

### MATH 344.00 Differential Geometry 6 credits

Open: Size: 25, Registered: 9, Waitlist: 0

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

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

#### Requirements Met:

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*Prerequisite:* Mathematics 236 or permission of the instructor.

### MATH 395.00 Geometric Group Theory 6 credits

Open: Size: 15, Registered: 7, Waitlist: 0

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

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

#### Requirements Met:

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Geometric group theory is the study of (infinite) groups using geometric tools. The underlying principle of geometric group theory is that if a group G acts "nicely" on a space, then information about that space tells us information about the group. This class will introduce tools from topology, graph theory, and geometry and use them to study groups. Topics will include groups acting on trees and (more generally) hyperbolic groups. This course counts toward the Algebra area of the math major.

*Prerequisite:* Mathematics 342 or instructor consent

### STAT 120.01 Introduction to Statistics 6 credits

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

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

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

#### 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: 32, Waitlist: 0

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

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

#### 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: 30, 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 220.00 Introduction to Data Science 6 credits

Open: Size: 30, Registered: 16, Waitlist: 0

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

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

#### 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

Open: Size: 28, Registered: 25, Waitlist: 0

M | T | W | TH | F |
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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), 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: 12, 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

Open: Size: 20, Registered: 18, Waitlist: 0

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

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

#### 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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