## ENROLL Course Search

Your search for courses for 22/SP and with Curricular Exploration: FSR found 39 courses.

### CS 111.01 Introduction to Computer Science 6 credits

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

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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

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

M | T | W | TH | F |
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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 60515)

### CS 111.03 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 15, Waitlist: 0

M | T | W | TH | F |
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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.

Sophomore Priority

**Waitlist for Juniors and Seniors:** CS 111.WL3 (Synonym 60514)

### CS 201.01 Data Structures 6 credits

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

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

#### 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 60518)

### CS 201.02 Data Structures 6 credits

Open: Size: 34, Registered: 21, 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

### CS 202.00 Mathematics of Computer Science 6 credits

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

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

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

### CS 208.00 Introduction to Computer Systems 6 credits

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

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

#### 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: 34, Waitlist: 0

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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

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

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

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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: 35, Waitlist: 0

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

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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: 32, Waitlist: 0

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

#### Requirements Met:

*Prerequisite:* Computer Science 201 or instructor permission

### CS 338.00 Computer Security 6 credits

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

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

#### Requirements Met:

When hackers can disable gas pipelines, national hospital systems, and electrical grids, and data brokers can create a largely unregulated world-wide surveillance system, there's a clear need for people who understand the mechanisms of computer security and insecurity. Towards that end, in this course we will study technical and social aspects of computer and network security. Topics will include threat modeling, cryptography, secure network protocols, web security, ethical hacking and penetration testing, authentication, authorization, historical hacking incidents, usability, privacy, and security-related law.

*Prerequisite:* Computer Science 201

### CS 344.00 Human-Computer Interaction 6 credits

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

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

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*Prerequisite:* Computer Science 201 or instructor permission

### CS 352.00 Advanced Algorithms 6 credits

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

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

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*Prerequisite:* Computer Science 252 or instructor permission

### LING 110.00 Introduction to Linguistics 6 credits

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

M | T | W | TH | F |
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10:10am11:55am | 10:10am11:55am |

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Sophomore Priority

**Waitlist for Juniors and Seniors:** LING 110.WL0 (Synonym 62166)

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

Closed: Size: 20, Registered: 21, Waitlist: 0

M | T | W | TH | F |
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3:10pm4:55pm | 3:10pm4:55pm |

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Sophomore Priority

**Waitlist for Juniors and Seniors:** LING 115.WL0 (Synonym 62168)

### LING 316.00 Topics in Morphology 6 credits

Open: Size: 15, Registered: 12, Waitlist: 0

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

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This course explores how languages form words and how contemporary theories account for this complicated process. We concentrate primarily on the interaction between morphology and syntax, but we may also explore the relationship between morphology and phonology. While we will investigate a wide variety of languages, no familiarity with any language other than English is required.

*Prerequisite:* Linguistics 216

### MATH 120.00 Calculus 2 6 credits

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

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

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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

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

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

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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 232.01 Linear Algebra 6 credits

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

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

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*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 232.02 Linear Algebra 6 credits

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

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

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*Prerequisite:* Mathematics 120 or Mathematics 211

### MATH 236.01 Mathematical Structures 6 credits

Closed: Size: 25, Registered: 23, Waitlist: 0

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

#### Requirements Met:

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

Sophomore Priority

**Waitlist for Juniors and Seniors:** MATH 236.WL1 (Synonym 61642)

### MATH 236.02 Mathematical Structures 6 credits

Open: Size: 25, Registered: 22, Waitlist: 0

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

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

### MATH 241.00 Ordinary Differential Equations 6 credits

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

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

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*Prerequisite:* Mathematics 232 or instructor permission

### MATH 244.00 Geometries 6 credits

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

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

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*Prerequisite:* Mathematics 236

### MATH 295.00 Mathematics of Climate 6 credits

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

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

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An introduction to mathematical methods for studying planetary climate. The focus will be on low-dimensional models, whose simplicity allows insight into fundamental mechanisms of climate change. We will use tools from algebra, geometry, and calculus to study topics including energy balance, greenhouse gas forcing, and ice-albedo feedback. This course will count towards the Applied Math area of the math major.

*Prerequisite:* Mathematics 120 or 211

Sophomore Priority

**Waitlist for Juniors and Seniors:** MATH 295.WL0 (Synonym 61657)

### MATH 321.00 Real Analysis I 6 credits

Open: Size: 20, Registered: 15, Waitlist: 0

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

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*Prerequisite:* Mathematics 236 or instructor permission

### MATH 341.00 Partial Differential Equations 6 credits

Closed: Size: 25, Registered: 26, Waitlist: 0

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

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An introduction to partial differential equations with emphasis on the heat equation, wave equation, and Laplace's equation. Topics include the method of characteristics, separation of variables, Fourier series, Fourier transforms and existence/uniqueness of solutions.

*Prerequisite:* Mathematics 241

### MATH 352.00 Topics in Abstract Algebra 6 credits

Open: Size: 15, Registered: 13, Waitlist: 0

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

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*Prerequisite:* Mathematics 342

This course can be repeated

### MATH 361.00 Complex Analysis 6 credits

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

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

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The theoretical foundations for the calculus of functions of a complex variable.

*Prerequisite:* Mathematics 321 or instructor permission. Students who have already received credit for Mathematics 261 may only take this course with instructor permission

### STAT 120.01 Introduction to Statistics 6 credits

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

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

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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).

Sophomore priority

**Waitlist for Juniors and Seniors:** STAT 120.WL1 (Synonym 61578)

### STAT 120.02 Introduction to Statistics 6 credits

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

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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).

Sophomore priority

**Waitlist for Juniors and Seniors:** STAT 120.WL2 (Synonym 61579)

### STAT 120.03 Introduction to Statistics 6 credits

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

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

#### 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 120.04 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 33, Waitlist: 0

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

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*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

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

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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: 23, Waitlist: 0

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

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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.

Sophomore priority

**Waitlist for Juniors and Seniors:** STAT 230.WL0 (Synonym 61580)

### STAT 250.00 Introduction to Statistical Inference 6 credits

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

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12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:20pm |

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

Closed: Size: 0, Registered: 11, Waitlist: 0

M | T | W | TH | F |
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10:10am11:55am |

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#### 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 320.00 Time Series Analysis 6 credits

Closed: Size: 20, Registered: 22, Waitlist: 0

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

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(Formerly MATH 315) Models and methods for characterizing dependence in data that are ordered in time. Emphasis on univariate, quantitative data observed over evenly spaced intervals. Topics include perspectives from both the time domain (e.g., autoregressive and moving average models, and their extensions) and the frequency domain (e.g., periodogram smoothing and parametric models for the spectral density).

*Prerequisite:* Statistics 230 and 250 (formerly Mathematics 245 and 275). Exposure to matrix algebra may be helpful but is not required

Formerly Mathematics 315

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