## 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 in CMC 210 found 5 courses.

### ECON 280.00 International Trade 6 credits

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

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

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

#### Requirements Met:

*Prerequisite:* Economics 111

### 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 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

### 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

### 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)

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