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Your search for courses for 22/WI and with code: MATHAPPLIED found 4 courses.
MATH 240.00 Probability 6 credits
Open: Size: 30, Registered: 22, Waitlist: 0
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| 12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |
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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 241.01 Ordinary Differential Equations 6 credits
Closed: Size: 25, Registered: 25, Waitlist: 0
| M | T | W | TH | F |
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| 9:50am11:00am | 9:50am11:00am | 9:40am10:40am |
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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 |
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| 11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |
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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 |
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(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
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