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Your search for courses for 23/SP and with code: MATHAPPLIED found 3 courses.

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MATH 241.00 Ordinary Differential Equations 6 credits

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

CMC 206

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 64935

Rob C Thompson

An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis.

Prerequisite: Mathematics 232 or instructor permission

MATH 341.00 Partial Differential Equations 6 credits

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

CMC 209

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 64937

Joseph D Johnson

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

STAT 250.00 Introduction to Statistical Inference 6 credits

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

CMC 210

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 65287

Andy N Poppick

(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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You must take 6 credits of each of these.
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You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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