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Your search for courses for 22/FA and with code: MATHAPPLIED found 4 courses.

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MATH 240.01 Probability 6 credits

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

CMC 301

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 64894

Katie R St. Clair

(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

CMC 301

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 64895

Katie R St. Clair

(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

CMC 209

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 64905

Kate J Meyer

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

STAT 340.00 Bayesian Statistics 6 credits

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

CMC 319

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 65250

Adam Loy

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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Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests