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Your search for courses for 22/WI and in CMC 210 found 5 courses.

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ECON 280.00 International Trade 6 credits

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

CMC 210

Synonym: 61342

Prathi Seneviratne

A study of international trade theories and their policy implications. Classical and neo-classical trade models, the gains from trade, the terms of trade and the distribution of income, world trade patterns, international factor movements, tariffs, and the impact of commercial policy on developing and developed countries are analyzed.

Prerequisite: Economics 111

MATH 232.02 Linear Algebra 6 credits

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

CMC 210

Synonym: 61611

Rafe F Jones

Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues.

Prerequisite: Mathematics 120 or Mathematics 211

MATH 240.00 Probability 6 credits

Open: Size: 30, Registered: 22, Waitlist: 0

CMC 210

Synonym: 61656

Laura M Chihara

(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

CMC 210

Synonym: 61613

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 250.00 Introduction to Statistical Inference 6 credits

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

CMC 210

Synonym: 61464

Adam Loy

(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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