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Your search for courses for 21/FA and in CMC 206 found 8 courses.

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CGSC 130.00 What Minds Are What They Do: An Introduction to Cognitive Science 6 credits

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

CMC 206

MTWTHF
10:10am11:55am10:10am11:55am

Requirements Met:

Synonym: 61761

Jason A Decker

An interdisciplinary examination of issues concerning the mind and mental phenomena. The course will draw on work from diverse fields such as artificial intelligence, cognitive psychology, philosophy, linguistics, anthropology, and neuroscience. Topics to be discussed include: the mind-body problem, embodied cognition, perception, representation, reasoning, and learning.

ECON 281.00 International Finance 6 credits

Open: Size: 25, Registered: 13, Waitlist: 0

CMC 206

MTWTHF
1:15pm3:00pm1:15pm3:00pm
Synonym: 61317

Michael T Hemesath

This course studies theories of the multi-faceted interaction between the balance of international payments and foreign exchange market and the general levels of domestic prices, employment and economic activity. Topics include the balance of payments, foreign exchange markets, adjustment mechanisms in international payments, macroeconomic policies for internal and external balance, and international monetary systems.

Prerequisite: Economics 110

MATH 111.03 Introduction to Calculus 6 credits

Open: Size: 30, Registered: 24, Waitlist: 0

CMC 206

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 61564

Kate J Meyer

An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus.

Prerequisite: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101.

MATH 210.00 Calculus 3 6 credits

Open: Size: 30, Registered: 8, Waitlist: 0

CMC 206

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61569

Steve T Scheirer

Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

Prerequisite: Mathematics 120. This course cannot be substituted for Mathematics 211

MATH 240.01 Probability 6 credits

Closed: Size: 25, Registered: 29, Waitlist: 0

CMC 206

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 61581

Owen D Biesel

(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 321.00 Real Analysis I 6 credits

Open: Size: 28, Registered: 18, Waitlist: 0

CMC 206

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61587

Rafe F Jones

A systematic study of concepts basic to calculus, such as topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions.

Prerequisite: Mathematics 236 or instructor permission

MATH 332.00 Advanced Linear Algebra 6 credits

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

CMC 206

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 61588

Mark Krusemeyer

Selected topics beyond the material of Mathematics 232. Topics may include the Cayley-Hamilton theorem, the spectral theorem, factorizations, canonical forms, determinant functions, estimation of eigenvalues, inner product spaces, dual vector spaces, unitary and Hermitian matrices, operators, infinite-dimensional spaces, and various applications.

Prerequisite: Mathematics 236 or instructor permission

STAT 340.00 Bayesian Statistics 6 credits

Closed: Size: 20, Registered: 25, Waitlist: 0

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61454

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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