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Course Criteria
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3.00 Credits
Analytic functions, derivatives, power and Laurent series, integrals, residues, conformal mapping, applications to partial differential equations. Prerequisite: MATH 253 and (234 or 264). Offered in the fall semester of even numbered years.
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3.00 Credits
(Also offered as IDS 340.) A study of statistical concepts and methods to facilitate decision making. Content includes analysis of variance, simple and multiple regression, correlation, time-series analysis, and nonparametric methods. Prerequisite: one of IDS 205, MATH 140, MATH 240, PSY 201, CE 202 or completion of or concurrent enrollment in ECE 365. Not open to students who have completed IDS 340.
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4.00 Credits
A course in probability with some topics applicable to statistics. Topics include probability spaces, random variables, classical discrete and continuous probability distributions, multivariate probability distributions with an introduction to multivariable calculus, joint and conditional distributions. Prerequisite: MATH 132.
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3.00 Credits
This course in mathematical statistics is based on the background of MATH 341. Topics include Central Limit Theorum, covariance, moments, estimation, tests of hypotheses, and sampling theory. Prerequisite: MATH 341.
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3.00 Credits
This course studies statistical modeling and forecasting of time series, which are observations made sequentially through time. Applications of time series discussed are selected from finance, economics, health sciences, meteorology, and many other fields. Periodic computer lab sessions with the software R. Prerequisite: MATH 340 or ECON 325.
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3.00 Credits
A survey of probabilistic models used in decision theory. Topics include stochastic processes, queuing theory, forecasting, Bayesian decision theory, reliability, and simulation. Prerequisite: one of MATH 240, IDS 205, CE 202, or ECE 365.
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3.00 Credits
Analysis and implementation of numerical techniques such as polynomial interpolations, root finding, matrix solutions to systems of equations, numerical solutions to differential equations (the finite difference method), and numerical integration, with an emphasis on theory and error analysis. Prerequisites: MATH 264 or MATH 234. Offered in the spring semester of even numbered years.
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3.00 Credits
A study of the role of computation and experimentation in mathematical proof. Students will learn to write code in a mathematical programming language (e.g. Maple), and then apply programming skills to a variety of mathematical problems. Topics include enumeration, continued fractions, high precision computing, and numerical integration, among others. Students will also study famous proofs that integrate computation in nontrivial ways and the current state of automated theorem proving/ automated proof checking software. Normally offered spring of odd-numbered years. Prerequisites: MATH 264.
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1.00 - 2.00 Credits
The application of mathematical concepts in a professional setting. Grade based on employer’s evaluation and student’s written and oral reports. May be repeated for additional credit. Prerequisite: MATH 265 or approval of the Chair of the Department. S/U grade.
Prerequisite:
MATH-265
Corequisite:
AAA-990
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0.00 Credits
Students are required to attend sessions of MATH 499, participate in the activities and discussions of the colloquium, complete a cocurricular activity, and prepare for their MATH 499 presentation. S/U grade.
Prerequisite:
MATH-299
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