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MATH 6030: Intro to Statistical Theory
3.00 Credits
Clemson University
Principal topics include sampling distributions, point and interval estimation, maximum likelihood estimators, method of moments, least squares estimators, tests of hypotheses, likelihood ratio methods, regression and correlation analysis, introduction to analysis of variance. Students are expected to have completed a Theory of Probability course before enrolling in this course.
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MATH 6030 - Intro to Statistical Theory
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MATH 6060: Sampling Theory and Methods
3.00 Credits
Clemson University
Probability-based treatment of sampling methodology. Theory and application of estimation techniques are treated using simple and stratified random sampling, cluster sampling, and systematic sampling. Students are expected to have completed a Statistical Methods course and a Theory of Probability course before enrolling in this course.
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MATH 6060 - Sampling Theory and Methods
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MATH 6070: Regress & Time-Series Analysis
3.00 Credits
Clemson University
Theory and application of the regression and time series. Approaches to empirical model building and data analysis are treated. Computation and interpretation of results are facilitated through the use of interactive statistical packages. Students are expected to have completed a Linear Algebra course, a Theory of Probability course, and a Statistics course before enrolling in this course.
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MATH 6070 - Regress & Time-Series Analysis
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MATH 6080: Secondary Math Analysis
3.00 Credits
Clemson University
In-depth exploration and analysis of important underlying ideas in the secondary mathematics curriculum. An emphasis is placed on reasoning and proof as students investigate topics in algebra, geometry, probability, statistics and calculus. Students are expected to have completed a Multivariable Calculus course before enrolling in this course.
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MATH 6080 - Secondary Math Analysis
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MATH 6090: Design Experiment Science Engr
3.00 Credits
Clemson University
A thorough treatment on the design and analysis of experiments. Topics include randomization and blocking, one- and higher-way ANOVA, Latin squares, full and fractional factorial designs, and orthogonal arrays. Students are expected to have completed a calculus-based statistics course and a course in linear algebra before enrolling in this course.
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MATH 6090 - Design Experiment Science Engr
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MATH 6110: Introduction to Combinatorics
3.00 Credits
Clemson University
Introductory course in combinatorial analysis. Topics include enumeration, graph theory, posets, and extremal combinatorics. Students are expected to have completed a Linear Algebra course and either a Discrete Mathematics course or an Introduction to Proofs course before enrolling in this course.
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MATH 6110 - Introduction to Combinatorics
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MATH 6120: Algebra I
3.00 Credits
Clemson University
Provides a first introduction to algebra with topics including modular arithmetic, ring theory and group theory. Students are expected to have completed a Linear Algebra course before enrolling in this course.
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MATH 6120 - Algebra I
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MATH 6130: Algebra II
3.00 Credits
Clemson University
A continuation of MATH 6120. Topics may include advanced group theory (including Sylow theorems, some classications of groups); advanced ring theory; field theory; and Galois theory. Preq: MATH 6120.
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MATH 6130 - Algebra II
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MATH 6190: Discrete Math Structures I
3.00 Credits
Clemson University
Applies theoretical concepts of sets, functions, binary relations, graphs, Boolean algebras, propositional logic, semigroups, groups, homomorphisms, and permutation groups to computer characteristics and design, words over a finite alphabet and concatenation, binary group codes, and other communication or computer problems. Students are expected to have completed a Linear Algebra course before enrolling in this course.
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MATH 6190 - Discrete Math Structures I
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MATH 6340: Adv Engineering Mathematics
3.00 Credits
Clemson University
Fourier series, Laplace and Fourier transform, and numerical methods for solving initial value and boundary-value problems in partial differential equations are developed. Applications to diffusion wave and Dirichelet problems are given. Matrix methods and special functions are utilized. Students are expected to have completed a Differential Equations course before enrolling in this course.
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MATH 6340 - Adv Engineering Mathematics
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