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Course Criteria
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1.00 - 4.00 Credits
Offered on an experimental or temporary basis to explore topics not included in the established curriculum. A given topic may be offered under any special topic identity no more than three times. Special topics numbered 281 are offered primarily for lower-level undergraduate students.
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3.00 Credits
Topics include set algebra, mappings, relations, semigroups, groups, directed and undirected graphs, Boolean algebra, and propositional logic, with examples and applications of these various areas of computer science. Emphasizes developing an intuitive understanding of basic structures rather than formal theories and influence of these topics on theory and practice of computing.
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3.00 Credits
Introduces the field of data science by covering the methodology in which data-intensive problems are identified, defined, and solved. Investigates data analysis and data mining techniques for finding patterns in data that emphasize using data models, data gathering and storage, selection and preparing of data, model building and testing, and interpreting and validating results. Utilizes hands-on experiences with data science tools and techniques, specific topics include map-reduce and mining data streams. Includes techniques for visualizing patterns in data, including interactive visualization.
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3.00 Credits
Introduces concepts of probability and statistics by exploring and discovering key ideas related to data analysis and making predictions. Appropriate technology is incorporated. Explores curricular materials, resources, and activities relevant to teaching diverse groups at the middle and secondary levels.
Prerequisite:
( MATH 152 or MA 152 )
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3.00 Credits
Studies child-centered, activity-oriented mathematics programs for early childhood education (preK-grade 1). Focuses on helping children develop understanding and insight into basic concepts of mathematics through the use of manipulative materials.
Prerequisite:
( MATH 151 ( MATH 152 or MA 152 ) and ECED 200
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3.00 Credits
Explores materials and methods for teaching mathematics in the elementary grades with emphasis on creative utilization of manipulatives and techniques. Investigates ways of assessing student math knowledge and skills through a student-centered, inquiry approach.
Prerequisite:
( MATH 152 and ECED 280 )
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2.00 Credits
Explores effective classroom methods and strategies for assessing, teaching, and monitoring the mathematical performance of students with learning difficulties. Emphasis on practical classroom techniques designed to facilitate skill acquisition, maintenance, retention, and generalization.
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3.00 Credits
Emphasizes techniques of solution and applications of differential equations. Topics include first order equations, second order linear equations, systems of linear equations, and series solutions of differential equations.Previously Offered As: (Offered as MATH 241 before 2016-17.)
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4.00 Credits
Deals with the application of mathematics to problems of science. Emphasizes the three phases of such an application and the development of skills necessary to carry out each step: (1) translation of the given physical information to a mathematical model; (2) treatment of the model by mathematical methods; (3) interpretation of the mathematical result in physical terms. Topics include vector calculus, integral theorems, Fourier series, partial differential equations, and the Laplace transformation.
Prerequisite:
( MATH 241 or MA 241 ) and ( MATH 122 or MA 122 or MATH 225 )
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3.00 Credits
Algorithmic methods for function evaluation, roots of equations, solutions to systems of linear equations, function interpolation, numerical differentiation, and integration and use of spline functions for curve fitting. The focus is on managing and measuring errors in computation. May also be offered as COSC 343; either MATH 343 or COSC 343 may be substituted for the other and may be used interchangeably for D/F repeats, but may not be counted for duplicate credit.
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