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Course Criteria
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3.00 Credits
A topic of current interest in mathematics will be taught. Topics will vary depending on faculty interest. Spring, even academic years.
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2.00 Credits
This course is the first foundational course in the mathematics content area for elementary education majors. It includes problem solving, sets, functions, exploration of our number system including properties, place value, basic operations and algorithms, basic concepts of algebra, probability, statistics, measurement, coordinate geometry, graphs, 2- and 3-dimensional geometry. Problem solving is stressed in each unit. The NCTM Principles and Standards and Indiana's Academic Standards for Mathematics are introduced. Prerequisite: LA 103. Taken concurrently with EFE 384, EDE 344, EDE 365, and SCI 334. Additional prerequisite: 2.50 GPA (A = 4.0) and admission to the teacher education program. Fall, junior year.
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2.00 Credits
This course is the second foundational course in the mathematics content area for elementary education majors. It includes problem solving, sets, functions, exploration of our number system including properties, place value, basic operations and algorithms, basic concepts of algebra, probability, statistics, measurement, coordinate geometry, graphs, 2- and 3-dimensional geometry. Problem solving is stressed in each unit. The NCTM Principles and Standards and Indiana's Academic Standards for Mathematics are introduced. Prerequisite: MAT 323. Taken concurrently with EFE 385, EDE 345, EDE 366, and SCI 335. Additional prerequisite: 2.50 GPA and admission to the teacher education program. Spring, junior year.
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3.00 Credits
The course will cover discrete and continuous probability distributions along with their expectations and moment-generating functions. Sampling theory, estimation, hypothesis testing, regression and correlation, analysis of variance, and nonparametric tests. Includes emphasis on practical application of the theory and incorporation of technology. Prerequisite: MAT 182 and CMP 150. Corequisite: MAT 253 or consent of instructor. Fall, odd academic years.
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3.00 Credits
Probability theory for students wanting a mathematical development of this topic. Set theory and combinatorial analysis are used as a basis for study of fundamental probability concepts. Emphasis on probability distributions of both discrete and continuous random variables, including mathematical expectation and moment-generating functions. Incorporates use of computer software. Prerequisite: MAT 253 or consent of instructor. Spring, even academic years.
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3.00 Credits
Sampling theory, estimation, hypothesis testing, regression and correlation, analysis of variance, and nonparametric tests. Includes emphasis on practical application of the theory and incorporation of technology. Prerequisite: MAT 343. Fall, odd academic years.
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3.00 Credits
Each student will work as part of a team to complete a statistical consulting project for a local non-profit agency or other appropriate organization. Special emphasis will be given to the development of skills in project management and consulting. Projects will be chosen to require the use of important statistical concepts such as experimental design, survey design, or regression analysis. Recommended especially for majors in the social sciences who are intending to go to graduate school or for those aiming for careers involving statistical applications. Same as ECO/PSY/SOC 345. Students may receive credit in only one of these cross-referenced courses. Prerequisites: MAT/PSY 224, MAT 344, OR BUS 265. Spring, odd academic years.
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3.00 Credits
Intended for both mathematics and computing majors. Topics covered include generating functions, recurrence relations, topics in graph theory, order relations and structures, Boolean algebras, trees, and finite-state machines. Prerequisite: MAT 142 or consent of instructor. Fall, odd academic years.
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3.00 Credits
This course serves as an introduction to the formulation, analysis, and interpretation of mathematical models in the study of problems in the natural, management, and social sciences. Topics will include optimization models, dynamic models, and probability models. Prerequisites: MAT 233 or consent of instructor. Fall, even academic years.
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4.00 Credits
Overview of the concepts and applications of algebraic structures. Major topics include basic number theory and modular arithmetic; groups, subgroups and cyclic groups; permutations and dihedral groups; isomorphisms and homomorphisms; product and factor groups; rings, integral domains, and fields; ideals and factor rings; and rings of polynomials and polynomial factorization. Incorporates use of computer software and discussion of applications to cryptography and other areas. Prerequisite: MAT 240 or consent of instructor. Fall, odd academic years.
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