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Course Criteria
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3.00 Credits
Prerequisites: Math 327 or equivalent. This course will review differentiation and integration. Solutions and methods for solving first and second order ordinary differential equation will be discussed and applied.
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3.00 Credits
A study of the methods of summarizing and interpreting data, elementaryprobability, and its relation to distributions. The meanings, importance, and application of the normal and binomial distributions and the methods of random sampling, testing of hypotheses, analysis of paired data, and interpretation of standardized test scores are covered. Students work on independent research projects to gain firsthand experience with the issuesof the course.
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3.00 Credits
Prerequisite: Math 225 or equivalent. This course covers a variety of mathematical topics ranging from graphs and networks to linear programming. The emphasis of the course is on modeling process used to set up and solve problems in these topic areas. Strengths and limitations of the mathematical modeling technique will be discussed. Analysis and critique of traditional word problems will also bediscussed.
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3.00 Credits
Prerequisite: Math 230. This course presents systems of linear equations, determinants, vector spaces, inner product spaces, linear transformations, eigenvalues and eigenvectors with moderate emphasis on proof. Applications of these concepts are also covered.
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3.00 Credits
Prerequisite: Math 230 and Math 226. This course provides a theoretical foundation for the concepts of elementary calculus. Topics include real number system, topology of the real line,limits, continuity, differentiation, integration, convergence and uniform convergence of infinite series, and improper integrals.
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3.00 Credits
Prerequisites: Math 113 or Math 120, and Math 230. A study of some of the mathematical concepts useful to the computer boolean algebra, logic circuits, vectors, matrices, determinants, graphs, directed graphs, finite machines, and automata.
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3.00 Credits
Prerequisite: Math 340. This course continues the study of methods of summarizing and interpreting data, with special emphasis on nonnormally distributed statistics, hypotheses testing, multivariate analysis and nonlinear analysis of data.
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3.00 Credits
Prerequisite: Math 340 This course is designed to give the biological research student a basic knowledge of statistical techniques. Emphasis in this course is on application rather than statistical theory. Topics will include one and two factor analysis of variation, testing for goodnessof fit, and introductions to experimental design and multivariable regression.
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1.00 Credits
Prerequisite: Senior Standing in Mathematics, Permission. This course consists of a review of current research trends in mathematics. Each student will review current literature and select and pursue a topic of individual study. Mathematics faculty will mentor and grade the participants in the course. This course is to be taken during the student's last year of study at Peru State College. This course is the capstone courseand senior competency for the Mathematics major.
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1.00 - 4.00 Credits
Prerequisite: Senior standing? prior approval of Instructor and Dean of theSchool of Arts and Sciences.
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