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Course Criteria
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3.00 Credits
Essential mathematical background needed in calculus. It includes topics such as: functions, graphs, analytic geometry, polynomials, exponential and logarithmic functions, trigonometry, triangles, complex numbers and systems of equations. Fall.
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3.00 Credits
A unified treatment of basic concepts of set theory, logic, probability, statistics, matrix algebra, and linear programming. Fall, Spring, Summer.
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3.00 Credits
An intuitive approach to the fundamental notions of the derivative and integral of algebraic, exponential, and logarithmic functions; applications of basic techniques. Prerequisite: Math 110 or satisfactory performance on calculus placement exam. Spring.
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3.00 Credits
Introduction to differentiation and integration of functions of one real variable, applications to related disciplines; topics of analytic geometry introduced as needed. Prerequisite: Math 110 or satisfactory performance on calculus placement exam. Fall.
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3.00 Credits
Differentiation and integration of transcendental functions; techniques of integration. Prerequisite: Mathematics 121. Spring.
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3.00 Credits
The study of finite systems in mathematics with an emphasis on applications in computer science. Topics include: set theory, relations, functions, matrices, graph theory, combinatorial analysis, algebraic systems, partially ordered sets/lattices, propositional calculus, and Boolean algebras. Fall 2005, Spring 2007.
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0.00 Credits
Sessions will cover a variety of student centered topics from student life, undergraduate research opportunities and presentations, graduate professional school entrance exams, career planning and preparation. Fall.
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3.00 Credits
Measurement, Euclid's geometry, congruence, area, volumes, similarity, rigid motions and symmetry, geometric patterns in nature and art, introduction into other geometries. For elementary and middle school education majors. Prerequisite: MATH 105 and MATH 106
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3.00 Credits
Calculus-based treatment of descriptive statistics. Probability Theory: Random variables, discrete and continuous Probability Distributions. The central limit theorems and its application to the normal approximation of discrete distributions. Point estimation, Interval estimation, Hypothesis testing. Regression Analysis, and Analysis of variance (ANOVA). Use of statistical software such as Minitab, Matlab or R.
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3.00 Credits
Advanced techniques of integration; introduction to sequences and series. Prerequisite: Mathematics 122. Fall.
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