200
An introduction to descriptive and inferential statistics, with applications in various disciplines using statistical computer software.
Credit Hours: 4
Prerequisites
MAT 155 or higher, or equivalent.
This course is designed to provide students with the fundamental components of differential and integral calculus, with a particular emphasis on those aspects of calculus that have applications to business. The course covers exponential and logarithmic functions, limits, differentiation and differentiation techniques, applications of the derivative (e.g., marginal cost, marginal revenue, rate of growth), anti-derivatives, the integral as an area, functions of several variables, and partial derivatives.
Credit Hours: 4
Prerequisites
MAT 160 or equivalent.
Covers limits, continuity, differentiation, applications of derivatives, integration, and integration by substitution.
Credit Hours: 4
Prerequisites
MAT 170 with a grade of "C" or higher, or equivalent.
Covers integration techniques and applications, parametric and polar curves, sequences and infinite series.
Credit Hours: 4
Prerequisites
MAT 260 with a grade of "C" or higher.
Covers vectors in two and three dimensional space, partial derivatives, multiple integration and vector calculus.
Credit Hours: 4
Prerequisites
MAT 261 with a grade of "C" or higher.
This course is designed for majors in computer science. It covers basic aspects of discrete mathematics that are fundamental to digital computing. Topics include sets and relations, numbers and sequences, mathematical logic, elementary combinatorics, graph theory, and related algorithms.
Credit Hours: 4
Prerequisites
MAT 260 Calculus I
Covers linear equations, matrices and determinants. Vector spaces and linear transformations. Inner products and eigenvalues. Emphasizes computational aspects of linear algebra and applications.
Credit Hours: 4
Prerequisites
MAT 261 or
PHY 205/
PHY 205L or equivalent.
This course provides the basic understanding of descriptive and inferential statistics, with applications in various disciplines. It gives the insight into how a statistician gathers, summarizes, and draws conclusions from real life data. This course covers the basics of statistical testing, regression analysis, experimental design, analysis of variance, and use of statistical software (especially R) to analyze data.
Credit Hours: 4
Prerequisites
MAT 225 or
MAT 260 with a grade of "C" or higher.
This course teaches programming fundamentals, with an emphasis on mathematical applications. Topics include mathematical modeling and the mathematics behind technological advances.
Spartan Studies:
UTAMPA 200
Credit Hours: 4
Prerequisites
MAT 260 with a grade of "C" or higher
Covers proof techniques, basic set theory, relations and partitions, functions and cardinality.
Credit Hours: 4
Prerequisites
MAT 262 with a grade of "C" or higher.