23 courses with the subject MAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MAT 1029Applied Mathematical Reasoning3
This course is designed to help students develop mathematical reasoning and problem-solving skills that will serve them well throughout their life. Emphasis will be placed on business concepts and case studies that require mathematical solutions. The focus will be on giving students the ability to solve realistic practical problems.
FALL and SPRING Mathematics Survey course offers a broad overview of mathematical concepts for students in non-technical fields. Topics may include logic, set theory, number systems, geometry, probability, statistics, and basic algebra. The course emphasizes critical thinking, problem-solving, personal finance, and real-world applications of math in everyday life.
FALL and SPRING College Algebra course covers fundamental algebraic concepts needed for higher-level math. Topics include linear, quadratic, polynomial, rational, exponential, and logarithmic functions, as well as systems of equations and inequalities. Emphasis is placed on problem-solving, graphing, and real-world applications.
FALL and SPRING This course prepares students for calculus by strengthening their understanding of algebra, geometry, and trigonometry. Topics include functions (polynomial, rational, exponential, logarithmic), graph and transformation of functions, conic sections, sequences and series, and trigonometric identities and equations. The course emphasizes problem-solving, mathematical modeling, and analyze real-world problem solving.
This course covers concepts that are foundational for calculus. Topics include trigonometry, analytic geometry, probability, vectors, sequences and series. Students will also be introduced to the topic of limits.
The basic concepts and techniques of statistical inference are introduced. Topics include frequency distribution, central tendency, probability, standardized distributions, and hypothesis testing.
FALL The basic concepts and techniques of descriptive statistics are introduced. Topics include graphical descriptions of data, numerical descriptions of data, probability, standardized distributions, central tendency and confidence intervals. May not be taken in addition to
FALL and SPRING Applied Statistics course focuses on the practical use of statistical methods in real-world contexts. Topics include data collection, descriptive statistics, probability distributions, confidence intervals, hypothesis testing, correlation, regression, and analysis of variance (ANOVA). Students use statistical software and tools to analyze data and make informed decisions across various fields.
FALL and SPRING Trigonometry course focuses on the study of angles, triangles, and trigonometric functions. Topics include right and oblique triangles, unit circle, graphs of trig functions, identities, and inverse functions. Students apply concepts to solve real-world problems.
FALL and SPRING Calculus I course covers the fundamentals of limits, derivatives, and integrals of functions of one variable. Key topics include limits and continuity, differentiation rules, applications of derivatives (such as optimization, motion, related rates), and basic integration. The course emphasizes analytical thinking and real-world problem-solving.
Arranged by Department Modern Geometry course examines the foundations and development of geometry from a modern perspective. Topics include Euclidean and non-Euclidean geometries, axiomatic systems, transformations, symmetry, tessellations, and geometric constructions. Emphasis is placed on logical reasoning, proof, and the connections between geometry and other areas of mathematics.
Arranged by Department Discrete Mathematics course introduces fundamental concepts essential for computer science and mathematics. Topics include logic, set theory, combinatorics, graph theory, algorithms, and relations. The course emphasizes problem-solving, mathematical reasoning, and applications in computing and discrete systems.
Arranged by Department Linear Algebra course covers the theory and applications of vector spaces and linear transformations. Topics include systems of linear equations, matrices, determinants, vector spaces, eigenvalues, and eigenvectors. The course emphasizes abstract reasoning and practical problem-solving in mathematics, engineering, and science.
Arranged by Department This course explores the historical development of mathematical ideas and their impact on society. Topics include the origins of number systems, contributions from ancient civilizations, the evolution of algebra, geometry, calculus, and modern mathematical theories. Students examine how mathematics has shaped culture, science, and technology throughout history.
Arranged by Department Multivariable Calculus course extends calculus concepts to functions of several variables. Topics include partial derivatives, multiple integrals, vector calculus, gradient, divergence, curl, and applications to optimization and physics. The course emphasizes analytical techniques and real-world problem solving in higher dimensions.
Arranged by Department Topics in Math course explores selected areas of mathematics based on current interests and academic goals. The course will involve critical thinking and application of mathematical concepts to diverse problems.
