Course Search Results

  • 4.00 Credits

    This course is an introduction to advanced algebraic techniques, functions and graphs which are essential in order to understand and use higher level mathematics in courses beginning with calculus. Topics include conic sections, rational, exponential, logarithmic, and trigonometric functions.
  • 3.00 Credits

    This course is designed for students who need an elementary knowledge of statistics. The basic ideas of descriptive statistical methods are considered, including frequency distribution, measures of location and variation. It also includes permutation, combination and rules of probability, together with well-known probability distributions such as binomial, poisson, geometric, hyper geometric and multinomial.
  • 3.00 Credits

    This course will teach the foundations of data science and data-driven research. It is designed to serve as an optional elective course for mathematics majors, minors, and other STEM, business, and social science majors who are interested in pursuing data-driven careers or graduate study programs. Students will acquire basic computational skills, basic knowledge of statistical analysis, error analysis, and the basics of machine learning. Students will also be familiarized with good practices for handling small and big data. After this class, students should be able to formulate a question, identify appropriate data to answer the question, prepare and analyze the data, extract knowledge and insights, make decisions and identify the confidence level of decisions. This course will be organized in a modular fashion, with labs and projects assigned to students for group work.
  • 3.00 Credits

    This course is designed for students in the Social Sciences. The goal of the course is to give the student a working knowledge of the areas of mathematics that are most applicable to his or her particular discipline. Among the topics studied will be elementary matrix algebra, linear programming, logarithms, progressions, and the mathematics of finance.
  • 4.00 Credits

    This course studies differential and integral calculus with a focus on its applications to business and economics. Topics to be covered are increments and rates, limits, the derivative, rules of differentiation, logarithmic differentiation, methods of integration, and applications of the definite integral to business and economics.
  • 4.00 Credits

    This is the first course in the calculus sequence designed for students intending to major in mathematics, natural sciences, and engineering. The topics covered will include: the straight line, functions, plane analytic geometry, limits, continuity, derivatives of algebraic and trigonometric functions, with applications to velocity, rates, extreme curve plotting and optimization, differentials, Roll146s theorem, mean-value theorem, and integration.
  • 4.00 Credits

    This is the second semester course in the calculus sequence designed for students intending to major in mathematics, natural sciences, and engineering. The topics covered will include the applications of integration of algebraic and trigonometric functions, differentiation and integration of logarithmic and exponential functions, integration techniques, length of a curve, areas of surfaces, inverse trigonometric and hyperbolic functions, improper integrals, L'Hopital's rule, and infinite series.
  • 3.00 Credits

    This course is designed for prospective high school teachers of mathematics. After a quick review of introductory topics in Euclidean geometry, the course will cover advanced topics in Euclidean geometry, and basic topics in non-Euclidean geometry.
  • 3.00 Credits

    This course is an introduction to the development and study of mathematical models. It is designed in such a way that students from other disciplines will find it useful as a summary of modern mathematical methods, and mathematics majors will benefit from applications of mathematics to real life problems. Undergraduate students from the Natural and Social Sciences will find most of the material accessible because the prerequisite is basic calculus.
  • 3.00 Credits

    This course is designed as an elementary introduction to the discrete mathematical structures of computer science. Topics include sets, logic, Boolean algebra, combinatorics, graphs, trees, semigroups, groups, and examples of automata.