34 courses with the subject MA, 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.
MA 095Pre-Algebra (Math Skills)2
This course helps students to prepare for MA 100 This course is geared both to the individual needing a review of basic skills and those attempting to overcome math anxiety. Topics include operations on whole numbers, fractions, decimals, percents, ratios, proportions, signed numbers, areas of geometric figures, and an introduction to the solution of linear equations.
This course is an introduction to the fundamental concepts and processes of Elementary and Intermediate Algebra, with an emphasis on problem-solving. This course is geared both to the individual needing a review of algebra and those attempting to overcome math anxiety. Topics include operations with signed numbers, solving and graphing equations and inequalities, operations with polynomials, factoring, radicals, exponents, and quadratic equations.
This course is an introduction to basic mathematical ideas and techniques centered on the function concepts. Includes relations and functions in general, algebraic functions, trigonometric functions, exponential and logarithmic functions.
This course is an introduction to mathematical reasoning and problem solving. The course emphasizes writing, individual and group investigations, and the use of relevant technology. Content focuses on number theory, logic, and the concept of infinity.
MA 095 or placement exam. Open to all majors except Mathematics and Computer Science.
MA 118Mathematical Concepts II1098
This course is a continuation of MA 117 . Further development of mathematical reasoning and problem solving. The course emphasizes writing, individual and group investigations, and the use of relevant technology. Content focuses on geometry, probability, and data analysis.
This course is an introduction to basic statistical techniques and their applications to the sciences, social sciences and business administration. It includes the collection and presentation of data, measures of central tendency and variability, probability, sampling distributions, confidence intervals, hypothesis testing, correlation and regression, and introduction to analysis of variance.
This study of linear algebra includes essentials of finite-dimensional vector-spaces, linear transformation, matrix algebra, systems of linear equations, and determinants.
MA 225Writing Mathematics: A Transition to Higher Mathematics1098
This is the Computer Science and Mathematics Department’s research writing (RW) course. Intended for second-semester sophomores, it focuses on helping students gain facility with the two major types of mathematical writing: clear, concise proofs written for other mathematicians; and explanations of mathematics aimed at non-technical audiences. Writing mathematics is not easily separated from the process of doing mathematics, so while writing takes center stage throughout the course, there are a number of important mathematical concepts that also are covered. Exposure to these topics and the ability to express them clearly will serve students well in all future higher-level math coursework. This course is required of transfers in mathematics and actuarial science even if they are exempt from the Research Writing (RW) portion of the Arcadia University Curriculum.
MA 226Writing Mathematics: An Abbreviated Transition to Higher Mathematics2
MA226 is an abbreviated version of MA 225 . It is intended for second-semester sophomores and it focuses on helping students gain facility with the two major types of mathematical writing: clear, concise proofs written for other mathematicians; and explanations of mathematics aimed at nontechnical audiences. Important mathematical concepts are also covered. Main difference with MA 225 : the number of mathematical concepts covered, which is less in MA226. Math majors must take MA 225 .
This introduction to discrete mathematical structures with applications in computer science includes basic set algebra, functions, Boolean algebra, propositional logic, graph theory and trees.
This in-depth examination of statistical concepts includes multiple correlation and regression, analysis of variance, non-parametric statistics, and sampling designs. It provides experience in working with computer packages in statistics.
MA 203 and MA 225 . Also, a 2.0 major GPA is required. However, a 2.20 major GPA is strongly recommended.
MA 315Theory of Computation3
In this introduction to the theoretical basis of computing, topics include: a review of graph theory; network models; grammars, languages and automata; Turing machines; computability.
MA 221 and MA 225 with a grade of at least C-.or permission of the instructor. Also, a 2.0 major GPA is required. However, a 2.20 major GPA is strongly recommended.
MA 330Graph Theory and Combinatorics1098
Graph theory topics include planar graphs, Euler and Hamiltonian circuits, graph coloring, trees, depth-first and breadth-first search, network algorithms. Combinatorial topics include arrangements and selections, generating functions, recurrence relations, pigeon-hole principle, and inclusion-exclusion. This course covers applications to computer science and business and also material of interest to mathematics/ secondary education majors. MA 330 may be used to satisfy the Computer Science MA 230 requirement.
This is a study of combinatorics, discrete and continuous random variables of one and two dimensions, expectations, commonly used probability models, and normal approximation.
This course introduces a series of statistical methods and models for data analysis. Specific topics include linear regression models, statistical learning, cross-validation methods, decision trees and clustering analysis. It partially covers the syllabus of the Society of Actuaries Statistics for Risk Modeling (SRM) exam.
This course is a continuation of MA343. Students will learn additional statistical models and techniques together with their actuarial applications. Topics include generalized linear models, time series models and principal component analysis. This course and its prerequisite together cover the syllabus of the Society of Actuaries Statistics for Risk Modeling (SRM) exam.
This course uses a problem-solving approach to introduce students to the mathematical theory and practice of interest. Much of the class time is spent solving problems similar in scope and level of difficulty to those in the actuarial exam on Financial Mathematics. The course covers: the measurement of interest; equations of value; annuities, yield rates, amortization schedules and sinking funds; bonds and other securities; immunization, interest rate swaps, duration; and recent, practical applications. Topics may change periodically to reflect changes in the syllabus of the Financial Mathematics exam of the Society of Actuaries.
This course uses a problem-solving approach to introduce students to the mathematical theory and practice of interest. Much of the class time is spent solving problems similar in scope and level of difficulty to those in the actuarial exam on Financial Mathematics. The course covers: the measurement of interest; equations of value; annuities, yield rates, amortization schedules and sinking funds; bonds and other securities; immunization, interest rate swaps, duration; and recent, practical applications. Topics may change periodically to reflect changes in the syllabus of the Financial Mathematics exam of the Society of Actuaries.
This course covers the topics tested on the actuarial exam on Short Term Actuarial Mathematics (STAM). Its purpose is to prepare actuarial science majors to pass the STAM actuarial exam. In this course, the student will be introduced to a variety of frequency, severity, and aggregate models that are used for short-term actuarial applications. The student will learn the steps involved in the modeling process and how to apply these steps. A thorough knowledge of calculus, probability, and mathematical statistics is assumed.
The purpose of this course is to develop knowledge of the fundamental tools for assessing risk. The application of these tools to problems encountered in actuarial science is emphasized. A thorough command of calculus and probability topics is assumed. Students learn the basics of risk management and risk theory. Students completing this course will be prepared for Exam P of the Society of Actuaries.
In this individualized study in a selected area, suggested topics include real variables (construction of the real numbers, metric spaces, properties of Riemann and Lebesgue integrals), topology (introduction to the theory of topological spaces), advanced topics in graph theory.
In this course, students will develop their writing, research, and presentation skills, culminating in a substantial research project to satisfy Arcadia University’s Capstone requirement.
Junior or senior standing is required or permission of the Department Chair. Also, a 2.0 major GPA is required, and a 2.2 major GPA is highly recommended.
