Department of Mathematics

West Chester University

Mathematics Information
Office: Room 101
25 University Avenue
West Chester, PA 19383
Phone (610) 436-2440
Fax (610) 738-0578
Email: Department Chair


Learning Outcomes - Department of Mathematics

B. A. Mathematics

Calculus. Students will demonstrate understanding of the fundamental concepts of differential and integral calculus.

Mathematical Modeling. Students will set up and solve optimization and prediction problems arising in science, engineering, and business applications.

Linear Algebra. Students will demonstrate a firm grasp of the major concepts of linear algebra.

Abstract Algebra. Students will demonstrate understanding of the major concepts of abstract algebra.

Information Literacy. Students will demonstrate the ability to locate and evaluate sources of information relevant to the solution of a given mathematical problem.

B. S. Applied Mathematics

Mathematical Concepts. Students will demonstrate understanding of and the ability to apply mathematical concepts in the areas of calculus, linear algebra, differential equations, statistics, and numerical analysis.

Applications and Modeling. Students will apply methods from the mathematical sciences to model real world problems.

Technology. Students will use computer software to solve mathematical or scientific problems.

Cognate. Students will demonstrate understanding of a cognate area related to their concentration.

Communication. Students will demonstrate the ability to communicate effectively in both oral and written form.

Information Literacy. Students will demonstrate the ability to learn independently by locating and evaluating materials relevant to a given problem.

B. S. Ed. Mathematics

Mathematics Preparation 1. Prospective Teachers have a firm conceptual grasp of limit, continuity, differentiation and integration, and a thorough background in the techniques and applications of calculus.

Mathematics Preparation 2. Prospective Teachers use mathematical modeling to solve problems from fields such as natural sciences, social sciences, business, and engineering.

Mathematics Preparation 3. Prospective teachers understand the major concepts of both Euclidean and non-Euclidean geometries.

Teaching Preparation 1. Prospective teachers demonstrate the uses of graphing calculators, computers, and other technologies as tools for teaching mathematics.

Teaching Preparation 2. Prospective teachers will demonstrate the uses of the variety methods to assess mathematical learning, such as open-ended questions, portfolios and performance tasks.

Field-Based Experience. Prospective teachers will acquire full-time teaching experience in 7-12 mathematics that is supervised by a qualified teacher and a university or college supervisor with 7-12 mathematics teaching experience.

Information Literacy. Students will carry out an independent research project and write up their results.

M. A. Mathematics

Algebra. Students will demonstrate a firm conceptual grasp of the fundamental concepts of algebra, the role of proof in algebra, and the role of problem solving, in investigating and linking mathematical content from algebra to mathematical applications.

Analysis. Students will demonstrate a firm conceptual grasp of the fundamental concepts of analysis, the role of proof in analysis, and the role of problem solving in investigating, and linking mathematical content from analysis to mathematical applications.

Geometry. Students will demonstrate a firm conceptual grasp of the fundamental concepts of Geometry, the role of proof in geometry, and the role of problem solving in investigating and linking mathematical content from geometry to mathematical applications.

Communication. Students will communicate mathematical ideas effectively both orally and in writing.

Information Literacy. Students will perform independent research and write up their results.

M. S. Applied Statistics

Probability and Statistical Inference. Students will demonstrate an understanding of the fundamental laws of probability and principles of statistical inference.

Elementary Methods of Statistical Analysis. Students will apply classical linear models, categorical methods, and non-parametric ideas to perform data analysis for the purposes of statistical inference.

Use of Computers. Students will demonstrate proficiency in the effective use of computers for research data management and for analysis of data with standard statistical software packages, particularly SAS.

Practical Experience. Students will gain practical experience in statistical consulting and communicating with non-statisticians.

Information Literacy. Students will locate, read, evaluate, and apply material from the literature to carry out a statistical project.