What is Mathematics?
The Department of Mathematics at the University of Pittsburgh at Johnstown currently offers two options in its Mathematics major. The Applied Option is a typical degree in mathematics with an added minor from within the natural sciences. Many undergraduate Mathematics and Computer Science majors choose to pursue a dual major in both areas. Students graduating with the Applied Option go on to work in industry, work for agencies in the government (such as the NSA or other operates of the DoD), or go on to further studies and pursue a Master's or Doctoral degree. The Actuarial Option is primarily designed for those students that wish to pursue employment in the actuarial sciences but those graduates can easily pursue any of the directions previously mentioned. The main course of study for Mathematics majors in both options includes a core of fundamental courses in the discipline as well as related technology component. Upon completion of the core courses, the two options differ only in that the Applied Option requires a minor from a related area within the natural sciences (currently there are minors offered in Biology, Chemistry, Computer Science, Geology, Physics and Psychology), while the Actuarial Option replaces that minor with a concentration of courses in Business and Economics. A minor in Mathematics is also offered.
What can I do with a Mathematics degree?
An undergraduate major in mathematics is good preparation for a variety of careers, many of which make no special use of mathematics itself, but do require the ability to reason carefully and express oneself clearly. There are, of course, careers that make explicit use of undergraduate training in mathematics, such as Actuary, Applied Mathematician, and Statistician.
To see what some of the Pitt-Johnstown Mathematics alumni are doing, click here.
Program Mission Statement
The mission statement of the undergraduate program in Mathematics is to provide our students with a strong introduction to the variety of topics that are fundamental to the study of mathematics in order to prepare them for future endeavors in graduate study, employment in a mathematical field of industry, education or government service, or employment in a non-mathematical related area in which their skills are valued.
What kinds of courses will I take?
The courses listed below are only a small glimpse into the Mathematics courses available on our campus. To view the full list of Mathematics course descriptions, click here.
|MATH 0080 - FUNDAMENTALS OF MODERN MATH|
This course is designed primarily for students whose interests lie outside the natural sciences. It emphasizes problem-solving approaches common to many mathematical areas. Topics include geometry, measurement, probability, and statistics.
MATH 0221 - ANALYTIC GEOMETRY AND CALCULUS 1
This is the first of a sequence of three basic calculus courses intended for all mathematics, engineering, computer science, and natural science students. Topics include the derivative and integral of functions of one variable and their applications. Trigonometric functions are included.
MATH 1012 - INTRODUCTION TO THEORETICAL MATHEMATICS
This course is an introduction to the theoretical treatment of logic, sets, functions, relations, partitions, compositions, and inverses. Classwork and homework will concentrate on the writing and understanding of proofs of theorems.
MATH 1153 - INTRODUCTION TO PROBABILITY STATISTICS 1
This course presents at both theoretical and applied levels the basic probability concepts required for statistical inference. Topics include set theory and basic probability; independence and Bayes Theorem; discrete random variables and their distributions (Bernoulli, binomial, Poisson, and geometric); continuous random variables and their distributions (uniform, exponential, gamma, beta, and normal); transformation of random variables, moments, and moment-generating functions; multivariate discrete, marginal, and conditional distributions; and independent variables.
MATH 1178 - OPERATIONS RESEARCH
This course is an introduction to the mathematical study of management decisions concerning business, government, and other organizations and operations. Topics may include linear programming, dynamic programming, inventory theory, queuing theory, network models, and nonlinear programming. Standard linear programming computer algorithms are used.
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