| Math, Statistics and Science Course Descriptions
The University will endeavor to offer the courses as outlined below; however, unforeseen circumstances sometimes require a change of scheduled offerings. Students are strongly advised to check the Schedule of Classes or the department before relying on the schedule below.
MATH 100 Decisions Based on Data:
This course provides the basic mathematical skills required for subsequent studies at JP Catholic. It reviews basic algebra, statistics and basic calculus. The goal of the course is to provide students with the mathematical tools to make decisions based on analysis of data. Students are required to search the media for data on topical issues and use the tools learned to reach conclusions.
MATH 200 Calculus I:
This course is the first course in the calculus of one variable intended for Computer Engineering majors. It is open to others who are qualified and desire a more rigorous MATH course than MATH 100. This course provides a better preperation for business students who are required to take MATH 210. Topics covered include the algebraic and analytic properties of the real number system, functions, limits, derivatives, and an introduction to integration.
MATH 202 Calculus II:
This course is a continuation of MATH 200. Topics covered in the course include several algebraic techniques of integration, many applications of integration, and infinite sequences and series.
MATH 204 Differential Equations:
This course covers the following: first order linear equations, higher order linear equations with constant coefficients, linear systems, qualitative analysis of non-linear systems, and an introduction to stability and bifurcations.
MATH 210 (BUSI 217) Business Statistics:
Statistical methods used in business research, analysis and decision making; preparation and presentation of data, frequency distributions, measures of central tendency and dispersion, statistical inference, regression and correlation.
MATH 300 Linear Algebra:
This course is an introduction to the techniques of linear algebra in Euclidean space. Topics covered include matrices, determinants, systems of linear equations, vectors in n-dimensional space, complex numbers, and eigenvalues. The course is required of Computer Engineering majors, but is also suitable for students in business management.
MATH 302 Advanced Probability and Statistics:
This course provides a through understanding of modern probability theory. Topics include probability spaces, discrete and continuous random variables, joint and conditional distributions, mathematical expectation, the central limit theorem, and the weak law of large numbers. Applications to real data will be stressed, and we will use the computer to explore many concepts.
NATS 400 The Wonders of the Natural Sciences:
This course introduces the student to the broad spectrum of sciences used to probe the physical and biological worlds. Students learn of ‘natural’ phenomena, including planets and stars, atoms and magnetism, the great range of molecules, living cells and organisms, and the dynamics of the earth. The course describes current topics in the life sciences, such as the Human Genome Project, which transcends the boundaries of physics, chemistry, the biological sciences, and computing.
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