This course provides a working knowledge of college-level mathematics and its applications. The following topics will be covered in this course: sets, computation, measurements, statistics, algebra, relations, functions and graphs, geometry, and trigonometry.
This course is designed to equip students with the mathematics encountered in physics and chemistry courses. It explores topics such as: exponents, logarithms, and scientific notation; measurement, significant figures, ratios, and proportions; simplifying algebraic expressions and solving linear equations; the equation of a straight line, its slope, and its intercept on the Y axis; solving a formula for one variable and changing the subject of a formula; solving linear equations with two variables; quadratic equations; area of a triangle and properties of right angle triangles; properties of a circle; characteristics of other geometric figures; tangent, sine, and cosine and their interrelationships; vectors and introduction to statistics.
This second course concentrates on multivariate calculus, series, ordinary differential equations and applications of calculus. The course assumes students actively using Computer Algebra System(s) (Mathematica and/or Maxima).
Introductory statistics is designed to assist the student in acquiring a good intuitive grasp of statistics, specifically in terms of what it is, how and when to apply various statistical techniques to a host of managerial and other situations, how to interpret the results and draw meaningful conclusions from the data. In today's world, the employment of simple but powerful statistical tools is critical to successful business practices. Introductory statistics will give students exposure to a wide range of statistical tools and concepts required in a quality management environment, as well as in various business fields and other functional areas. The ability to collect, organize, massage, interpret, and present data, is a powerful asset to possess. These skills will be developed through the study of various statistical methods and techniques in this course. Additionally, the student will begin to develop a systematic approach to problem solving and statistical decision making.