MATH-Y. High School Algebra II (0)
Designed to bridge the gap between high school Algebra I and college mathematics (Ursinus MATH103E. Modern Mathematics).  Emphasis is placed on solving fractional equations, equations in two variables, and systems of linear equations. Additional topics studied include quadratic formula, radicals, fractional and negative exponents, and the graphing of polynomials.  A passing grade on the final exam for this workshop course meets Ursinus College's admission requirement of one unit of high school Algebra II.

MATH-103e. Introduction to ModernMathematics (3)
A treatment of the ideas especially pervasive in modern mathematics with emphasis on their applications to business and economics: linear equations and inequalities, simultaneous equations, linear programming, matrices, formulas for compound interest and annuities, and logarithms.
Note: This course requires a basic background in high school algebra. Students who are weak in this area should take MATH-Y before taking 103E. Ask your adviser.

MATH-104e. Introduction to Modern Mathematics (3)
A basic course in differential calculus as it pertains to business and economics, including the use of computer algebra systems.  Additional topics: exponential and logarithm functions and their derivatives.
Note: This course requires a strong background in high school algebra.  Students who are weak in this area should take MATH-Y.

MATH-111. Calculus I (4)
Limits; derivatives; applications of derivatives; integrals; trigonometric, logarithmic, and exponential functions and their applications. Use of a computer algebra system. 
Prerequisite: placement based on the high-school record and a diagnostic review.  Offered both semesters. Four hours per week.
Note: A student may not receive credit for both MATH-108 and MATH-111. A student who has received credit for MATH-111 may not enroll in MATH-105 or MATH-107.

MATH-241Q. Statistics I (4)
Statistical methods of studying data, measures of central tendency and dispersion, probability, and distributions including: binomial, normal, and Student's confidence intervals and hypothesis testing. Computer statistical packages.
Note: We strongly recommend that students have basic knowledge of spreadsheet applications before enrolling in this course.

MATH-242. Statistics II (4)
A continued study of basic statistical techniques including basic concepts of experimental design, techniques of analysis of variance, methods of regression analysis, linear models, chi-square tests and non-parametric statistics.
Prerequisite: MATH-241Q.

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