Course Catalog

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Course Catalog

MATH FOR LIFE (MA1005)

A General Education course designed for students majoring in subjects not requiring math skills, and those who dislike math. Projects are developed from a range of everyday situations: banking, the stock market, gambling, and even art. Meeting alternately in the classroom and the computer lab to develop mathematical models, students will develop quantitative reasoning, critical thinking, and problem-solving skills.

APPLIED STATISTICS I (MA1020)

Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.

FUNCTIONS, MODELING, PRECALCULUS (MA1025)

Functions Modeling Change provides the algebraic and geometric skills needed to succeed in a Calculus course. The central topic is functions (in particular linear, polynomial, exponential and logarithmic), function notation and graphs, transformations, composition and inverses. Students also work with computers building mathematical models based on these functions, and implemented using graphing calculators, mathematical software and Excel.

CALCULUS I (MA1030)

Introduces differential and integral calculus. Develops the concepts of calculus as applied to polynomials, logarithmic, and exponential functions. Topics include: limits, derivatives, techniques of differentiation, applications to extrema and graphing; the definite integral; the fundamental theorem of calculus, applications; logarithmic and exponential functions, growth and decay; partial derivatives. Appropriate for students in the biological, management, computer and social sciences.

TOPICS IN MATHEMATICS (MA1910)

Topics vary by semester.

OPERATIONS RESEARCH (MA2007)

This course is intended to study the computational methodologies of Linear Programming and its variants and extensions, from the Transportation Problem and the Assignment Model to Network optimisation.
Various types of applications from the fields of Environmental Science (for the determination of the efficient use of scarce resources), Economics, Finance, Advertising... will be investigated and the methods by which useful results are obtainable - together with the reasoning behind the use of these methods - will be discussed.
Both the mathematical aspects and the use of a software package will be highlighted, each approach reinforcing the other. All classes will be held in the computer lab so as to enhance understanding, favour an interactive approach and develop new insights.
Prerequisite: MA 1010 or above

APPLIED STATISTICS II (MA2020)

Familiarizes students with several types of multivariate statistics methods with respect primarily to applications and interpretations in the area of social sciences. This course will cover the data-analysis concepts and procedures used in applied and experimental psychology, economics, business and in general in social sciences. Emphasis will be given to the qualitative interpretation and manipulation of mathematical and statistical concepts, showing the students their effectiveness through concrete applications. Students will use appropriate software packages for labs and projects.

CALCULUS II (MA2030)

The continuation of MA1030, Calculus I. This course is appropriate for economics, mathematics, business and computer science majors and minors. Topics include: infinite series and applications; differential equations of first and second order and applications, functions of several variables, partial derivatives with applications, especially Lagrange multipliers. Includes the use of Mathematica.