MAT – MATHEMATICS

Course Number/Title

Course description

Prerequisites

Credits

MAT 098 Foundation Mathematics

This course introduces students to the basic topics of arithmetic. Students will add, subtract, multiply, and divide whole numbers, signed numbers, fractions and decimals. Students will solve problems involving ratio, proportions and percentages. The course is intended to promote a discipline of consistent good practice; students will receive support and regular feedback on their progress.

None

0 Credits

MAT 099 Preparatory Mathematics

This course provides access to college mathematics for those students with deficiencies in this area. It covers the foundation material necessary to embark on College Algebra. Topics include numbers, basic algebra, graphs, and basic trigonometry. The structure of the course is intended to promote a discipline of consistent good practice, and ensure that students receive support and regular feedback on their progress.

MAT 098 or Equivalent

0 Credits

MAT 105 College Algebra

– This is a first course in College Algebra, designed for students who are majoring in Business, Economics, Accounting, Literary Studies, Social Studies and Hospitality Management. The objective of this course is to provide a solid foundation in algebraic operations and to introduce the student to the concept of functions and their graphs. Students will explore linear, quadratic, rational, exponential, logarithmic, radical, power, and absolute value functions. This is a special section of College Algebra in which course material will be developed and studied in a new, non-traditional format.

Prerequisite: A mathematics qualification (CXC, GCE, IGCSE) at grade C or above (Grade II/B is strongly recommended), or equivalent OR MAT 99 with a grade B- or above.

3 Credits

MAT 106 College Algebra for Science & Technology

This course is a first course in College Algebra, designed for students who are majoring in Science, Mathematics or Computer Science. Topics of study include algebraic equations and inequalities, absolute value, the algebra of functions, polynomial, rational, exponential and logarithmic functions, systems of equations and inequalities. The objective of this course is to provide a solid foundation in algebraic operations and function.

Prerequisite: A mathematics qualification (CXC, GCE, IGCSE) at grade C or above (Grade II/B is strongly recommended), or equivalent OR MAT 99 with a grade B- or above.

3 Credits

MAT 111 Introduction to Statistics

This course is designed to equip the students with an understanding of the use of statistics and develop their skills in the collection, processing and presentation of single variable data. Students will also learn to interpret data and apply statistical tools to problem-solving in a variety of contexts.

None

3 Credits

MAT 112 Introduction to Statistics

This course is designed to equip the nursing student with an understanding of the use of statistics and develop their skills in the collection, processing and presentation of single variable data. Students will also learn to interpret data and apply statistical tools to problem-solving in a variety of contexts.

Prerequisite: MAT 111 is advised

3 Credits

MAT 121 Precalculus with Trigonometry

The objective of this course is to intro- duce the student to further topics in Algebra as well as to cover Trigonometric identities and equations. The student will encounter mathematical ideas that are needed in Calculus and many fields of science. Topics include various types of functions and their graphs, the study of angles, trigonometric identities and equations, the laws of sine and cosine, polar coordinates and sequences and series.

Prerequisite: MAT 106

3 Credits

MAT 215 Business Statistics

(Students requiring MAT 215, should now take MAT 233 as a substitution)

This course provides the student with various statistical and probability techniques used in the business decision-making process. Students will acquire and apply these techniques to solving business-related problems. The main topics include bi-variate data, discrete and continuous probability distributions, estimation and hypothesis testing.

Prerequisite: MAT 111

3 Credits

 

MAT 216 Calculus for Business

This course covers differentiation, integration and solution of simple differential equations and their application to business. Topics include the use of the Demand function, marginal costs, Price-Demand functions, the Profit Equation and Continuous Compound Interest.

MAT 105

3 Credits

MAT 221 Calculus I with Analytical Geometry

This course focuses on basic differential and integral calculus. Topics in differentiation include limits and continuity, the gradient of a curve, differentiation of algebraic, exponential and logarithmic functions, the chain rule and product and quotient rules and applied maxima and minima problems. Those in integration include the area under a curve, definite and indefinite integrals, numerical integration, substitution and applications of integration.

MAT 121

4 Credits

MAT 222 Calculus II

This course covers more complex topics in differential and integral calculus. These include trigonometric, implicit and parametric functions; further techniques of integration; first and second order differential equations; hyperbolic functions – their inverses, derivatives and integrals; polar coordinates and power series.

MAT 221

4 Credits

MAT 225 Introduction to Linear Algebra

Linear Algebra is the study of linear sys- tems of equations, vector spaces and linear transformations. Solving systems of linear equations is a basic tool of many mathematical procedures used for solving problems in Science, Engineering and Business. In this class, students will become competent in solving systems of linear equations, performing matrix algebra, calculating determinants and finding eigenvalues and eigenvectors. They will cover vectors and spanning spaces.

MAT 216 or MAT 221

3 Credits

 

MAT 233 Probability and Statistics

The purpose of this course is to examine the branch of mathematics which embraces such topics as sets, sequences and functions, logic, relations, induction and recursion, and methods of counting with particular applications in the field of computer science.

MAT 105/106

3 Credits

MAT 260 Discrete Mathematics

This course examines topics like sets, sequences and functions, logic, relations induction and recursion, and methods of counting with particular applications in the field of computer science.

MAT 105 or MAT 106

3 Credits

MAT 311 Quantitative Methods

This course provides an overview of some of the major quantitative modelling tools. Its aim is to introduce decision-makers and analysts to tools that provide a logical structure for understanding problems, as well as mathematical techniques for solving the problems that have been formulated.

Any 200 level Math course

3 Credits