Undergraduate Courses

Undergraduate Courses |

The following is a list of undergraduate courses offered at Tyndale University.

Narrow down the list of courses using the course code search below. Enter the course code or partial course code and click on "Apply" —examples: "HIST" "BUSI" "PHIL" "101"

Displaying 1 - 8 of 8

MATH 101 ‐ Introduction to Mathematics (3 credit hours)

Provides an introduction to fundamental ideas and methods in the work of mathematics. This will be achieved through a review of key elements of high school level mathematics as well as extensions to more advanced topics, an overview of the applications of mathematics in various fields and reflections on the lessons from mathematics through the eyes of Christian faith.

MATH 111 ‐ Calculus I (3 credit hours)

A standard first year level Calculus course which covers a wide variety of topics, which include: the real number system, algebra of functions, limits and continuity, inverse functions, differentiation, the intermediate value theorem, the mean value theorem, differentiation of transcendental functions, L’Hôpital’s rule, curve sketching and applications of the derivative. Prerequisite: MCV4U or MCB4U or OAC Calculus

MATH 112 ‐ Calculus II (3 credit hours)

A standard first year level integral Calculus course which covers a wide variety of topics, which include: inverse functions, L’Hôpital’s rule, the definite integral, the fundamental theorem of calculus, integration of transcendental functions, the substitution rule, techniques of integration, applications of the integral and improper integrals. Prerequisite: MATH 111

MATH 121 ‐ Introduction to Statistics (3 credit hours)

Covers the basic techniques of descriptive data analysis and their application to qualitative and quantitative research.

MATH 131 ‐ Introductory Linear Algebra (3 credit hours)

Linear algebra is the study of linear systems 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 and engineering. In this class, we will concentrate on the mathematical theory and methods of linear algebra. Prerequisite: MCV4U or MCA4U or OAC Algebra and Geometry

MATH 151 ‐ Discrete Mathematics I (3 credit hours)

An introduction to discrete mathematics. In contrast to calculus, discrete mathematics deals with structures consisting of distinct, disconnected parts. The nature of discrete math makes it ideally suited to (but not limited to) application in computer science. Discrete math is an extensive field. Topics will include Boolean algebra, elemental set theory, induction, relations and counting, functions, probability and graph theory. Attention will also be paid to the notions of proof and counterexample. This course is a good opportunity to sharpen your analytical skills and develop your ability to prove theorems. Prerequisite: Any 4U or OAC Mathematics

MATH 322 ‐ Data Analysis (3 credit hours)

Follows from MATH 121 to address the fundamental concepts and techniques of inferential statistics and their application to quantitative research. It also examines experimental design in research and the statistical analysis of experimental data. Prerequisite: MATH 121

MATH 324 ‐ Statistics for Business (3 credit hours)

Examines mathematical methods and analytical techniques used to assist managers in decision making. Topics include probability, forecasting, decision under uncertainty, decision trees, linear programming, queuing theory and inventory management. Introduces methods to understand and interpret data, to deal with variability and to use statistics for process quality. Prerequisite: MATH 121