Math & Statistics   

This course introduces statistical techniques to evaluate quality and analyze processes and products. The course covers fundamentals of statistics, descriptive statistics, probability, binomial probability distribution, normal probability distribution, inferential statistics, and linear regression analysis. Students will be able to practice mathematical formulae as they relate to statistical methods as well as apply Excel to solve statistical problems. The course will develop skills of statistical analysis and decision-making. No Textbook Required.

Software Required: MS Excel

The following topics will be discussed: Introduction to Statistics; Introduction to Minitab; Visual Description of Univariate Data: Statistical Description of Univariate Data; Visual Description of Bivariate Data; Statistical Description of Bivariate Data: Regression and Correlation; Probability Basic Concepts; Discrete Probability Distributions; Continuous Probability Distributions; Sampling Distributions; Confidence Intervals and Hypothesis Testing for one mean and one proportion, Chi-Square Analysis, Regression Analysis, and Statistical process Control.

Prerequisite: First year math course.

Textbook required.

Software Required: Students will have the option of using Minitab, StatCrunch, or Excel to complete some of their assignments. MInstructions: Students must purchase Minitab License rentals online. They will be required to provide a campus email address or other proof of academic status. There are assignments in MyStatLab that all students have to complete. The MyStatLab should be purchased as a bundle with the text. StatCrunch comes with MyStatLab so all students will have access to this.

This course is oriented towards applications of differentiation and integration to analyze and solve problems from main areas of engineering technology. Topics covered include: limits, derivatives of algebraic and transcendental functions and their applications, integration of algebraic and transcendental functions and its applications and selected methods of integration. NOTE: Math course, which covers algebra, linear, quadratic and higher degree equations, systems of equations, exponents, radicals and complex numbers, exponential, logarithmic and trigonometric functions, vectors and oblique triangles and plane analytic geometry. Textbook Required. 

This course introduces students to the applications of differentiation and integration in selected areas of calculus. Topics covered include theory and applications of Maclaurin, Taylor and Fourier series, linear differential equations, functions of two and more variables, double integrals, Laplace transform and introduction to Fourier transform. Prerequisite: Technical Calculus I or equivalent course. Textbook Required.

Software Required: Pearson's My Math Lab program (accompanying A. J. Washington text: Basic Technical Mathematics with Calculus).

This first-level mathematics course for engineering technology programs begins with a review of fundamental concepts, arithmetic operations, and units of measure. This is followed by an in-depth study of basic algebra, trigonometric and other functions, and quadratic equations. Prerequisite: Ontario Secondary School Diploma. Textbook required.

This course is a continuation of Technical Mathematics for engineering technology students.  Topics of study include a more detailed view of exponents and radicals, plane analytic geometry, geometry, complex numbers, and functions including trigonometric, exponential and logarithmic functions. This course also includes an introduction to statistics. The goals of this course are, first to show that mathematics does play a most important role in the development and understanding of the various fields of technology and, secondly to ensure that students acquire the mathematical and critical thinking skills necessary to analyze and solve engineering technology problems. Prerequisite: Technical Mathematics. Textbook Required.