Students learn concepts and techniques for data mining. Methods for the application of various probability distribution techniques are used to evaluate the probability of real world events. Students learn about logistic and multiple regression and how that is used in making predictions. Pattern evaluation methods are explored for marketing data. Prerequisite: Post-secondary education in a field related to computer science or mathematics is recommended. Alternatively, students would benefit from a basic understanding of programming concepts. NOTE: This course uses Linkedin Resources. Textbook Required.
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
This course will examine the principles of dimensional metrology, applied precision measuring instruments relating to the geometric features, and complex measuring instruments. Topics will include optical, electronic and pneumatic instruments and co-ordinate measuring machines. The integration of the measuring instruments within the manufacturing cell is studied together with the required interface devices. Prerequisite Recommended: Grade 12 Math (general or advanced) or equivalent recommended Textbook Required.
Prerequisite: First year math course.
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 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).