# MTH259 - Topics in Modern Mathematics

 Semester Fall - 2020 Winter - 2020 Fall - 2019 Winter - 2019 Fall - 2018 Winter - 2018 Fall - 2017 Winter - 2017 Fall - 2016 Winter - 2016 Fall - 2015 Winter - 2015 Fall - 2014 Winter - 2014 Fall - 2013 Winter - 2013 Fall - 2012 Winter - 2012 Fall - 2011 Winter - 2011 Fall - 2010 Summer - 2010 Winter - 2010 Winter - 2009 Summer - 2008 Fall - 2007 Winter - 2007 Fall - 2006 Schools offering this subject Select school School of Arts and Science Last revision date May 25, 2020 1:51:00 AM Last review date Aug 3, 2020 12:15:13 AM

Subject Title
Topics in Modern Mathematics

Subject Description

This is a one-semester mathematics course designed to deepen students? understandings of mathematics.  The course will introduce students to various topics within mathematics that are not typically part of a high school mathematics program.  Students do not require any previous knowledge of the topics being covered in this course.  In addition to gaining confidence and an appreciation of mathematics, students will be able to apply these new math skills to help them be more successful in other courses in their program.

Topics being introduced in this course will be taken from some of the following areas of mathematics: set theory, mathematical logic, combinatorics & probability, statistics, and financial math.  No previous background of any mathematical concepts is required for success in this course.

Credit Status
This is a required course in the Liberal Arts Program (LAT) and the General Arts Certificate Program (GAP).

Learning Outcomes
Upon successful completion of this subject the student will be able to:

Identify properties of sets, including complements, represent sets using Venn diagrams, and perform set operations.

Symbolically represent logic statements using quantifiers, and assess the validity and truth values of formal statements.

Understand the basic principles of probability and conditional probability, and apply principles of counting techniques to solve probability questions.

Characterizing data by using descriptive methods of statistic to find measures of centre, variance and dispersion (standard deviation), as well as interpreting these measures.  Students will also use z-tables and measures of relative standing to interpret normally distributed data.

Essential Employability Skills
Execute mathematical operations accurately.

Apply a systematic approach to solve problems.

Analyze, evaluate, and apply relevant information from a variety of sources.

Manage the use of time and other resources to complete projects.

Take responsibility for one's own actions, decisions, and consequences.