Current Programs Open for Registration
Online Fall Math Contest Preparation Club (Sept 19 - Oct 20 2023, 5 Weeks)
Location: Online
Schedule: Tuesdays & Thursday, 4:30 pm - 5:45pm
Course Description: The Fall Contest Club is five weeks long and will cover contest questions and problem-solving strategies that students may come across when writing contests. Instruction will focus on the fundamentals of problem solving in fun and age-appropriate ways, as well as honing their skills in quickly assessing how to solve a problem by recognizing its type. This helps to start to build the habits of mind needed for problem solving in general and geometry and algebra problems, particularly, in later years.
Relevant Contest: Math Kangaroo 9/10, Math Caribou, CLMX, COMC, AMC 10
Fee: $255 + Tax
Location: Online
Schedule: Tuesdays & Thursday, 4:30 pm - 5:45pm
Course Description: The Fall Contest Club is five weeks long and will cover contest questions and problem-solving strategies that students may come across when writing contests. Instruction will focus on the fundamentals of problem solving in fun and age-appropriate ways, as well as honing their skills in quickly assessing how to solve a problem by recognizing its type. This helps to start to build the habits of mind needed for problem solving in general and geometry and algebra problems, particularly, in later years.
Relevant Contest: Math Kangaroo 11/12, Math Caribou, CLMX, COMC, AMC 12
Fee: $255 + Tax
In-Person Math Enrichment Program (November 4 - December 2 2023, 5 Weeks)
Location: In-Person (St George Campus)
Schedule: Saturdays, 10 AM - 1 PM and 1 PM - 1:15PM (Q&A / Office Hours)
Course Description: In this course, we’ll study connections between concrete scientific problems and dynamical systems, a subfield of mathematics dedicated to understanding oscillations, chaos, and other complex behaviours associated to quantities that change over time according to simple prescribed rules. As a group, we will use ideas from dynamical systems theory to carefully understand the scientific merit of mathematical models. We’ll also examine basic strategies from control theory for stabilizing dynamical systems that model rudimentary mechanical devices. Time permitting, we’ll investigate the use of basic probabilistic Markov chain models for predicting certain natural outcomes and explore computer simulations of the models. A background in coding is not required (though it is strongly encouraged!).
Please Note: This course is open to Grade 9 - 12 students, but the class will be taught at a Grade 10 - 12 level. Students in Grade 9 with a strong interest and background in mathematics may join this course.
Fee: $325 + tax