Maple Training at Wilfrid Laurier University

Maple Training at Wilfrid Laurier University

Calling All Students...
Maple Training at Wilfrid Laurier University!
...And free lunch...

Saturday February 3rd 2018
10:00 am - 5:15 pm
Wilfrid Laurier University - Waterloo Campus
BA101 | Bricker Academic Building

Join us for a day of Maple training at Wilfrid Laurier University and learn some of the fundamental concepts for using Maple. Get a hands-on lesson on the basic steps to compose, plot and solve various types of mathematical problems. This training day will also have an overview of Maple packages, advanced features and some programming.

To RSVP, please fill out the form. Please note this session requires that each attendee bring a laptop equipped with a copy of Maple 2017. If you don't have a working copy of Maple 2017 on your laptop, check the box to the right and a temporary download copy of Maple 2017 will be emailed to you.

All attendees will be provided with a certificate of completion.

All attendees will be entered into a raffle draw for a FREE pair of BOSE QuietComfort 35 wireless headphones II

First 20 attendees will receive a $20 Tim Hortons Gift Card

Fill out the form below to attend.

Email Address:
First Name:
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Require a copy of Maple?

Yes, I will need a copy of Maple on my laptop.


9:30 am - 10:00 am
Registration & Set-up
10:00 am - 12:00 pm
Introduction to Maple Dr. Ilias S. Kotsireas, Professor
Wilfrid Laurier University Department of Physics and Computer Science

Introduction to the basic features and functionalities of Maple and its underlying programming language. There will also be an overview of Maple packages. Emphasis will be given on carrying out small projects, and using Maple's computational and visualization capabilities. The overall guiding principle is that students will be able to conduct their own projects using Maple.

12:00 pm - 1:00 pm
Lunch (provided)
1:00 pm - 3:00 pm
Generating Random Numbers
Erik Postma - Senior Architect, Math Group, Maplesoft R&D

In this session, we will explore what a continuous probability distribution is. We'll then discuss how one can use (pseudo-)random numbers in a computer, and how to generate random numbers according to particular (families of) probability distributions. We’ll then discuss several versions of an algorithm for generating random numbers according to an arbitrary probability distribution.

3:00 pm - 3:15 pm
Coffee Break
3:15 pm - 5:15 pm
Mathematical Computation in Maple
Jürgen Gerhard - Senior Director, Advanced Research, Maplesoft R&D

A number of examples from application areas such as combinatorics, graph theory, number theory, constrained optimization, astrophysics, geometry, and computational mechanics will be discussed. Participants will be guided to solve these example problems using Maple's mathematical, programming, and formula manipulation capabilities.