Software For Data Science Workshop: Maple

February 23 - 24, 2017, The Fields Institute

As acquisition of data continues to accelerate, businesses in every sector are requiring that their employees are equipped to analyze and understand all of the information available to them. As part of continuing mission of Fields to promote mathematics education, Fields is happy to present an ongoing series of workshops aimed at providing students access to, and training for, some of the skills that employers want most. By participating in these events, students can add valuable skills to their CV and learn some of the most cutting edge techniques used in industry. The events are designed specifically for both undergraduate and graduate students, but also open to faculty and postdocs. All workshops are $10 each for students and faculty and registration is required.

Workshop Series Schedule:

SAS: February 4 - 5, 2017
Maple: February 23 - 24, 2017
Julia: March 20, 22, 2017
Biosymetrics Augusta: April 22 - 23 , 2017

Participants who attend all workshops will receive a Certificate Of Completion from the Fields Institute.

Overview

Objectives:

Combining a comprehensive set of algorithms, powerful numerical and symbolic capabilities, and an intuitive authoring environment, Maple is a great tool for conceptual exploration and interactive learning in the classroom and beyond.

In a series of hands on presentations, Maplesoft will be presenting examples of how Maple can be used to solve problems in data science and statistics, with topics that include:

Data Import and Analysis
An Introduction to DataFrames
Data Visualization
Generating Random Numbers
Regression Analysis
Likelihood estimation
Robust statistics: Dealing with outliers

Participation Requirements:

The workshop will be hands-on and participants should bring their laptops. Complimentary copies of Maple will be provided when participation is confirmed.

Instructors:

Daniel Skoog, Product Manager, Maplesoft

Daniel Skoog is a Product Manager for Maple. Daniel holds a Master’s degree in Mathematics from Uppsala University, Sweden. His primary fields of interest are Financial Mathematics and Statistics. Daniel has been with Maplesoft since 2011.

Erik Postma, Manager, Mathematical Software Group, Maplesoft

Erik studied mathematics and computer science at Eindhoven University of Technology in the Netherlands, studying the geometry of Lie algebras over finite fields for his PhD. He came to Canada in 2007 and has worked for Maplesoft since then. Erik likes playing ultimate frisbee, board games, and disc golf, and writing short autobiographies in third person.

Schedule

Thursday, February 23rd, 2017
09:00 to 09:30	Check In
09:30 to 10:45	Introduction to Maple
10:45 to 11:00	Coffee Break
11:00 to 12:15	Generating Random Numbers
12:15 to 13:30	Lunch Break
13:30 to 14:45	Data Import and Analysis
14:45 to 15:00	Coffee Break
15:00 to 16:15	Data Visualization

Friday, February 24, 2017
09:30 to 10:45	Introduction to DataFrames
10:45 to 11:00	Coffee Break
11:00 to 12:15	Likelihood Estimation
12:15 to 13:30	Lunch Break
13:30 to 14:45	Regression Analysis
14:45 to 15:00	Coffee Break
15:00 to 16:15	Robust Statistics: Dealing with outliers