EI2019 Short Course Description

NEW SC07: Visualization Tools and Techniques CANCELLED
Sunday 13 January • 8:00 am – 12:15 pm
Course Length: 4 hours
Course Level: Introductory 
Instructor: Nicolas Holliman, Newcastle University and The Alan Turing Institute for Data Science and AI 
Fee*: Member: $290 / Non-member: $315 / Student: $95 
*after December 18, 2018, members / non-members prices increase by $50, student price increases by $20 

This course provides an introduction for first time users to modern visualization tools and techniques. It includes a strong practical element that gets you up to speed with Power BI, a modern BI visualization tool.

The course will cover the following topics: visualization definitions, choosing between tools, visualizing categorical, numerical and spatial data, and publishing visualizations. You should leave knowing how to generate your own visualizations quickly and easily using a modern visualization tool.

Learning Outcomes
  • Understand visualization definitions.
  • Learn about and distinguish software tools.
  • Understand how to generate visualizations from categorical, numerical, and spatial data.
Intended Audience
Anyone with e.g. a basic knowledge of Excel opening, editing, saving, creating formula who wants to learn about data visualization and how to start using it in their own projects. 

Participants will need to have the free version of Microsoft PowerBI installed on laptops they bring with them to take part in the course. Example data sets and lecture slides will be provided on USB (or web download perhaps) on the day.

Nick Holliman is Professor of Visualization at Newcastle University, UK, where he researches the science and engineering of visualization and visual analytics, addressing the fundamental challenges of visualizing big data. His research includes the psychophysics of the human visual system, the creation of novel algorithms for the control of image content to match human abilities and demonstrating how these algorithms work in practice in scalable cloud-based software tools and award-winning 3D visualizations. He has worked in both industrial and academic environments and is experienced in delivering commercial impact from research outputs. He has led the design of high performance visualization theatres at four different institutions which have been specified to support both individual and team-based decision making. He currently holds a Turing Research Fellowship in visualization with the Alan Turing Institute, London.

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Important Dates
Call for Papers Announced 1 Mar 2018
Journal-first Submissions Due 30 Jun 2018
Abstract Submission Site Opens 1 May 2018
Review Abstracts Due (refer to For Authors page
 · Early Decision Ends 30 Jun 2018
· Regular Submission Ends 8 Sept 2018
· Extended Submission Ends 25 Sept 2018
 Final Manuscript Deadlines  
 · Fast Track Manuscripts Due 14 Nov 2018 
 · Final Manuscripts Due 1 Feb 2019 
Registration Opens 23 Oct 2018
Early Registration Ends 18 Dec 2018
Hotel Reservation Deadline 3 Jan 2019
Conference Begins 13 Jan 2019