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Course Description

This foundational course focuses on the design and implementation of interactive computer visualization techniques for the analysis, comprehension, and explanation of large collections of abstract information. The application of principles from perception, information visualization, interaction and visual analytics will be covered. Practical skills for using tools for cleaning up data, creating interactive visualizations, conducting exploratory analysis and deriving insights from large datasets will be emphasized.

Course Details

Visual analytics in organizations is data management with humans in the loop. This requires fast data delivery along with flexible techniques blending computational analysis - the numbers and hard data - along with visualization. The result is presentation materials that are deeply connected to the analysis process with the final goal of being able to gather, analyze and reanalyze data and trends for business decisions.

Course Level Learning Outcomes

By completion of this course, successful students will be able to:

  • Describe the theory underlying the design of visual analytics tools
  • Communicate design requirements to members of a visual analytics development team
  • Apply theory, concepts and strategies for making design decisions in visual analytics
  • Create effective interactive visualizations based on scientific principles
  • Use visual analytics to derive insights from large and abstract datasets

Topics of Instruction

  • Perception and Data
  • Visual Encoding of Data
  • Interaction Techniques
  • Visualization Design
  • Tabular Data
  • Maps, Networks and Trees
  • Spatial Data
  • Evaluating Visualizations

Notes

For the best experience, your computer and internet connection should meet certain requirements. See the recommended requirements...

Applies Towards the Following Program(s)

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Type
Online Synchronous
Days
T, Th
Time
6:00PM to 9:00PM
Dates
Apr 29, 2025 to May 29, 2025
Schedule and Location
Hours
30.0
Delivery Options
Course Fees
Flat Fee non-credit $979.00
Instructor(s)
Reading List / Textbook

Title: Visualization Analysis and Design
Edition: 2014
Authors: Tamara Munzner
Publisher: CRC Press
ISBN: 9781466508910

Please note: ICT textbooks are not available through the University of Calgary bookstore.

Section Notes

Classes are held online in real time (Mountain Time) at the specified time and dates.

You will require access to a computer with an Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors).

This course uses:

  • Desire2Learn (D2L), an online learning management system. The instructor will post your course outline and other materials in D2L.
  • Zoom web conferencing software.
  • A virtual lab with VMware Horizon, a platform that provides access to virtual applications including the latest software for the course. You will be provided with a VMware account and login information once the course starts.

For the best experience, your computer and internet connection should meet certain requirements. See the recommended requirements...

For more information, please visit our Online Learning Resources.

Unless notified, all online courses are available at 9 am MT the day before the start date. Students who register on (or after) the start date will receive access within one day of registration.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

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