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Module Overview

The module takes place over 5 weeks, including a reading week (3), from Tuesday to Friday, 9.30 – 17.00, November 02 – December 01 2017.
Class sessions include lectures, discussions, mentoring sessions, in-class exercises, assignments and independent study blocks.
Projects are conducted in groups of 4 students.

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  • Course title: Interactive Visualization
  • Dates: November 2 – December 1 2017
  • Days: Tuesday to Friday
  • Lecture hours: 09.30 – 17.00
  • Office hours: 09.30 – 17.00
  • Classroom: TBD

Module Instructors

Joël Gähwiler
joel.gaehwiler@zhdkgaehwiler@zhdk.ch
Technology and programming

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Group Mentoring
Individual review and coaching sessions where the instructors give advice to groups of students.

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Overview and Objectives

Topic Overview

Many aspects of society, science, business, finance, journalism, and everyday human activity, become ever more quantified. As a result, our world is awash with data of increasing amount and complexity. Still, we must keep afloat with our innate human abilities and limitations. For designers in this environment, working confidently with data becomes an essential skill. Visualization is one way to tame this information overload: well-designed representations replace difficult cognitive calculations with simpler perceptual interpretations. They can thus improve accessibility, comprehension, and memory. More literally, visualization is the process of transforming data into visuals like charts, graphs, and maps. These are then used to explore, evaluate and explain insights hidden in the data. The goal being to engage and aid diverse audiences in analytical sense and decision making.

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This course provides students with an introduction into the theory and practice of designing with data while keeping the human in mind. They learn the basics for creating effective data visualizations. This includes principles from graphic design, human-computer interaction, perceptual psychology, cognitive science, and statistics. We touch on the topics of data literacy, graphical encoding, visual perception, interaction, animation, narration, color, maps, networks, graphs, and text visualization. In practical exercises, students apply the tools and technologies to design and develop interactive visualizations for the web. After this course, students will be able to turn a data source into a useful, truthful, and beautiful data experience tailored to specific information needs or communication goals.

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Module Outline

The module is split into three parts:

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Week 3 – 5: Data Visualization
Students learn and apply the basics of data visualization within a group assignment to build their own interactive visualization.

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Expectations and Grading

Grades will be based on group presentations, class participation, home assignments, documentation (journal) and final work. 
Contributing to constructive group feedback is an essential aspect of class participation. 
Regular attendance is required. Two or more unexcused absences will affect the final grade. Arriving late on more than one occasion will also affect the grade.

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Any assignment that remains unfulfilled receives a failing grade.  

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Deliverables

See Example below:

  • Oral presentations

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  • The journal should be structured in a generally comprehensible manner
  • The lecture notes, including annotations, are stored
  • Notes, sketches for each lesson should be included as well

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Course Materials

Essentials

Add a short list of specific articles, chapters, videos, podcasts, etc. here.

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(7) Calendar

Content week by week or module calendar. See examples below:
 

Example 1

Week 1 - 20.02.17 Deconstructing Interaction Design

The focus of this introductory lesson is a discussion on the term "Interaction Design". 

From your short experience as design students in the first semester and your various experience as customers and users, we’ll uncover the variety of meanings of interaction design.

We’ll also look at the syllabus and go through the lectures to prepare.

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Löwgren, J. & Stolterman, E. (2007). Thoughtful Interaction Design. The Process (15­-41). 

Week 2 - 27.02.17 Perspectives of design

Historical outline and introduction of design methods theories. Highlighting the notion of design, technology and human experience.

Lecture : “Perspectives of Interaction Design”

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Carroll, J. M. (2000). Making Use: Scenario-­Based Design of Human­Computer Interactions. The MIT Press. 

Dreyfuss, H. S. (1955). Designing for People. (26-­43). 

Dubberly, H. ­(2004). How do you design? Dubberly Design Office.

Kolko, J. (2011). Exposing the Magic of Design: A Practitioner’s Guide to the Methods and Theory of Synthesis (Oxford Series in Human­Technology Interaction) (1 ed.). Oxford University Press, USA. 

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Dreyfuss, H. S. The designer’s role (sketch).

Kolko, J. (2007). Thoughts on Interaction Design. Brown Bear LLC. (Chapter 3) 

Week 3 - 06.03.2017 Design in the everyday context

etc..

Example 2

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Calendar 


Week 1

Tuesday 31.10

Wednesday 1.11

Thursday 2.11

Friday 3.11

Morning



Data LiteracyData Literacy

Afternoon



Data LiteracyData Literacy

Week 2

Tuesday 7.11

Wednesday 8.11

Thursday 9.11

Friday 10.11

Morning

Data LiteracyData VisualizationData VisualizationData Visualization

Afternoon

Data LiteracyData VisualizationData VisualizationData Visualization

Week 3

Tuesday 14.11

Wednesday 15.11

Thursday 16.11

Friday 17.11

Morning

Reading WeekReading WeekReading WeekReading Week

Afternoon

Reading WeekReading WeekReading WeekReading Week

Week 4

Tuesday 21.11

Wednesday 22.11

Thursday 23.11

Friday 24.11

Morning

Data VisualizationData VisualizationData VisualizationData Visualization

Afternoon

Data VisualizationData VisualizationData VisualizationData Visualization

Week 5

Tuesday 28.11

Wednesday 29.11

Thursday 30.11

Friday 1.12

Morning

Data VisualizationData VisualizationData VisualizationData Visualization

Afternoon

Data Visualization

Data Visualization

Data Visualization

Data Visualization

JB: Joëlle Bitton, NF: Nicole FoesterlTB: Timon Grossenbacher, BW: Benjamin Wiederkehr, JG: Joël Gähwiler