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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
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Module Outline
The module is split into three parts:
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Week 3 – 5: Data 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 |
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Morning | Data Literacy | Data Literacy | ||
Afternoon | Data Literacy | Data Literacy | ||
Week 2 | Tuesday 7.11 | Wednesday 8.11 | Thursday 9.11 | Friday 10.11 |
Morning | Data Literacy | Data Visualization | Data Visualization | Data Visualization |
Afternoon | Data Literacy | Data Visualization | Data Visualization | Data Visualization |
Week 3 | Tuesday 14.11 | Wednesday 15.11 | Thursday 16.11 | Friday 17.11 |
Morning | Reading Week | Reading Week | Reading Week | Reading Week |
Afternoon | Reading Week | Reading Week | Reading Week | Reading Week |
Week 4 | Tuesday 21.11 | Wednesday 22.11 | Thursday 23.11 | Friday 24.11 |
Morning | Data Visualization | Data Visualization | Data Visualization | Data Visualization |
Afternoon | Data Visualization | Data Visualization | Data Visualization | Data Visualization |
Week 5 | Tuesday 28.11 | Wednesday 29.11 | Thursday 30.11 | Friday 1.12 |
Morning | Data Visualization | Data Visualization | Data Visualization | Data Visualization |
Afternoon | Data Visualization | Data Visualization | Data Visualization | Data Visualization |
JB: Joëlle Bitton, NF: Nicole FoesterlTB: Timon Grossenbacher, BW: Benjamin Wiederkehr, JG: Joël Gähwiler