Data (IOB3-3-24) - Samenvatting colleges, key-concepts en materialen
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Course
Data (IOB3324)
Institution
Technische Universiteit Delft (TU Delft)
Een samenvatting van alle stof voor het vak Data (IOB3-3-24) een tweedejaars Industrieel Ontwerpen vak aan de TU Delft. Deze samenvatting geeft een compleet en duidelijk overzicht van alles dat je moet weten om Data te halen. Een samenvatting van alle colleges, de key concepts en overige stof die j...
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Week 1........................................................................................................................................ 3
College .................................................................................................................................... 3
Week 2........................................................................................................................................ 4
Lecture Data-ecologies ........................................................................................................... 4
How to shape data-ecologies ................................................................................................. 4
Key Concepts .......................................................................................................................... 4
Week 3 Data Modeling ............................................................................................................... 5
Lectures .................................................................................................................................. 5
Key Concepts .......................................................................................................................... 6
Interview................................................................................................................................. 6
Week 4 Data Collection .............................................................................................................. 7
Lectures .................................................................................................................................. 7
Key concepts........................................................................................................................... 8
Workshop ............................................................................................................................... 9
Week 5 Data Responsibility ...................................................................................................... 10
Lecture .................................................................................................................................. 10
All these worlds are yours (ChatGPT)................................................................................... 10
Key concepts......................................................................................................................... 11
Week 6 Data visualisation ........................................................................................................ 12
Lecture .................................................................................................................................. 12
Key Concepts ........................................................................................................................ 13
Week 7 Data Interaction .......................................................................................................... 14
Lecture .................................................................................................................................. 14
Key Concepts ........................................................................................................................ 16
Week 8 Data analysis ............................................................................................................... 17
Lecture .................................................................................................................................. 17
Key Concepts ........................................................................................................................ 18
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, Week 1
College
Digital transformation: het proces en het effect van nieuwe digitale technologieën om
problemen op te lossen.
Digitale technologieën zijn overal en data is de brandstof.
Digitisation: analoge informatie digitaal maken.
Digitalization: processen en andere onderdelen van ons leven om digitale technologie en
informatie structureren.
Digitale technologie heft een grote invloed op de samenleving.
Digital society: effect op hoe we: communiceren, socialize, werken, leren, gezond blijven,
politiek.
Data (raw) → information (organized and structured) →
knowledge (analyzing, interpreting and analyzing) → wisdom
The map is not the territory; the representation might not be valid/ accurate
Real world = sum of all facts data = representation of all these facts
What does the data capture and what doesn’t it capture.
Types of data analytics: descriptive (what happened), diagnostic (why/ how did it happen),
predictive (what/ when will happen), prescriptive (how should we react).
Garbage in, garbage out: bad data in, bad behavior out.
Data wordt verzameld met sensors. Mensen zijn ook sensors.
Type of data sources: ad hoc, spontaneous, crowdsourcing
Data to understand design problem, data for inspiration, data as part of product, data for
testing.
Interacting with data, data for technology, data creating value for business.
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