16.02.2015	Introduction to Classification
	What is it good for and how is it used. The pizza example
23.02.2015	Introduction to the Environment
	Including R Studio in your digital toolchain. The AI example.
02.03.2015	The Math underneath
	The Simplicity of Machine Learning. The Flower example.
09.03.2015	Automatic Collage
	The Sketch-Scan-Render Workflow. The buildingblock example.
16.03.2015	Seminar week (No lecture)
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23.03.2015	Kick-Off Project Work
	Brainstorming, Discussion and Roadmap.
30.03.2015	Applied Classification
	Algorithms, Data and Usecases. Student project.
20.04.2015	Workshop I – Analysis
	Finishing the first half of the student project.
27.04.2015	Urban Sensing and Simulation
	Automatic data acquisition and Urban Hacking. Project work Q&A.
04.05.2015	Workshop II – Interpretation
	Finalising the individual project work.
11.05.2015	Final iA critique
	Combined critique with the other iA courses