FS2013 | Visualize ComplexCity
Data is beautiful!
The students will learn how to visualize urban-related data in a meaningful way using Blender and Python. The goal is to make raw data visible by the generic means of program code (Python). The resulting visualizations will be incorporated into urban video footage by using animation and rendering tools of Blender.
The course will start on February 11th with an intense block course on the basics of Blender. You will learn learn how to animate, model, texturize, render. Furthermore we will have a look into motion tracking, the compositor workflow and the game engine of Blender. The aim is to know the software before we start scripting with it.
The case study area is Zurich. You will create video footage of an neighborhood that corresponds with your data and merge them together using Blender and Python. No previous programming knowledge is required.
Where: HIT H12
When: INTRO WEEK from FEB 11 - 15, Fridays 13:00 - 16:00
4 ECTS (for 80% attendance)
Main links: Blender Beginner's Tutorial (CGCookie), Blender Beginner's Tutorial (Rowan Stringer), Interface Customization , Blender's official tutorial page, BlenderGuru (Andrew Price) , CGCookie , News: Blendernation
This is a rough schedule of what we would like to cover in the introduction week. We will try to produce a one minute movie in the end. Starting Feb 11th, 9.a.m.
In the following we document the process of the Blender introduction week for the spring semester course 2013. The video of day 2 was also part of the first excercise, which consist of creating a path animation.
You will learn the basics of programming in Python. The exercise will make you familiar with basic concepts, such as loops and conditional statements.
We will advance our knowledge in progromming with Python. The goal of this weeks lecture is to understand the basic concepts of object oriented programming. We will also look at some famous algorithms; how they work and what we can use them for.
We will look into basic modelling and simulation concepts. We will gain insights into agent based and grid based modelling.
What you need to proceed and succeed. A bunch of links, lots of example files, hints. Task description for Friday April 12th.
Visualization of public supply by the main supermarket chains. Students: Arpad Hetey, Fabian Willi.