METU Digital Design Studio - METU Digital Design Studio

The course aims to develop an understanding of machine learning in general terms and its potential relation with computational design and architecture. In this course, firstly the notions such as function, parameter, variable, algorithm, data, problem-space, dimension and features are discussed in relation with design disciplines. The discussion is elaborated with basic introduction to probability and optimization theory and corresponding methods to form a basis for machine learning algorithms. Thereafter, the traditional machine learning strategies, models and algorithms are exemplified with their uses in architecture. Followed by the hands-on tutorial for machine learning implementations in a visual programming language, the students are expected to complete a term-project which focuses on a particular problem in the field of architecture by means of a machine learning algorithm.