Course Materials 56:230 Innovation Science and Studies
Lecture Supplements Available at ICON
Part 1 How to Write?
Part 2 Introduction to Innovation Science
Part 3 Computational Innovation
Part 4 Interaction Design
Part 5 Design Strategy
Part 6 Overview of Evolutionary Computation Evolutionary Computation Explained
Part 7 Genetic Programming 1 Genetic Programming 2 Genetic Programming 3 Genetic Programming Applications
Part 8 Dependency Structure Matrix
Part 9 Introduction to Fuzzy Logic
Part 10 Chaos Theory I
Part 11 Chaos Theory II
Part a Evolutionary Programming
Part b Evolutionary Strategy Algorithm Part c Introduction to Neural Networks Neural Networks: Examples Evolving Neural Networks 1 Evolving Neural Networks 2 Radial Basis Neural Network Part d Solution Representation Part e Text Mining Text Mining and Innovation Part f Introduction to Data Mining Entropy Part g Decision Tree Algorithm Features Discretization Part h Data Mining Software Part j Association Rule Mining Part k Clustering Part l Bayesian Algorithm Part m Support Vector Machine 1 Support Vector Machine 2 Part n Transformed Data Sets Part o Invariant Objects
Ethics Corner
Main course page