Course on Artificial Intelligence

by Dr. Tobias Guenther

Literature


Resources

Exercises and exam



Lecture slides and Exercises





Date

Topic

Materials

19.05.15


Course Overview

Introduction

KI & Gesellschaft






Exercises_1_2



Problems

Matlab Howto & Function Reference

First steps (Uni Potsdam)


Matlab Files Gradient Descent

Exercises_3_4


09.06.15 13:00-17:00

Gradient Descent: HowTo Learning

Exercises_5_6





Neural Nets Wetware Software

Matlab Files Neural Net

Exercises_7_8_9


16.06.15

Genetic Algorithms Wetware

Genetic Algorithms Software

Exercises_10_11

Java-Files Tangram




23.06.15

Robotics & Reinforcement Learning


Exercises_12_13

Material.zip



Naïve Bayes Predictor




Exercises_14_15


30.06.15

13:00-17:00


Feature Selection, Simple Algorithms for Clustering & Prediction

Material_Feature_knn.zip

kmeans.zip

Exercises_16_17


07.07.15

13:00-17:00

AI in Games

Dijkstra Algorithm, NavMesh





30.04.15 13:30

180C


Exam





Trees

Prediction with Trees


Matlab_ID3_Scripts

Decision Tree Software

Exercises_18_19