Artificial Intelligence
Artificial Intelligence (Hochschule Ravensburg-Weingarten Univ.). Instructor: Professor Wolfgang Ertel. This course provides an overview of the field of Artificial Intelligence (AI)
with its current widespread ramifications. Topics covered in this course include: search, game playing, problem solving; reasoning with Bayesian networks; machine learning and data mining;
neural networks; reinforcement learning. And some of the topics will be dealt with in more detail.
| Lecture 01 - Introduction |
| Lecture 02 - Search, Games and Problem Solving Introduction |
| Lecture 03 - Uninformed Search: Breadth-First Search, Depth-First Search, Iterative Deepening |
| Lecture 04 - Heuristic Search: Greedy Search, A*-Search, IDA*-Search |
| Lecture 05 - Games with Opponents, Heuristic Evaluation Functions |
| Lecture 06 - Computing with Probabilities, The Principle of Maximum Entropy |
| Lecture 07 - The Maximum Entropy Method |
| Lecture 08 - The Maximum Entropy Method, LEXMED |
| Lecture 09 - LEXMED, Reasoning with Bayesian Networks |
| Lecture 10 - Reasoning with Bayesian Networks |
| Lecture 11 - Reasoning with Bayesian Networks, Machine Learning and Data Mining |
| Lecture 12 - The Perceptron, The Nearest Neighbour Method |
| Lecture 13 - The Nearest Neighbour Method, Decision Tree Learning |
| Lecture 14 - Decision Tree Learning |
| Lecture 15 - Decision Tree Learning, Learning of Bayesian Networks |
| Lecture 16 - The Naive Bayes Classifier, Clustering |
| Lecture 17 - Clustering, Data Mining in Practice |
| Lecture 18 - Neural Networks: Modeling Learning, Hopfield Networks, Autoassociative Memory |
| Lecture 19 - Neural Networks: Autoassociative Memory |
| Lecture 20 - Neural Networks: Linear Networks with Minimal Errors, The Backpropagation Algorithm |
| Lecture 21 - Neural Networks: The Backpropagation Algorithm, Support Vector Machines |
| Lecture 22 - Reinforcement Learning: Uninformed Combinatorial Search, Q-Learning |
| Lecture 23 - Reinforcement Learning: Q-Learning |
| Lecture 24 - Reinforcement Learning: Exploration and Exploitation, Curse of Dimensionality |
| Lecture 25 - Recommender Systems: The Link-analysis Algorithm, Nearest neighbour Filtering |