Artificial Intelligence: Basics and Applications
Content of the
course An introduction to fundamental terms and methods of
artificial intelligence. Main topics:
- Problem solving
- Inference in predicate logic
- Neural networks
- Reinforcement learning
- Bayesian inference
- Bayesian networks
- Textbook: S. Russell, P. Norvig Artificial Intelligence: A Modern Approach Prentice Hall, 2004, Second Edition - also avaible in German: "Künstliche Intelligenz. Ein moderner Ansatz" (2. Auflage).
- Knowdlege of all compulsory modules of the basis courses of the bachelor in computer science is required, especially the courses MPGI, TheGI and math or equivalent courses.
|Monday||16:00 - 18:00||H
|16:00 - 18:00|
12:00 - 14:00
14:00 - 16:00
LV 3435 L701 basic lecture
in Artificial Intelligence - 6LP -. This course is
corporately organized by the institutes AOT (Prof. Albayrak) and KI
(Prof. Opper). The first part of the course (until December) will be
held by AOT.
This course is avaible online via ISIS . Please enroll there for further information!
Projects in Machine Learning and Artificial Intelligence
Content of the course The projects should allow students to develop an understanding of recent (mostly probabilistic) ideas and techniques in the research areas of Machine Learning and Artificial Intelligence. Projects will be based mainly on original literature (research papers or textbook contributions, usually written in English) and might come from areas such as reinforcement learning, active learning, probabilistic ICA and Bayesian learning of dynamical systems. Assessment of the projects will be based on a written project report and a seminar presentation (in German or English).
This course is part of module PJ Stat. Methoden - 9LP - . For online registration via ISIS - please enroll here! 
Anwendungen der Künstlichen Intelligenz
Content of the course The seminar gives a practical overview of application of algorithms in Artificial Intelligence. It is meant to be an additional course to the lecture and exercise Künstliche Intelligenz: Grundlagen und Anwendungen.
|starting ||17th October 2018
Lecturer: Dr. Andreas Ruttor, LV 3435 L722 seminar in Artificial Intelligence. It is part of module 3945, KI: Grundlagen, Anwendungen und Seminar - 3LP -. This course is avaible online via ISIS . Please enroll there for further information.