Artificial Intelligence
Fakultät für Informatik und Mathematik ©
Name Artificial Intelligence
Verantwortlich Prof. Dr. Gudrun Socher
SWS 4
ECTS 5
Sprache(n) Englisch
Lehrform SU mit Praktikum
Angebot im Wechsel mit anderen Fächern der gleichen Fachgruppe
Aufwand

56 contact hours (28 hours for lecture&discussion, 28 hours for lab sessions) 44 hours for preparing and documenting in-class and lab assignments, 50 hours for reviewing classes and preparing for the exam.

Voraussetzungen

Foundations of computer science and basic programming skills. Some basic familarity with calculus, linear algebra, and logic.

Ziele

Students who successfully complete this module will be able to:

  1. Describe the main techniques to create intelligent machines.
  2. Use relevant methods for representing knowledge and reasoning about it.
  3. Apply machine learning techniques to data sets.
Inhalt

Introduction to fundamental techniques of artificial intelligence, including formalisms for representing knowledge and reasoning about it, methods for searching and planning, and approaches to machine learning.

Medien und Methoden

Slides, notes, white board, video clips.

Literatur

Standard texts on artificial intelligence, such as:

  • Stuart Russell and Peter Norvig. Artificial Intelligence: A Modern Approach (Third Edition). Prentice-Hall, Upper Saddle River, New Jersey, 2010.
  • Wolfgang Ertel. Introduction to Artificial Intelligence, Springer, 2011.
  • Ivan Bratko. Prolog: Programming for Artificial Intelligence (Third Edition). Addison-Wesley, Readings, Massachusetts, 2000.
  • Stephen Marsland. Machine Learning: An Algorithmic Perspective. CRC Press, Boca Raton, Florida, 2009.
Zuordnungen Curricula
SPO Fachgruppe Code ab Semester Prüfungsleistungen
IF Version 2012 FWP IF-I-B-F68 4 benotete mündliche Prüfung (60%)
benotete Studienarbeit (40%)