Module Import 04IN2030 - Artificial Intelligence 2

Status: (discontinued) Published
Workload6 ECTS = 180 hrs
Credits, Weight6 ECTS, (n.s.)
Language of Instruction German
Semester (n.s.)
Duration1 Sem.
M/E Elective
Courses
Course No. Type Name MA/EL Workload Credits Contact Hours Selfstudy Group Size
04IN2030-1 Lecture Artificial Intelligence 2 (n.s.) 3 ECTS = 90 hrs - 2 hrs/week = 30 hrs 60 hrs (n.s.)
04IN2030-2 Exercise Artificial Intelligence 2 (n.s.) 3 ECTS = 90 hrs - 2 hrs/week = 30 hrs 60 hrs (n.s.)
Learning Outcomes

Die Studierenden verstehen die Grenzen von symbolischen KI Systemen und den Übergang zu sub-symbolischen Verfahren. Insbesondere können Methoden zum Entwurf komplexer intelligenter KI-Systeme verstanden und angewendet werden. Die Verwendung von Methoden aus der Mathematik zur Analyse von Konvergenzverhalten bestimmter nicht-symbolischer Verfahren werden beherrscht. In praktischen Übungen werden einzelne experimentelle Systeme erstellt.

Content

(not specified)

04IN2030-1 - Artificial Intelligence 2
  1. Einführung und Motivation mittels Problemen der Robotik
  2. Maschinelles Lernen
  3. Neuronale Netze
  4. Genetische Algorithmen
  5. Fallbeispiele
Teaching Methods

(not specified)

Prerequisites

(not specified)

Examination Methods

Klausur 

Credit Requirements

(not specified)

References

(not specified)

04IN2030-1 - Artificial Intelligence 2

Russell, Norvig , AI: A Modern Approach, Prentice Hall, 1995 Nilsson, AI: A New Synthesis, Morgan Kaufman, 1998

Poole, Mackworth, Goebel, Computational Intelligence, Oxford, 1998

Use of this Module
  1. unmodified as Elective  -    BSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Artificial Intelligence 2
  2. unmodified as Elective  -    BSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Artificial Intelligence 2
  3. unmodified as Elective  -    BSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Artificial Intelligence 2
  4. unmodified as Elective  -    MSc Computer Science 2017  -    Mandatory elective courses in mathematics and theoretical computer science  -    Artificial Intelligence 2
  5. unmodified as Elective  -    MSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Artificial Intelligence 2
  6. unmodified as Elective  -    MSc Computer Science 2017  -    Major subject computer science  -    Data and Knowledge Engineering  -    Artificial Intelligence 2
  7. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Artificial Intelligence 2
  8. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Artificial Intelligence 2
  9. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in theoretical computer science and mathematics  -    Artificial Intelligence 2
  10. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in theoretical computer science and mathematics or natural and social sciences  -    Artificial Intelligence 2
Responsible / Organizational Unit
Furbach, Ulrich / Institute for Computer Science
Additional Information

(not specified)

Last change
Apr 24, 2018 by Frey, Johannes
Last Change Module
Mar 2, 2015 by Frey, Johannes