Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Course INF-02-11-K-2

Artificial Intelligence (2V+1U, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.0 CP 78 h
2 V Lecture 28 h
1 U Exercise class (in small groups) 14 h
(2V+1U) 4.0 CP 42 h 78 h

Basedata

SWS 2V+1U
CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe
Level [2] Bachelor (Fundamentals)
Language [DE] German
Lecturers
Area of study [INF-PFL] Mandatory Modules
Livecycle-State [NORM] Active

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (incl. written examination, ungraded)
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Contents

  • Various types of inference (deduction, induction, abduction)
  • Basics of knowledge modelling and knowledge representation
  • Basics of statistical learning
  • Meaning of the search for the AI
  • Basic concepts for combining statistical and symbolic approaches
  • Knowledge of relevant application areas in practice
  • Examples of complex AI (e.g. Alpha Go)

Literature

  • T. Mitchell, Machine Learning , International edition. New York, NY: Mcgraw-Hill Education Ltd, 1997.
  • C. Beierle und G. Kern-Isberner, Methoden wissensbasierter Systeme: Grundlagen, Algorithmen, Anwendungen , 5. Aufl. Wiesbaden: Springer Vieweg, 2014.
  • W. Ertel, Grundkurs Künstliche Intelligenz: Eine praxisorientierte Einführung , 4. Aufl. Wiesbaden: Springer Vieweg, 2016.
  • S. J. Russell und P. Norvig, Artificial Intelligence , Global ed of 3rd Revised ed. Boston Columbus Indianapolis New York San Francisco: Prentice Hall International, 2017.

Requirements for attendance (informal)

Courses

Requirements for attendance (formal)

None

References to Course [INF-02-11-K-2]

Module Name Context
[INF-02-11-M-2] Artificial Intelligence P: Obligatory 2V+1U, 4.0 LP
[INF-82-62BBS-M-6] Specialization Area WP: Obligation to choose in Obligatory-Modulteil #D (Intelligent Systems) 2V+1U, 4.0 LP
[INF-82-62ITI-M-6] Specialization Area WP: Obligation to choose in Obligation to choose-Modulteil #D (Intelligent Systems) 2V+1U, 4.0 LP
[INF-82-62-M-6] Specialization Area WP: Obligation to choose in Obligation to choose-Modulteil #D (Intelligent Systems) 2V+1U, 4.0 LP
[INF-90-08-M-2] Artificial intelligence (Socioinformatics) P: Obligatory 2V+1U, 4.0 LP
[SO-01-113-M-5] Einführung Computational Social Science P: Obligatory 2V+1U, 4.0 LP
[SO-02-2151-M-6] Wissensmanagement und Technik WP: Obligation to choose 2V+1U, 4.0 LP
[SO-120000-M-6] Wissenschaftsmanagement und Technik P: Obligatory 2V+1U, 4.0 LP