621.061 (23S) Introduction to Artificial Intelligence I

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Sommersemester 2023

Registration deadline has expired.

First course session
02.03.2023 14:00 - 16:00 On Campus

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Overview

Lecturer

Univ.-Prof. Dr. Martin Gebser

Course title german

Einführung in die Artificial Intelligence I

Type

Lecture - Course (continuous assessment course )

Course model

Attendance-based course

Hours per Week

2.0

ECTS credits

3.0

Registrations

54 (30 max.)

Organisational unit

Institut für Artificial Intelligence und Cybersecurity

Language of instruction

English

possible language(s) of the assessment

German , English

Course begins on

02.03.2023

eLearning

Go to Moodle course

Remarks (english)

Online participation in the course will be possible via Moodle and BigBlueButton.

Time and place

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Intended learning outcomes

Provides an introduction to general problem solving methods used in artificial intelligence and knowledge-based systems. The course presents a variety of search approaches as well as modern knowledge representation and reasoning systems implementing them.

Teaching methodology

Classroom instructions mixed with practical exercises. The teaching language is English or German depending on the preferences of the audience. The slides are in English.

Course content

Covered topics include:

Uninformed and informed search methods
Overview of incomplete (local) approaches to solving hard problems
Knowledge representation and reasoning with constraints programming
MiniZinc programming language
Game playing

Prior knowledge expected

Algorithms and data structures

Curricular registration requirements

Nothing

Literature

Stuart Russell and Peter Norvig: Artificial Intelligence: A modern approach. Prentice Hall, 2009
Rina Dechter: Constraint Processing. Morgan Kaufmann Publishers, 2003
Stefan Edelkamp and Stefan Schrödl: Heuristic search: theory and applications. Elsevier, 2011

Intended learning outcomes

Teaching methodology

Classroom instructions mixed with practical exercises. The teaching language is English or German depending on the preferences of the audience. The slides are in English.

Course content

Covered topics include:

Uninformed and informed search methods
Overview of incomplete (local) approaches to solving hard problems
Knowledge representation and reasoning with Constraints Programming
MiniZinc programming language
Game playing

Prior knowledge expected

Algorithms and data structures

Curricular registration requirements

Nothing

Literature

Stefan Edelkamp and Stefan Schrödl: Heuristic search: theory and applications. Elsevier, 2011
Rina Dechter: Constraint Processing. Morgan Kaufmann Publishers, 2003
Stuart Russell and Peter Norvig: Artificial Intelligence: A modern approach. Prentice Hall, 2009

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

English

Examination methodology

Written exam (end of semester), short tests (during the semester), active participation (bonus)

Examination topic(s)

Topics covered in the module, but in particular logic, planning, constraint satisfaction, heuristic search, uncertain reasoning.

Assessment criteria / Standards of assessment for examinations

Points obtained from short tests, the exam and active participation will be incorporated in the final grade. A possible scheme (subject to appropriate calibration) is to add together up to

3 x 20 points for short tests
210 points for the exam
active participation points (e.g., demonstration of exercise solutions)

Then grade 1 will match between 180 and 200 points, grade 4 between 100 and 120 points, and the other grades gradually distributed between the top and the bottom.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 19W.2)
- Subject: Vertiefung Informatik (Compulsory elective)
  - 7.3 Einführung in die Artificial Intelligence I ( 2.0h VC / 3.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)
      Absolvierung im 4., 5., 6. Semester empfohlen

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
- Subject: Medieninformatik (Compulsory elective)
  - 4.1 Heuristic Search ( 2.0h VC / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
- Subject: Natural Language Processing (Compulsory elective)
  - 5.2 Heuristic Search ( 2.0h VC / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
- Subject: Software Development (Compulsory elective)
  - 6.2 Heuristic Search ( 2.0h VC / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
- Subject: Business Informatics (Compulsory elective)
  - 7.2 Heuristic Search ( 2.0h VC / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
- Subject: Media Informatics (Compulsory elective)
  - Knowledge Engineering ( 2.0h VO / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
- Subject: Natural Language Processing (Compulsory elective)
  - Knowledge Engineering ( 2.0h VO / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
- Subject: Software Development (Compulsory elective)
  - Knowledge Engineering ( 2.0h VO / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
- Subject: Business Informatics (Compulsory elective)
  - Knowledge Engineering ( 2.0h VO / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Master's degree programme Applied Informatics (SKZ: 911, Version: 13W.1)
- Subject: Vertiefung Informatik (Compulsory subject)
  - Knowledge Engineering ( 2.0h VO / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 2.0 ECTS)

Master's degree programme Mathematics (SKZ: 401, Version: 18W.1)
- Subject: Informatics (Compulsory elective)
  - 8.5 Heuristic Search ( 2.0h VC / 2.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 2.0 ECTS)

Bachelor's degree programme Robotics and Artificial Intelligence (SKZ: 295, Version: 22W.1)
- Subject: Artificial Intelligence (Compulsory subject)
  - 4.1 Introduction to Artificial Intelligence I ( 2.0h VC / 3.0 ECTS)
    - 621.061 Introduction to Artificial Intelligence I (2.0h VC / 3.0 ECTS)

Equivalent courses for counting the examination attempts

Sommersemester 2024

621.061 VC Introduction to Artificial Intelligence 1 - Group A (2.0h / 3.0ECTS)
621.063 VC Introduction to Artificial Intelligence 1 - Group B (2.0h / 3.0ECTS)

Wintersemester 2023/24

621.061 VC Introduction to Artificial Intelligence 1 - Group A (2.0h / 3.0ECTS)
621.063 VC Introduction to Artificial Intelligence 1 - Group B (2.0h / 3.0ECTS)
621.065 VC Introduction to Artificial Intelligence 1 - Group C (2.0h / 3.0ECTS)

Wintersemester 2022/23

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)

Sommersemester 2022

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)

Wintersemester 2021/22

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)

Sommersemester 2021

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)

Wintersemester 2020/21

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)

Sommersemester 2020

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)

Wintersemester 2019/20

621.061 VC Einführung in die Artificial Intelligence I (2.0h / 3.0ECTS)