621.062 (20W) Introduction to Artificial Intelligence II
Overview
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
- Lecturer
- Course title german Einführung in die Artificial Intelligence II
- Type Lecture - Course (continuous assessment course )
- Course model Online course
- Hours per Week 2.0
- ECTS credits 3.0
- Registrations 22 (30 max.)
- Organisational unit
- Language of instruction German
- Course begins on 06.10.2020
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
Students should recognize the issue of uncertainty inherent in many Artificial Intelligence applications, understand basic methods for dealing with this issue and learn to adopt and comprehend concrete algorithms that implement these methods. The focus in the first half of the semester will be on reasoning under uncertainty, whereas the second half will deal with learning.
Teaching methodology including the use of eLearning tools
Lecture mixed with practical home and in-class exercises. Slides will be in English. Teaching language will be German unless there are non-German-speaking participants, otherwise English.
eLearning
Moodle
Course content
Provides an introduction to selected methods for dealing with uncertainty in Artificial Intelligence and Knowledge-Based Systems.
Topics
- Uncertainty in AI Systems
- Bayesian Inference and Bayesian Networks
- Unsupervised Machine Learning
- Supervised Machine Learning
Literature
Adnan Darwiche. Modeling and Reasoning with Bayesian Networks. Cambridge University Press. 2009 P.
Tan, M. Steinbach, V. Kumar. Introduction to Data Mining. Pearson. 2006
Stuart Russell and Peter Norvig: Artificial Intelligence: A modern approach. Prentice Hall, 2009
Judea Pearl: Probabilistic Reasoning in Intelligent Systems - Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc. 1988
D. Koller, N. Friedman. Probabilistic Graphical Models: Principles and Techniques. The MIT Press. 2009
D. Barber. Bayesian Reasoning and Machine Learning. Cambridge University Press. 2012
T. Mitchell. Machine Learning. McGraw Hill. 1997
Examination information
Grading scheme
Grade / Grade grading schemePosition 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 II (
2.0h VC / 3.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 3.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
7.3 Einführung in die Artificial Intelligence II (
2.0h VC / 3.0 ECTS)
-
Subject: Vertiefung Informatik
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 17W.1)
-
Subject: Medieninformatik
(Compulsory elective)
-
4.2 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
4.2 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
-
Subject: Medieninformatik
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 17W.1)
-
Subject: Natural Language Processing
(Compulsory elective)
-
5.3 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
5.3 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
-
Subject: Natural Language Processing
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 17W.1)
-
Subject: Software Development
(Compulsory elective)
-
6.3 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
6.3 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
-
Subject: Software Development
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 17W.1)
-
Subject: Business Informatics
(Compulsory elective)
-
7.3 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
7.3 Uncertain Knowledge: Reasoning and Learning (
2.0h VC / 4.0 ECTS)
-
Subject: Business Informatics
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 12W.1)
-
Subject: Media Informatics
(Compulsory elective)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Media Informatics
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 12W.1)
-
Subject: Natural Language Processing
(Compulsory elective)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Natural Language Processing
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 12W.1)
-
Subject: Software Development
(Compulsory elective)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Software Development
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 12W.1)
-
Subject: Business Informatics
(Compulsory elective)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Business Informatics
(Compulsory elective)
- Master's degree programme Applied Informatics
(SKZ: 911, Version: 13W.1)
-
Subject: Vertiefung Informatik
(Compulsory subject)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Vertiefung Informatik
(Compulsory subject)
- Master's degree programme Information Management
(SKZ: 922, Version: 13W.2)
-
Subject: Informatik
(Compulsory subject)
-
1.1 Knowledge Engineering für Informationsmanagement (
2.0h KS / 4.0 ECTS)
- 621.062 Introduction to Artificial Intelligence II (2.0h VC / 4.0 ECTS)
-
1.1 Knowledge Engineering für Informationsmanagement (
2.0h KS / 4.0 ECTS)
-
Subject: Informatik
(Compulsory subject)
Equivalent courses for counting the examination attempts
- Sommersemester 2024
-
Wintersemester 2023/24
- 621.062 VC Introduction to Artificial Intelligence 2 (2.0h / 3.0ECTS)
-
Sommersemester 2023
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)
-
Wintersemester 2022/23
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)
-
Sommersemester 2022
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)
-
Wintersemester 2021/22
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)
-
Sommersemester 2021
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)
-
Sommersemester 2020
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)
-
Wintersemester 2019/20
- 621.062 VC Einführung in die Artificial Intelligence II (2.0h / 3.0ECTS)