650.040 (24S) Advanced Topics in Artificial Intelligence 1
Überblick
- Lehrende/r
- LV-Titel englisch Advanced Topics in Artificial Intelligence 1
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- LV-Modell Blended-Learning-Lehrveranstaltung
- Online-Anteil 25%
- Semesterstunde/n 4.0
- ECTS-Anrechnungspunkte 6.0
- Anmeldungen 12 (30 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 29.04.2024
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
All the aims of the course "Selected Topics in Machine Learning" (https://campus.aau.at/studium/course/113658).
Plus, develop a deeper knowledge of the course content (by developing a project or analysing a scientific paper).
Lehrmethodik inkl. Einsatz von eLearning-Tools
Classroom instructions mixed with practical exercises.
Inhalt/e
This class covers the same contents as "Selected Topics in Machine Learning (626.017)", plus further lectures on symbolic learning.
The extra lectures aim to support the students in acquiring the appropriate knowledge to develop an advanced project or to analyse a scientific paper.
The concepts needed (knowledge of logic programming, Inductive Logic Programming, etc.) will be taught in class.
Prüfungsinformationen
Prüfungsmethode/n
Written exam (from "Selected Topics in Machine Learning"), plus project presentation.
Prüfungsinhalt/e
For the written exam: all the theoretical concepts in "Selected Topics in Machine Learning".
For the project/analysis of scientific paper: Inductive Logic Programming. Possible tools for implementation will be illustrated during the project lessons.
Beurteilungskriterien/-maßstäbe
Correctness and comprehensiveness of the answers for the written exam.
Correctness, performance and clarity of the project developed.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
-
Fach: Specialisation in Artificial Intelligence and Cybersecurity
(Wahlfach)
-
4.1 Advanced Topics in Artificial Intelligence 1 (
0.0h VC / 6.0 ECTS)
- 650.040 Advanced Topics in Artificial Intelligence 1 (4.0h VC / 6.0 ECTS) Absolvierung im 2., 3. Semester empfohlen
-
4.1 Advanced Topics in Artificial Intelligence 1 (
0.0h VC / 6.0 ECTS)
-
Fach: Specialisation in Artificial Intelligence and Cybersecurity
(Wahlfach)