650.040 (21S) Advanced Topics in Artificial Intelligence 1
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch Advanced Topics in Artificial Intelligence 1
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- LV-Modell Onlinelehrveranstaltung
- Semesterstunde/n 4.0
- ECTS-Anrechnungspunkte 6.0
- Anmeldungen 11 (30 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 24.05.2021
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
All the aims of the course "Selected Topics in Machine Learning (626.017)".
Plus, being able to develop a project based on the concepts seen in the course (mainly using logic programming systems, like Prolog).
Lehrmethodik inkl. Einsatz von eLearning-Tools
Classroom instructions mixed with practical exercises.
Inhalt/e
This class covers the same contents of "Selected Topics in Machine Learning (626.017)", plus further lectures on practical applications.
The extra lectures aim to support the students in developing an advanced project, which applies the course concepts for AI problems (e.g., planning, search, etc.).
Prüfungsinformationen
Geänderte Prüfungsinformationen (COVID-19 Ausnahmeregelung)
The written exam will be held in presence at the end of the lecture period if the COVID-19 situation has sufficiently improved by then, or a virtual exam will be organized otherwise.
The project will be presented online on the 28th of June.
Prüfungsmethode/n
Written exam (from "Selected Topics in Machine Leaning"), plus project presentation.
Prüfungsinhalt/e
For the written exam: all the theoretical concepts in "Selected Topics in Machine Leaning".
For the project: it has to cover the topics of "Selected Topics in Machine Leaning". Possible tools for implementation to use are 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)