650.040 (22S) Advanced Topics in Artificial Intelligence 1
Überblick
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- 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 6 (30 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 09.05.2022
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
All the aims of the course "Selected Topics in Machine Learning".
Plus, being able to develop a project based on the concepts seen in the course (mainly using Inductive Logic Programming systems).
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.
The concepts needed to develop the project (knowledge of Prolog, Inductive Logic Programming, etc.) will be taught in class.
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 27th 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: 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)