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Lehrangebot in diesem Semester
Im Folgenden finden Sie das Lehrangebot unseres Fachgebiets in diesem Semester, gegliedert nach Vorlesungen, Seminaren, Übungen und Praktika. Über die roten Veranstaltungslinks erhalten Sie jeweils nähere Informationen zu den Veranstaltungen (nach der Anmeldung in Stud.IP). Ein Anmeldung zu den Veranstaltungen müssen Sie in Stud.IP vornehmen. Dort sind auch alle Materialien für die Veranstaltungen hinterlegt. Die Veranstaltungen unseres Fachgebiets in Stud.IP sind alle ohne Passwort zugänglich.
Begleitseminar zum Studienprojekt: DreamGuard: A Web Application for restful Nights (Part I)
Prof. Dr. Gordon Pipa
M. Sc. Katharina Lüth
Veranstaltungstyp: Seminar
TeilnehmerInnen:
Beschreibung:
This is the accompanying seminar to the study project. for details see the studIP course "DreamGuard"
In this study project, we want to build a web application treating nightmares with the current state-of-the-art treatment imagery rehearsal therapy. In the past, a similar approach was conducted based on static and/or human feedback. Already this helped people to restructure their dream content and to turn nightmares in less impactful dreams with neutral or even positive emotional content. In contrast to past approaches we also want to use machine learning to provide automatic feedback to the users. By using NLP, we want to rephrase dream content reports, offer the application to a large number of people from various countries based on automatic translation and also categorise the dream content automatically.
Erstes Treffen:
Ort: nicht angegeben
Semester: SoSe 2024
Zeiten:
Leistungsnachweis:
Veranstaltungsnummer:
8.3086
ECTS-Kreditpunkte:
6
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)
Prof. Dr. Gordon Pipa
M. Sc. Katharina Lüth
Veranstaltungstyp: Seminar
TeilnehmerInnen:
Beschreibung:
This is the accompanying seminar to the study project. for details see the studIP course "DreamGuard"
In this study project, we want to build a web application treating nightmares with the current state-of-the-art treatment imagery rehearsal therapy. In the past, a similar approach was conducted based on static and/or human feedback. Already this helped people to restructure their dream content and to turn nightmares in less impactful dreams with neutral or even positive emotional content. In contrast to past approaches we also want to use machine learning to provide automatic feedback to the users. By using NLP, we want to rephrase dream content reports, offer the application to a large number of people from various countries based on automatic translation and also categorise the dream content automatically.
Erstes Treffen:
Ort: nicht angegeben
Semester: SoSe 2024
Zeiten:
Leistungsnachweis:
Veranstaltungsnummer:
8.3086
ECTS-Kreditpunkte:
6
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)
