Conversational Artificial Intelligence
| Lecturer: | Prof. Dr.-Ing.Matthias Kraus |
| Assistants: | Jan Leusmann, Sophia Sakel |
| ECTS: | 6ECTS |
| Modul: | Vertiefende Themen der Informatik/Medieninformatik Master (Hauptfach Medieninformatik) (MA MI PStO 2022 (Start WiSe)) / (MA MI PStO 2022 (Start SoSe)) |
Teaching Format & Content
The lecture and the tutorials will take place in presence. Registration and grading is performed via Moodle (password: cai_ss24). In this course, students will learn how to implement conversational agents. The lecture will teach the theoretical foundations, and in the tutorials, the students will, in groups, implement their own chatbots for specific topics. The final grade will consist of a project and an exam grade.
Prerequisites
The course is designed for master students studying mediainformatics who have taken those following courses (recommended) or have equivalent knowledge:- TBD
Further details regarding study plan can be found in Semesterplanung.
Dates and Locations
- Lecture:
Date: Wednesdays 14:00 - 16:00 c.t.
Location: Frauenlobstr. 7A, Room 357 - Tutorial:
Date: Tuesdays 14:00-16:00 c.t.
Location: Frauenlobstr. 7A, Room 357
Lecture Schedule
Lecture topics are subject to change.| Date | Topic |
|---|---|
| 17.04.2023 | Lecture 1: Introduction |
| 24.04.2023 | Lecture 2: NLU |
| 01.05.2023 | No Lecture |
| 08.05.2023 | Lecture 3: Dialogue Introduction |
| 15.05.2023 | Lecture 4: Dialogue Models |
| 22.05.2023 | Lecture 5: Statistical DM |
| 29.05.2023 | No Lecture |
| 05.06.2023 | Lecture 6: Statistical DM |
| 12.06.2023 | Lecture 7: LLM |
| 19.06.2023 | Lecture 8: LLM |
| 26.06.2023 | Lecture 9: User Modelling and Adaptation |
| 03.07.2023 | Lecture 10: User Modelling and Adaptation |
| 10.07.2023 | Lecture 11: Design and Evaluation |
| 17.07.2023 | QA-Exam |
Tutorial Schedule
| Date | Topic |
|---|---|
| 23.04.2023 | Introduction of Projects & Topics |
| 30.04.2023 | Project & Paper presentations |
| 07.05.2023 | Introduction RASA & Tech Stack - Deadline Group Registration |
| 14.05.2023 | No Tutorial |
| 21.05.2023 | No Tutorial |
| 28.05.2023 | Working Session |
| 04.06.2023 | Project Concept Presentations |
| 11.06.2023 | Working Session |
| 18.06.2023 | Project Tech Presentations - Deadline MVP Upload |
| 25.06.2023 | Working Session |
| 02.07.2023 | Working Session |
| 09.07.2023 | Working Session |
| 16.07.2023 | Final Presentations |
Contents and target group
After successfully completing this module, students will have a general understanding of multimodal speech dialogue technology. multimodal speech dialogue technology. They will acquire knowledge of the fundamentals of speech processing and understand basic problems of speech synthesis, speech recognition, semantic analysis and dialogue modelling. dialogue modelling. Their knowledge is deepened by the presentation of current techniques, selected solutions, applications and products. solutions, applications and products. Students will understand the interdisciplinary nature of the field of research.
