Applied Artificial Intelligence Project
Ziele und Inhalte
After successfully finishing this module, the participating students have
- well-founded knowledge in an application domain
- hands-on experiences in applying methods from the field of Artificial Intelligence to challenging problems of the future society
- improved their capacity for teamwork and competence in project management
- improved presentation and writing skills.
This module addresses challenges in one of the following domains with accompanying topics, such as:
- eGovernment: exploitation of Linked Open Data, application of enterprise management systems in administration offices, analysis of Big Data for the improvement of public services.
- Energy: energy patterns in households or the operation of smart micro grids.
- Production: cyberphysical systems and the Internet of Things facilitate another breakthrough in industry production. The smart factory is characterised by resource efficiency, flexibility and customer centricity.
- Health care: surveillance and information services based on sensor data, better patient compliance throug IT, early diagnosis of diseases by analysis of social media streams, ambient assisted living for the elder generation.
- Logistics and Transport: traffic flow analysis and forecasting, and control; car sharing; intermodal public transport routing. The projects may be applied in close collaboration with companies and public authorities in the greater region of Berlin.
Modulbestandteile (9 LP Projekt)
| LV-Titel | LV-Art | SWS | LP | Semester |
| Applied Artificial Intelligence Project | PJ | 4 | 9 | WiSe & SoSe |
Prüfungselemente
| Name | Points | Categorie | Duration/Extent |
| Final Presentation | 20 | oral | 1 hour |
| Milestone Presentation | 10 | oral | 1 hour |
| Project Results | 50 | practical | 13 weeks |
| Requirements Specification | 10 | written | approx. 10 pages |
| Status Reports | 10 | flexible | 0.5 hours per week |
Verwendbarkeit
- Computer Engineering (Master of Science)
- Computer Science (Informatik) (Master of Science)
- Elektrotechnik (Master of Science)
- Medieninformatik (Master of Science)
- Technische Informatik (Master of Science)
- Wirtschaftsinformatik / Information Systems Management (Master of Science)
- Wirtschaftsingenieurwesen (Master of Science)
Legende
- IV: Integrierte Lehrveranstaltung (VL + UE)
- LV: Lehrveranstaltung
- P: Pflichtbestandteil eines Moduls (muss belegt werden)
- PJ: Projekt. Methodenvermittlung und Systemeinführung zur Projektarbeit, Entwicklungs-, Dokumentations- und Kommunikationswerkzeugen. Wöchentliche Projektbesprechungen. Projektarbeit in Kleingruppen. Milestones. Abschlusspräsentation.
- SE: Seminar. Literaturarbeit und schriftliche Ausarbeitung unter Anleitung. Vorstellung der Ergebnisse in einem 20 minütigen Vortrag im Plenum.
- SoSe: Sommersemester
- UE: Übung. Vertiefung des Vorlesungsstoffs, Lehrgespräche zur Besprechung der Übungsaufgaben, Gruppenarbeit zur Bearbeitung der Übungsaufgaben.
- VL: Vorlesung
- WiSe: Wintersemester
- WP: Wahlpflichtbestandteil eines Moduls. Eine der Wahlpflichtveranstaltungen des Moduls muss belegt werden.
Copyright TU Berlin 2007