META-2025-ALL-IF | 27th International Informatica Feminale (in English) Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing ECTS: 1-3 (je Kurs/for every course) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester (…) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2025 sowie im Wintersemester 2025/26 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de. 60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2025 as well as in winter semester 2025/26. Further information, schedules and registration only on the website https://www.informatica-feminale.de. You can find course dates and further information in Stud.IP. | Veronika Oechtering Henrike Illig |
03-IBVP-AKR | Actionable Knowledge Representation (in English) Die Veranstaltung findet im TAB in Raum 0.30 statt. https://lvb.informatik.uni-bremen.de/ibv/03-ibvp-akr.pdf
This course deals with the idea of bringing knowledge into applications to support users in daily life. It therefore covers topics on how knowledge can be represented to be machine-understandable, how knowledge can be acquired from different sources (including Web scraping) and how such different knowledge chunks can be linked. It will further discuss how to reason about knowledge and how different agents like websites, AR applications or robots can use knowledge to support users in their daily life. All exercises will be available in platform-independent jupyter notebooks based on python and have low software requirements. You can find course dates and further information in Stud.IP. | Robert Porzel Michaela Kümpel |
03-IBAP-MLe | Fundamentals of Machine Learning (in English) You can find course dates and further information in Stud.IP. | Tanja Schultz Felix Putze Zhao Ren |