Proseminar: Novel advances in Data Science

  • Typ: Proseminar (PS)
  • Lehrstuhl: KIT-Fakultäten - KIT-Fakultät für Informatik - Institut für Programmstrukturen und Datenorganisation - IPD Böhm
  • Semester: WS 21/22
  • Dozent: Prof. Dr.-Ing. Klemens Böhm
    Moritz Renftle
    Dr.-Ing. Vadim Arzamasov
    Pawel Bielski
    Bela Böhnke
  • SWS: 2
  • LVNr.: 2400109
  • Hinweis: Online
Content

The focus of our research group is on scalable techniques for data management and analytics. Our work targets at the synthesis of conceptual research results with prototypical deployments in different domains. In this proseminar we focus on fundamental concepts of recent topics including representation of expert knowledge, applications for cloud monitoring and energy systems, machine learning (ML) techniques for solving differential equations, describing results of ML models, feature extraction, sample-efficient reinforcement learning, and combining domain knowledge with ML.


Organisational issues

 Die Anmeldung erfolgt über https://portal.wiwi.kit.edu/ 
Das Kickoff Meeting findet voraussichtlich in der 1. Vorlesungswoche statt.