Communication and Distributed Systems

Seminar Spring Semester 2017 (BA/MSc students)

Organization

Prerequisite

Basic knowledge in computer networks as e.g., obtained in the bachelor lecture Computernetzwerke.

Target Group

Bachelor, Master students who have to give a talk in the FS2017 semester.

Content

The seminar is composed of presentations about current research topics that are investigated in the context of bachelor, master works. Bachelor students may take the seminar as "Proseminar". In this case, the students and the seminar supervisor must agree upon the topic beforehand.

Remarks

  • The seminar is composed of presentations about current research topics that are investigated in the context of bachelor, master or PhD works. Bachelor students may take the seminar as "Proseminar". In this case, the students and the seminar supervisor must agree upon the topic beforehand.
  • Presenters may announce their preferred presentations dates to the coordinator. Presentation titles should be announced prior to the presentation. After the presentation, the presenters may forward their slides to the coordinator for publication on this web site.
  • Please limit seminar talks to 25-30 minutes such that there is enough time for discussion/questions (10-15 min)

Schedule of the Spring Semester 2017

 Date Name  Title 
08.15-08.45 Dominic Kohler Bachelor Thesis: Predicting Future Locations of Mobile Users (final presentation)
08.45-09.15 Thomas Kolonko Bachelor thesis: Multipath Transmission for Content-Centric Networking in Vehicular ad-hoc Networks (final presentation)
 09.15-09.45 Matthias Bachtler Bachelor thesis: Cell phone indoor localization using a Kalman Filter
 09.45-10.15 Steve Mürset Bachelor thesis: TensorFlow for Indoor localization
 10.15-10.30 Break
 10.30-11.00 Patrick Hodel Bachelor thesis: Indoor localization with iBeacon
 11.00-11.30 Lucien Madl Bachelor thesis: Energy profiling of Fog-based Indoor Positioning System
 11.30-12.00 Stefan Serena Bachelor thesis: Arduino-based Indoor Positioning
 12.00-12.30 Joel Niklaus Bachelor thesis: WEKA-based Machine Learning for Indoor Localization