Program

Overview

The schedule of the summer school is as follows.

  • Monday, July 31st, 2017:
    Introduction of the participants; Lecture on crowdsourcing.
  • Tuesday, August 1st, 2017:
    Lectures on participatory sensing, security in IoT; Subjective assessments in mobile crowdsourcing.
  • Wednesday, August 2nd, 2017:
    Lectures and hands-on session on IoT applications; Quality of Exerience in the IoT context.
  • Thursday, August 3rd, 2017:
    Lecture and hands-on session on applied machine learning; Industry talk.
  • Friday, August 4th, 2017:
    Lecture and hands-on session fog computing for IoT applications; Presentation of the group work results.

Every day, the program starts at 9:00 and will end at about 16:30. During the day there will be two short breaks one in morning and one in the afternoon. Additionally, there is a lunch break around noon.

  • 9:00 - 10:30: Lecture
  • 10:30 - 11:00: Break
  • 11:00 - 12:30: Lecture / Hands-on session
  • 12:30 - 14:00: Lunch
  • 14:00 - 15:30: Lecture / Hands-on session
  • 15:30 - 15:45: Break
  • 15:45 - 16:30: Group Work

Detailed Time Schedule

Monday, July 31st, 2017 Activity
9:00 - 9:45 Welcome & Intro
9:45 - 10:30 Madness Session
  Break
11:00 - 11:45 Madness Session
11:45 - 12:30 Poster Presentation
  Lunch
14:00 - 14:45 (Lecture) Design & Application of Crowdsourcing Studies - Lessons Learned and Best Practices
14:45 - 15:30 (Lecture) Design & Application of Crowdsourcing Studies - Lessons Learned and Best Practices
  Break
15:45 - 16:30 Group Work
Tuesday, August 1st, 2017  
9:00 - 9:45 (Lecture) Participatory Sensing in Urban Environments
9:45 - 10:30 (Lecture) Participatory Sensing in Urban Environments
  Break
11:00 - 11:45 (Lecture) Challenges for Security and Cryptography for the IoT
11:45 - 12:30 (Lecture) Challenges for Security and Cryptography for the IoT
  Lunch
14:00 - 14:45 (Lecture) Subjective Speech Quality Assessment using Mobile Crowdsourcing
14:45 - 15:30 (Lecture) Subjective Speech Quality Assessment using Mobile Crowdsourcing
  Break
15:45 - 16:30 Group Work
Wednesday, August 2nd, 2017  
9:00 - 9:45 (Lecture) Practical IoT and Crowdsensing Considerations
9:45 - 10:30 (Lecture) Practical IoT and Crowdsensing Considerations
  Break
11:00 - 11:45 (Hands-On) Practical IoT and Crowdsensing Considerations
11:45 - 12:30 (Hands-On) Practical IoT and Crowdsensing Considerations
  Lunch
14:00 - 14:45 (Lecture) Quality of Experience for IoT Applications and Services
14:45 - 15:30 (Lecture) Quality of Experience for IoT Applications and Services
  Break
15:45 - 16:30 Group Work
Thursday, August 3rd, 2017  
9:00 - 9:45 (Lecture) Applied Machine Learning
9:45 - 10:30 (Lecture) Applied Machine Learning
  Break
11:00 - 11:45 (Lecture) Applied Machine Learning
11:45 - 12:30 (Hands-On) Applied Machine Learning
  Lunch
14:00 - 14:45 (Hands-On) Applied Machine Learning
14:45 - 15:30 (Hands-On) Applied Machine Learning
  Break
15:45 - 16:30 (Industry talk) Building a Cloud Platform for the Internet of Things – The Bosch IoT Cloud
16:30 - 17:15 (Industry talk) Building a Cloud Platform for the Internet of Things – The Bosch IoT Cloud
Friday, August 4th, 2017  
9:00 - 9:45 (Lecture) Fog Computing for IoT Applications
9:45 - 10:30 (Lecture) Fog Computing for IoT Applications
  Break
11:00 - 11:45 (Hands-On) Fog Computing for IoT Applications
11:45 - 12:30 (Hands-On) Fog Computing for IoT Applications
  Lunch
14:00 - 14:45 Group Work
14:45 - 15:30 Group Presentation
  Break
15:45 - 16:30 Group Presentation & Wrap-Up