Program Summer School 2017

	Mon, 25.09.	Tue, 26.09.	Wed, 27.09.	Thu, 28.09.
08.00-09.00	Check-In
09.00-10.30	Welcome breakfast and intro Katharina Morik	A Tale of a Quest for Business Intelligence from Social Data Rakesh Agrawal	Programming Energy-Harvesting-Based Sensor Nodes Olaf Spinczyk	Hands-On: Ultra low power learning Mojtaba Masoudinejad
10.30-11.00	Break	Break	Break	Break
11.00-12.30	Field-programmable technology and machine learning Wayne Luk	Probabilistic Graphical Models Nico Piatkowski	Hands-On: Ultra low power learning Mojtaba Masoudinejad	Tractable Probabilistic Graphical Models Kristian Kersting
12.30-14.00	Lunch on your own	Lunch on your own	Lunch on your own	Lunch on your own
14.00-15.30	Generalised LDPC architectures for high-throughput FPGA realisation Rob Maunder	Probabilistic Graphical Models Nico Piatkowski	Hands-On: Ultra low power learning Mojtaba Masoudinejad	Mobility Models Thomas Liebig
15.30-16.00	Break	Break	Break	Closing
16.00-17.30	Deep Learning Sebastian Buschjäger	Graph Streaming Chris Schwiegelshohn	Hands-On: Ultra low power learning Mojtaba Masoudinejad
17.30-18.00	Break	Break	Break
18.00-19.00	Deep Learning on FPGAs Sebastian Buschjäger	Presentation of student grant awardees Grant awardees	Hands-On: Ultra low power learning Mojtaba Masoudinejad
19.30-		Banquet dinner

Resource-aware Machine Learning - 4th International Summer School 2017