Date: August 3 - 14, 2015
Location: Stocholm, Sweden
Organized by: Royal Institute of Technology (KTH) in conjuction with EIT ICT Labs
The Future Cloud Summer School 2015 will be held the first week (from August 3 to 9) at Bergendal, and the second week (from August 10 to 14) at EIT-ICT Labs Stockholm Co-location Center.
The FCSS is a two weeks event open to EIT-ICT Labs MSc students and EU Marie Curie ITN "iSocial" fellows as well as PhD students and postdocs from Europe. Students following this school will attend lectures from leading researchers and practitioners from academia and industry. The FCSS also includes a business proposal competition organized between student groups. Moreover, FCSS organizes the Big Data Analytics seminar on Friday, August 7, which is an open one-day, high quality event focusing on Cloud business and technology and opened to a large audience. The goal of this summer school is to teach advanced topics related to algorithms and platforms for Big Data as well as to enhance the innovation and entrepreneurial awareness among students. The FCSS will cover both presentations by researchers on Big Data analytics and platforms as well as presentations by company experts on business models. Through the two weeks students will work in teams of two to four on problems that will be initiated by leading European companies working on Big Data.
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Monday August 3 |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
Sunday |
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| 8:00-9:00 |
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I&E Breakfast Project selection and review, BMC and lean methods
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I&E Breakfast Importance of roles in teams and hiring
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I&E Breakfast Overview of business models in the cloud space
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I&E Breakfast The perfect pitch
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I&E Breakfast Summary of first week |
Social Event (Kayaking, Hiking) |
| 9:00-10:00 |
Welcome Speech Speaker: Seif Haridi (KTH/SICS, Sweden) (slides)
Introduction to the I&E |
Hadoop Ecosystem Speaker: Sameh Al-Ansary (Nile University, Egypt) (slides) |
Big Data Management and Apache Flink, Speaker: Volker Markl (TU Berlin, Germany) (slides) |
SPARK Speaker: Paco Nathan (Databricks, USA) (slides) |
EIT ICT Labs Speaker: Janne Järvinen |
Data Stream Processing Speakers: Paris Carbone and Gyula Fora (SICS, Sweden) (slides) |
Social Event |
| Coffee Break | |||||||
| 10:20-11:00 |
Big Data at Spotify Speaker: Anders Arpteg (slides)
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Hadoop Ecosystem Speaker: Sameh Al-Ansary (Nile University, Egypt) |
FLINK Speakers: Ufuk Celebi and Max Michels (Data Artisans, Germany) (slides1) (slides2) (lab) |
SPARK Speaker: Paco Nathan (Databricks, USA) |
Big Data and Deep Learning: Scalability and Fault Tolerance of Parallel and Distributed Infrastructures Speaker: Divyakant Agrawal (UCSB, USA) (slides) |
Streaming Speakers: Paris Carbone and Gyula Fora (SICS, Sweden) (slides) (labs) |
Social Event |
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11:00-11:45 |
Company presentation by Ericsson Speaker: Rickard Cöster |
Hadoop Ecosystems Speaker: Sameh Al-Ansary |
FLINK Speakers: Ufuk Celebi and Max Michels (Data Artisans, Germany)
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SPARK Speaker: Paco Nathan (Databricks, USA) |
Mining Democracy, Speaker: Matthias Grossglauser (EPFL, Switzerland) (slides) |
Stateful distributed dataflow graphs Speaker: Peter Pietzuch (Imperial College, London UK) (slides) |
Social Event |
| 11:45-12:30 |
Company presentation by Augify, Speaker: Jay Solomon (slides)
Company presentation by by Mentimeter, Speaker: Jonny Varström (slides) |
Hadoop Ecosystems Speaker: Sameh Al-Ansary |
FLINK Speakers: Ufuk Celebi and Max Michels (Data Artisans, Germany) |
SPARK Speaker: Paco Nathan (Databricks, USA) |
Mining Democracy, Speaker: Matthias Grossglauser (EPFL, Switzerland) |
Stateful distributed dataflow graphs Speaker: Peter Pietzuch (Imperial College, London UK) |
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| Lunch | |||||||
| 14:00-15:00 |
Company presentation by Karriärföretagen, Speaker: Per Rundblom (slides ) Company and case presentation by Novartis, Speaker: Jean-Michel Gaullier (slides)
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Locality-Sensitive Hashing - Part 1 Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
FLINK Speakers: Ufuk Celebi and Max Michels (Data Artisans, Germany) |
Clustering Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Using Social Media for Health Studies, Speaker: Ingmar Weber (QCRI, Qatar) (slides) |
Machine Learning Speaker: Anders Holst (SICS, Sweden) (slides) (labs) |
Social Event |
| 15:00-16:00 | Company presentation by Skillable, Speaker: Marcello Grita (slides) |
Locality-Sensitive Hashing - Part 2 Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Counting Distinct Elements in a Stream Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Graph Algorithms Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Google Cloud DataFlow Speaker: Cosmin Arad (Google USA) (slides) |
Machine Learning Speaker: Anders Holst (SICS, Sweden) |
Social Event |
| Coffee Break | |||||||
| 16:30-17:30 | Team formation and Case selection |
Sampling and Filtering Data Streams Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Page Rank Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Designing Good MapReduce Algorithms Speaker: Jeffry D. Ullman (Stanford, USA) (slides) |
Google Cloud DataFlow Speaker: Cosmin Arad (Google USA) |
SPARK Machine Learning Speaker: Paco Nathan (Databricks, USA) (slides) |
Social Event |
| 17:30-18:30 |
Homework
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Social Event | |||||