Marie Curie Initial Training Networks

Future Cloud Summer School (FCSS), 3 - 14 August 2015. Stocholm

 

 

Date: August 3 - 14, 2015

Location: Stocholm, Sweden

Organised by: Royal Institute of Technology (KTH) in conjuction with EIT ICT Labs

Link: http://ictlabs-summer-school.sics.se/

 

Agenda     Photos

 

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.

                                           

Monday

August 3

Tuesday
August 4

Wednesday
August 5

Thursday
August 6

Friday
August 7

Saturday
August 8

Sunday
August 9

8:00-9:00

 

I&E Breakfast

Project selection and review, BMC and lean methods

 

I&E Breakfast

Importance of roles in teams and hiring

 

I&E Breakfast

Overview of business models in the cloud space

 

I&E Breakfast

The perfect pitch

 

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
Speakers: Björn Hovstadius and Boris Nordenström (slides)

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)

 

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

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)

 

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) 

 
Lunch
14:00-15:00

Company presentation  by Karriärföretagen, Speaker: Per Rundblom (slides)

Company and case presentation by Novartis, Speaker: Jean-Michel Gaullier (slides)

 

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

 

Social Event

 

2. Photos

 

 

 

 

  

  

 
 
 
 
 
 
 

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