[agents] Big Data and Analytics Summer School 2015, 24-28 August, University of Essex, UK

[Fasli, Maria]

ESSEX BIG DATA AND ANALYTICS SUMMER SCHOOL 2015
Institute for Analytics and Data Science
24th – 28th August 2015
University of Essex
Wivenhoe Park, CO4 3SQ
Colchester
United Kingdom

http://www.essex.ac.uk/iads/events/sumer-school.aspx<http://www.essex.ac.uk/iads/events/sumer-school.aspx>

Data is the gold rush for the 21st Century. Smart phones, social media, the Internet, apps, devices, sensors, smart cards, telematics and GPS are changing how we interact with the world around us and each other. Some predictions put the rate of growth of data between 2013 to 2020 at over 200% a year with an estimate that by 2020 there will be more than 16 zettabytes of useful data (16 trillion GB). The big data and analytics market is growing six times faster than the ICT market, according to the IDC.

The Essex Big Data and Analytics Summer School is being organised by the Institute for Analytics and Data Science<http://www.essex.ac.uk/iads/> (IADS) at the University of Essex UK and is open to both internal and external delegates.  The summer school is for graduates, postgraduates, researchers and professionals in the emerging fields of big data, data science and analytics who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field.

Whether you are interested in the curation and management of big data, advanced techniques and methods including artificial intelligence and statistical methods, or applications of big data in fields ranging from business and finance to bioinformatics, you will find a set of relevant courses for you.

Courses
Courses are available covering a wide range of topics from multiple perspectives. They are being delivered by experts in that field, internal and external, academic and professional.  Each of the 22 courses will be 4-8 hours in length and courses are available at various levels. They will be delivered in parallel over the five days and you can choose the courses of most interest to create your own programme of study. Course titles and providers are as below:

BD001 – Introduction to R, Prof. Leonard Schalkwyk, University of Essex
BD002 – Big Data Methods in R, Mr. Szymon Walkowiak, University of Essex
BD003 – Science and Big Data, Dr Andrew Harrison, University of Essex
BD004 – Clustering and Classification with Applications in R, Prof. Berthold Lausen, University of Essex
BD005 – Bayesian Computational Methods with Applications in R, Dr. Hongsheng Dai, University of Essex
BD006 – Actuarial/Financial Modelling with Applications in R, Dr. Spyros Vrontos, University of Essex
BD007 – Introduction to Data Mining, Dr. Beatriz de la Iglesia, University of East Anglia (UEA)
BD008 – A (gentle) Introduction to Reinforcement Learning, Mr. Spyros Samothrakis, University of Essex
BD009 – Search in Big Data, Mr. Allan Hanbury, University of Vienna
BD010 – Practical Sentiment Analysis, Practical Sentiment Analysis, Dr. Diana Maynard, University of Sheffield
BD011 – High Performance Computing, Dr. Adrian Clark, University of Essex
BD012 – Data Protection and Liability in the Age of Big Data and Analytics, Dr. Audrey Guinchard, University of Essex
BD013 – Managing, Curating and Publishing Data, Dr.Sharon Bolton/Ms. Louise Corti, University of Essex
BD014 – Secure Access Protocols for Big Data, Mr.Richard Welpton/Dr. Libby Bishop, University of Essex
BD015 – Agent based Modelling for Business, Dr. Abhijit Sengupta, University of Essex
BD016 – Machine Learning with Mahout, Mr. Richard Skeggs, University of Essex
BD017 – Big Data and Finance, Prof. Neil Kellard, University of Essex
BD018 – Analytics and Cognitive Computing, Dr. Detlef Nauck, BT
BD019 – Stream Processing and Data Analytics for Smart City, Dr. Payam Barnaghi, University of Surrey
BD020 – Crowdsourcing and Human Computation, Mr. Jon Chamberlain, University of Essex
BD021 – From Big Data to Big Value, Mr. Richard Mason, Intel
BD022 - Introduction to Big Data and Statistics, Mr. Nathan Cunningham, University of Essex Further details can be found on www.essex.ac.uk/iads/events/sumer-school.aspx<http://www.essex.ac.uk/iads/events/sumer-school.aspx>.


Keynote Speakers
Monday 24th August - The Impact of Research Computing on Science, Joe Duran, Director of HPC Systems Technology Solutions Division, Fujitsu
Tuesday 25th August – Bridging the Gap between Big Data, Stuart Jones, Statistics and Business, Regional Anti-money-laundering Head for Citigroup in Asia-Pacific
Wednesday 26th August – Small Data – Big Data; Qualitative Differences Resulting from Quantitative Scale, Jochen Leidner Director of Research Thomson Reuters
Thursday 27th August - Using Big Data to Generate Real Revenue for Business, Mark Woodward, Insights and Analytics Manager Intel (UK) Limited

Further Information and Registration
For further information and registration please see http://www.essex.ac.uk/iads/events/summer-school.aspx.  Spaces are limited so please book soon to avoid disappointment and take advantage of the early registration discount.