Design of Algorithms for Big Data Analytics

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MHRD - Global Initiative of Academic Networks (GIAN) Design of Algorithms for Big Data Analytics School of Computer and Information Sciences, University of Hyderabad 1 – 12 August 2016 Very large volumes of data are being collected in every domain of human endeavour. The term Big Data has become pervasive recently and denotes the problems related to the storage, management, and analysis of these large amounts of data. Business, sciences, and engineering are all becoming dependent on their ability to harness useful knowledge from very large datasets. For example, the research in medical and biological sciences used to focus primarily on wet-lab experiments that generated small sets of numbers, and these were then analysed by statisticians. Availability of technologies for high speed sequencing of genomics entities has the potential to provide very deep insights into the biological processes but it requires analysis of very large sized datasets. This same trend holds in most other sciences which are sensing and recording data at very fine resolutions and need intelligent analysis. Businesses are also becoming increasingly dependent on analysis of marketing and financial data. Security analysis for every type of forensics - from cyber-crime to money laundering to law enforcement - is becoming dependent on analysis and mining of very large amounts of monitored data. Computer hardware technologies have enabled very fast processors but the needs of processing Big Data surpass the capabilities of individual processors. Cloud computing technologies that enable hundreds of processors to work in parallel to process huge datasets have emerged in last few years and are being adopted successfully by various users. However, there is a need to develop dedicated algorithms for various types of data processing needs on these scaled up server systems. The topic of efficient algorithm design for such Big Data environments has seen extensive research for the last few years. This course seeks to teach students the various aspects of analysing the huge data sets using Map-Reduce programming paradigm in the cloud infrastructure. The participation fee for taking the course is as follows: Industry/Research Organizations: Full Course: Rs. 20,000/- Academic Institutions: Full Course: Rs. 5,000/- Fee by DD is payable to the "Finance Officer", University of Hyderabad (Note: Students of UOH are exempted from Registration Fee. Conditions apply) The above fee includes all instructional materials, computer use for tutorials, 24 hr. free internet facility. The participants will be provided with single bedded accommodation on payment basis, depending on availability. Design of Algorithms for Big Data Analytics: August 1 - August 12 Number of participants for the course will be limited to 50 only. Course Instructor: Prof. Raj Bhatnagar, Department of Computer Science, University of Cincinnati, Ohio Course Coordinator: Prof. Arun Agarwal Phone: 040-23010780, E-mail: aruncs@uohyd.ernet.in, http://scis.uohyd.ac.in/

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Date Time & Venue

2016-08-01

10:00:00

University of Hyderabad Campus, Gachibowli, School of Computer and Information Sciences, University of Hyderabad - 500046

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Organizer Detail

    Ashish Khadpe


    Parsys Media

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