Models and systems for Big Data analysis on HPC platforms and Clouds

Prof. Paolo Trunfio (ACM Distinguished Speaker) – Associate Professor of Computer Engineering at University of Calabria, Italy

Date: 29th September 2018
Time: 9.00 AM to 12.00 noon

ICTer Tutorial on Text Analytics

Dr. A.R.Weerasinghe B.Sc. (Math and Statistics) (Colombo), MSc.(Cardiff), Ph.D. (Cardiff)

Date: 29th September 2018
Time: 1.00 PM to 4.00 PM

This tutorial is aimed at those who have to deal with lots of textual data for elucidating information and knowledge for decision making purposes. While there is no pre-requisite of knowing programming, algorithmic thinking will enable participants to gather more insights from the tutorial than those who do not possess such.

After a very brief introduction to the linguistics behind textual data, the tutorial will cover aspects of data collection, cleaning and preparation (extracting useful features), and then go onto some of the key analytical processes that can be employed to extract knowledge useful for decision making.

Indicative content:

Why is text hard to analyze, data collection via APIs and web scraping, extracting textual content of web data, feature extraction and selection, common supervised and unsupervised learning algorithms for tasks such as information extraction, text similarity detection, document clustering and sentiment analysis.

Programming framework:

Python will be used as the main programming language with its language processing libraries such as nltk and spicy and machine learning libraries scikit-learn and gensim.

Target audience:

Two kinds of participants are envisaged – non-programmers who are curious about what kind of analytics we can perform on text data, and programmers who want to be able to perform such analytics. The latter group would benefit by bringing their own laptops pre-loaded with the necessary (open source) tools which will be detailed upon registration.

Smart Contracts: The Next Generation of Digital Commerce

Dr. Kasun De Zoysa B.Sc. (Computer Special) (Colombo), Ph.Lic.(Stockholm), Ph.D. (Stockholm)

Date: 29th September 2018 
Time: 9.00 AM to 4.00 PM

Cryptocurrencies have brought their own means of payment and next generation of business applications. One of the cryptocurrency platforms, Ethereum possesses enormous potential to create “Smart Contracts” that could change the way we interact on the web in the decades to come. The smart contracts are self-executing contracts where the terms of the agreement between buyer and seller are directly written into lines of code. The code and the agreements contained therein exist across a distributed, decentralized Blockchain network. Smart contracts can be used for voting, crowdfunding, blind auctions, multi-signature wallets and much more.

So you wanna build a smart contract? Perhaps you want to understand how they work. Regardless of your intentions, learning how smart contracts work is invaluable. This one-day tutorial gives you hands-on experience on smart contracts and its future consequences. The limited number of seats (30) are available.

An Introduction to the Galaxy Platform for Computational Biology

Dr Nuwan Goonasekera B.Sc .(Hons), Manchester Metropolitan University, PhD, Queensland University of Technology

Date: 26th September 2018
Time: 9.00 AM. to 12 noon

Galaxy is a scientific workflow platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience. By providing a graphical, web-based interface for running bioinformatics tools and pipelines, Galaxy removes the need to learn complex command-line syntax for popular bioinformatics tools or the need to interact with computational job management systems. Galaxy also makes your analyses reproducible by maintaining a replicable history of analysis steps, and makes your research more transparent by allowing you to share your analyses with others.

Indicative content:?In this tutorial, we will start with the basics of Galaxy, by providing a run through of the interface, demonstrate how to get private and public data into Galaxy, and perform a common type of analysis using popular software tools. We will then build on this base to create a more complex workflow, publish this workflow and perform a more complex analysis, using an exemplar RNA-seq pipeline. We will also discuss the options available for installing and using Galaxy, including freely available public servers.

Target audience:? Participants with some background in biotechnology who are interested in carrying out bioinformatics analysis. Participants would benefit by bringing a laptop and the only required software will be a web browser.