Workshop 1: Software Debugging
Resource Person: Professor Abhik Roychoudhury (ACM Speaker)
Date and Time: 6th September 2017 at 9.00 A.M.
Description: This workshop will discover the areas including variety of software analysis methods that have been proposed to enhance the quality, reliability and security of software components, software validation research – ranging from systematic testing, to analyse program source code and binaries and other valuable content in this field.
Target Audience: This workshop will be beneficial to each and every IT personality who is involved in the software development process in the industry.
Workshop 2: Internet of Things (IoT)
Resource Person: Professor Marcel Baunach
Date and Time: 9th September 2017 at 9.00 A.M.
Brief Description: A central demand on the Internet of Things (IoT) as a global infrastructure is its ability to provide continuously changing services and functions dependably on an unprecedentednumber of heterogeneous devices. While today’s embedded devices are still statically designed for specific applications and suffer from severe security flaws, future software and hardware must be much more flexible and inherently protected. Highly adaptive computing platforms will be required to allow the dynamic composition of functions and even the modification of computational units at runtime (maintainability). At the same time, operations must still be completed within guaranteed response times (real-time), and the devices and network must remain protected against alteration due to environmental perturbation or deliberate attacks (security, safety). This workshop will discover the areas related to dependable embedded platforms in the IoT.
Target Audience: This workshop will be beneficial to each and every IT personality who is involved in the industry and researchers who are doing researches in IoT field and other parties who are interested in this.
Workshop 3: e-Assessment
Resource Person: Professor Geoffrey Crisp
Date and Time: 9th September 2017 at 9.00 A.M.
Description: This workshop will discover the areas including ubiquitous technology, assessment practices, and repertoire of assessment tasks to include a more sophisticated use of physical and virtual spaces implications of this new educational environment and reflect on our current assessment practices in relation to the requirements of this brave new world.
Target Audience: This workshop will be beneficial to Teachers, Teacher Trainers, Training Authorities, University Lecturers who are interested in e –learning and any career personality who is engaged in virtual space platform.
Workshop 4: Algorithmic Thinking and Problem Solving
Resource Person: Professor S.R Subramanya
Date and Time: 9th September 2017 at 1.30 P.M.
Description: The overall objectives of the workshop are to teach methods and techniques of: (a) algorithmic thinking; (a) problem modelling; (c) choosing the appropriate algorithm design technique; (d) developing and analysing the algorithm. The workshop outcomes are: (a) good analytical, problem-solving, and critical thinking skills; (b) understanding of algorithm design techniques; (c) ability to apply algorithms for systematic solution development; (d) ability to evaluate the solutions for correctness and efficiency; (e) working as a part of a group; (f) fun.
Target Audience: Personalities who are interested or have knowledge of algorithmic thinking and problem solving. This workshop will be beneficial to University students (IT and CS), Programmers and any career personality who is involved in critical thinking and problem solving.
Tutorial 1: Text Analytics
Resource Person: Dr.Ruwan Weerasinghe
Date and Time: 6th September 2017 at 1.30 P.M.
Description: 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.
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.