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Showing posts from 2018

User Experience Design — A Head Start based on my view

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UI/UX has been a buzz word among these days, especially among undergraduates sorting for opportunities in the industry as a professional. Well, most of them are in the preconceived notion that being a UI/UX engineer is the easiest to be and it requires little to no technical skills compared those which are expected of a candidate seeking an opportunity as a Software Engineer. Hence, this is quite a pattern that I been witnessing, where everybody is so fascinated and interested in UI/UX, but nobody seems to know what exactly is UI and UX (not to mention what the differences are) and what it takes to be a ‘great’ UI/UX Engineer. This has made most undergraduates, especially at the stage where they seek internships, get lost on – ‘is it good for me’, ’do I have what it takes to be a UX engineer ’,   ‘what do I get to do as a UX engineer’ and so on. I may not be a designated UX Engineer, but had been having a keen interest in the area apart from my part-time designing which dr

Simple Experiment to test the impact of Significant News Events to Stock Trading at Colombo Stocks Exchange in 2017 – A data mining approach

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Stock market is an integral part of any economy and often reflects the performance of the respective economy and un-doubtfully, external forces play a major role in the performance of the stock market. Although, the impact of these factors are not clearly visible or directly attributable as financial performances of listed companies or industries, suggesting a prevailing issue in predicting stock market solely on financial performance. A typical example in the local domain is the record for the highest stock trade on 9th January 2015 in the aftermath of the Presidential election for the year 2015. A similar case in the global context is with the election of Trump in the US. Therefore, in order to understand this effect, we – a group of 3, engaged in a small experiment using data mining considering ‘How Colombo Stock Market is affected by the local news events in Sri Lanka’.     The variation in Stock prices in CSE in 2015. The highest recorded around the Election days in January