I have always defined myself as a person who has limitless enthusiasm towards making new things. I have wood carving sets, sewing machine, soldering machines, multimeters, wrenches, pliers, screwdrivers, hammers, so many tools at home. By the time I decided to get married, I ordered most of the things online and I assembled on my own (might have used a little help from my husband). I changed the lock, put together the faucets, renewed the plug sockets, installed the IKEA furniture… etc.
The genuine interest of mine stemmed from my father, I believe. During my whole childhood, I watched him polishing his own shoes, fixing our flush over and over, changing lamp sockets and placing my mom’s crystal chandeliers everytime we move to another city. Sometimes I observed and helped him. For me, maker lifestyle is equal to my father’s style without any question. He never hesitated to attemp fixing broken things and discovering how they work. So in a way, my enthusiasm was not my nature but an acquired characteristic.
In search of computational thinking I have come across with Seymour Papert; father of computational thinking, Marvin Minsky ; father of artificial intelligence and Uri Wilensky, father of NetLogo. Alas, I will never have a chance to meet the former two. Hope, I will have the honour to meet and work with Professor Wilensky.
Happy father’s day, all great fathers!!!
‘Computational thinking’ is a 37-year-old term which has first introduced by Seymour Papert. Today, universities have various computational science departments such as computational astrophysics, computational chemistry and so on. Computational thinking is the key element in those disciplines. Scientist and engineers gather together to solve one complex problem with the help of computers.
These computational science disciplines and their ways of conducting research give us insights about future of science. In my paper accepted in CEST15 (International Conference on Environmental Science And Technology) conference, I have made use of the data of wastewater has been taken from treatment plants and and put into membrane bioreactors to be filtered.These data have been collected by a PhD student in 6 months. By using Runge-Kutta method and reviewing the literature, I have approximated the exact values of nitrogen and phosphorus in filtered water. That is to say; programming and making use of the computers enable us to save time, energy and resources.
As World Economic Forum has published the predictions for near future most needed skills which employers look for in employees, it is obvious that complex problem solving is crucial.
My understanding is complex problem solving requires computational thinking skills.And those skills are valuable both in business and academic fields.