FOSSMeet is the annual Free and Open source software meet at NIT Calicut. We are inviting proposals for talks and workshops at FOSSMeet 2017.
Through FOSSMeet, we intend to get the attendees, mostly students, get started with the development and usage of free software. You may propose to conduct a lecture, demo, tutorial, workshop, discussion or panel at FOSSMeet. If the contents of your session is the ‘I am feeling lucky’ result of some Google search, there is low probability that it’ll be accepted. Same applies to proposals titled ‘The absolute beginner introduction to X’ and others on a similar line. On the other hand, if your talk is on some obscure, albeit important, free software project that will go over most students head, this might not be the best platform to deliver that talk. There are always exceptions and we leave that to your judgement. If our audience wants it, we’ll try our best to accommodate it. Of course, if you find people interested in your proposal, you can always call a BoF. We are all for BoF’s! :)
Take the above with a pinch of salt. They are no s̶t̶r̶i̶c̶t̶ ̶r̶u̶l̶e̶s̶, only guidelines. All your proposals are welcome and we celebrate every single one that we receive! :D Looking forward to see you folks here.
Your audience (mostly) comprises of smart, above average, GNU/Linux aware students.
Call for proposals opens: Oct 27, 2016
Proposal submission deadline: Jan 15, 2017
Proposal acceptance: Jan 20, 2017
Presentation upload: Feb 15, 2017
For more information about speaking and proposals, contact firstname.lastname@example.org.
Data Analysis with R
Data is everywhere and data-scientists jobs are the hottest in the tech industry. In the current world data analysis is not a privilige but a necessity for organisations to take correct decisions, develop better strategies and produce hot products. Netflix, Google, Amazon, Youtube, Facebook and every other company is constantly hiring data analysts to make sense of their data.
Data is ubiquitous and cheap but it is a potential gold-mine waiting to be exploited.
This hands-on workshop will introduce participants to the very basics of data analysis. Using some very simple techniques they will be able to find exciting results from raw data.
The audience should have basic programming experience (conditionals, loops etc.) in any programming language.
The following ted talk presents exciting uses of data analysis techniques.
The two hour workshop will comprise of the following three sections:
1- Introduction to data-analysis (what and why)
2- Getting started with R and Rstudio, a revision of statistical concepts like mean, median, mode, correlation etc.
3- A hands-on project.
I am a senior undergraduate at NIT Calicut. A passionate programmer who likes to use programming to solve interesting problems. My current work interests include data analysis and deep learning. As part of Computer Science and Engineering Association, NIT Calicut, I have conducted several beginner and advanced workshops on technologies including but not limited to c++, java, python, android.