Scilab Toolbox Hackathon 2020: A global challenge for bright minds
FOSSEE, IIT Bombay is hosting an online Scilab Toolbox Hackathon to develop Scilab Toolboxes. So get started and utilize your lockdown time to participate in this hackathon and improve your coding skills.
Scilab Toolbox Hackathon is an online, nonstop "Scilab Toolbox Development" based on an ALREADY AVAILABLE and ESTABLISHED open source software, a competition initiated by the FOSSEE, IIT Bombay. It aims at inspiring minds across the globe to build outstanding toolboxes for Scilab. To know more about the Scilab toolbox hackathon, please click here.
You Must be a good software developer (C, Python, R, etc,.) and know how to interface multiple software.
Team size and Composition:
You can participate as an individual or as a team (max. 4 members). Ideally, a team should have two types of people: (1) people with coding expertise (2) people with domain expertise. It is possible that a team member may have both expertise, however.
There are thousands of open source software available for numerical computation, to solve nonlinear equations, to integrate differential equations through finite difference and finite elements, for data visualisation, for statistical calculation, etc. There are also open source solutions to establish debuggers/ profilers. To find the partial list of software, click here. The objective of this Hackathon is to bring such software as toolboxes to Scilab users. This will enhance the functionality of Scilab. Once such software is available as a Scilab Toolbox, anyone who knows Scilab should be able to access it easily. An example of building such a toolbox is given for C/C++ here. A similar example for Python is available here: (1) Python Toolbox Creation (2) Python Toolbox Installation and Use and (3) Scilab-Python-Toolbox.
To summarise, select the open source software, interface it with Scilab, validate it with two or more examples and submit. All submissions will be released under GPL.
Rules and Regulations:
The decision of the review committee and organizers in declaring the results will be final. No queries in this regard will be entertained.
The same person can not participate in more than one team.
If a person is found participating in more than one team, both the teams will be disqualified from the Hackathon.
There will be only one point of contact (the team leader) with the organizers.
Any participant found to be indulging in any form of malpractice will be immediately disqualified.
Benefits and Rewards:
1. eCertificates for good submissions
2. Internship opportunities for selected teams
3. Winning SCILAB Hackathon by the Institutes Faculty or Students will directly contribute to 6 of the 7 NACC new criteria and indicators. A few have been listed below. The details about the NAAC accreditation details can be Found here.
Curricular Aspects (Pg 51, 103) 1.3 Curriculum Enrichment (126.96.36.199)
Teaching Learning and Evaluation(Pg 54,) 2.3 Teaching-Learning Process (2.3.1, 2.3.2)
Research, Innovations and Extension (Pg 61, 65, 66, 70, 74) 3.1 Promotion of Research and Facilities (3.1.3), 3.3 Innovation Ecosystem (3.3.2 & 3.3.3), 3.4 Research Publications and Awards (3.4.2 & 3.4.7), 3.7 Collaboration (3.7.1 & 3.7.2)
Infrastructure and Learning Resources (pg 76, 77) 4.2 Library as a Learning Resource (4.2.2, 4.2.3 &4.2.4), 4.3. IT Infrastructure ( 4.3.2 & 4.3.5)
Governance, Leadership and Management (Pg 87, 88, 89, 123-124), 6.2 Strategy Development and Deployment (188.8.131.52.3), 6.3 Faculty Empowerment Strategies (6.3.2, 6.3.3 & 6.3.4 )
Institutional Values and Best Practices (Pg 97), 7.2 Best Practices
INR 100,000 for the winner.
INR 50,000 for the 1st runner-up
INR 25,000 for the 2nd runner-up
Selected 50 teams to get INR 1000 cash prize each.
Registration: 24 May 2020 - 31 May 2020
Hackathon: 8 June 2020 - 22 June 2020
For more information on Registration dates, Themes and other details click on the "Website/Brochure" button below.
Disclaimer: All the above data gathered from / all the logos and titles are belongs to / EngMorph does not own any part of the data published in this page and EngMorph is not responsible for the correctness of the information presented. For more information, visit / website.