iNTUition v6.0

October 12th - 13th, 2019,
The Arc,
Nanyang Technological University, Singapore
View Submissions here!

FAQs

Frequently Asked Questions

What is iNTUiton?
  • iNTUition is NTU's only student-run 24 hour hackathon, organised by IEEE NTU Student Branch.
  • This edition is the 6th since its conception on 2014.
  • Who can participate?
  • Students of undergraduate level and below in any educational institution in Singapore & South-East Asia can sign up for iNTUition.
  • If you are passionate about learning new technologies, building awesome projects and meeting like-minded hackers, we want you here!
  • Does this cost money?
  • Nope! Admission is free. Just register online and show up at the venue on 12th October!
  • We'll provide food, caffeine, Wi-Fi and a place for you to hack for the entire duration of the event.
  • Don't know how to code?
  • No worries! Hackathons are the perfect environment to learn and apply something new in a short period of time!
  • You will be surrounded by hundreds of passionate people who can help you build something you can be proud of by the end of the weekend. Graphic Designers are welcome too!
  • What do I build?
  • Build something new and crazy that you are passionate about; iNTUition has no theme!
  • Note that you cannot recycle old projects or start developing your hack beforehand, however, you may use parts of projects you've built before.
  • What is a Hackathon?
  • A hackathon is an event where newbies and seasoned veterans alike spend the weekend building meaningful and/or crazy projects.
  • The term "hack" is used to describe how multiple technologies can be used together in a new & innovative way. Sleeping is optional, but trying to make awesome things is not.
  • How do teams work?
  • A team can have between 2 and 4 members. You can sign up as a team or start/join one on the spot. Note that at least one team member must be present throughout the competition.
  • Flying solo is also an option, although hackathons are more fun when you work together!
  • How does judging work?
  • Hacks will be ranked on technical difficulty, creativity, polish & general impressiveness.
  • After the 24 hour development period, a panel of judges will choose the teams through Devpost submissions to present their hacks to everyone.
  • What should I bring?
  • Bring your Matriculation Card/Student ID for admission and your laptop/hardware for hacking. We’ll provide snacks and meals throughout the event.
  • We also recommend bringing the following items- jacket, pillow, sleeping bag, toothbrush & deodorant.
  • Schedule

    Tentative schedule of all the fun filled activities and workshops

    11:00 AM

    Registrations at TCT-LT (Tan Chin Tuan Lecture Theatre)

    Day 1
    12:00 PM

    Opening Keynote at TCT-LT

    Day 1
    1:00 PM

    Hacking Begins at the Arc!
    Workshop - "REST APIs"

    Day 1
    2:00 PM

    Workshop - "Hack101"

    Day 1
    2:30 PM

    Workshop - "Big Data Analytics & Scalable Machine Learning using PySpark"

    Day 1
    3:30 PM

    Workshop - "Introduction to Data Science"

    Day 1
    6:00 PM

    Dinner

    Day 1
    11:00 PM

    Supper

    Day 1
    6:00 AM

    Breakfast

    Day 2
    10:00 AM

    Workshop - "Pitching101"

    Day 2
    1:00 PM

    Hacking Ends!
    Lunch

    Day 2
    1:45 PM

    HackerFair + Judging

    Day 2
    3:30 PM

    Final round of Judging

    Day 2
    5:00 PM

    Prize Presentation + Closing Keynote

    Day 2

    Workshops

    Hack101


    Designed for beginner level attendees, this workshop will get you started with the ideation process and give you an idea of the hackathon process. We will go through the design thinking process to help you build a product at the end of the hackathon. We will cover some libraries and frameworks that you will surely find useful for rapid development. Appropriate pitching and presntation techniques for your hack will also be covered.


    REST APIs


    Learn how to use REST APIs to make your applications really versatile! Get information through these APIs, offload heavy computing to servers and more with REST APIs. This workshop will teach you the basics of APIs, how to call REST APIs and make your own!


    Introduction to Data Science


    In this workshop, you will learn how to do an Exploratory Data Analysis (EDA) on a real-world data set using Python. Exploratory Data analysis is the first step of data science which is used to describe the data to identify underlying patterns and test hypothesis using a range of statistical and visualization techniques. The whole process of data cleaning, identifying relationships and data visualizations will be covered. The python packages that will be used are Numpy, Pandas, Matplotlib and Seaborn.


    Big Data Analytics & Scalable Machine Learning using PySpark


    Machine learning models often run in complex production environments that can adapt to the ebb and flow of big data. The tools and practices that help data scientists rapidly build machine learning models are not sufficient to deploy those models at scale. To deliver scalable solutions, you need a whole new toolset. In this workshop we will be covering to analyse Big Data and train ML algorithms using PySpark.


    Prizes

    1st Place


    HP E-voucher worth $2500

    2nd Place


    HP E-voucher worth $1500

    3rd Place


    HP E-voucher worth $1000

    Best AI Hack


    Google Home Mini + Google Chromecast

    Best Freshman Hack


    Logitech MK470 Slim Wireless Keyboard + Mouse

    Best Pre-University Hack


    Canon Pixma All-in-one Inkjet Printer

    Best Cloud-Based Hack


    $250 Digital Ocean credits per person

    Best Hardware Hack


    Particle Argon Kit

    Sponsors

    Platinum Sponsors

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    Gold Sponsors

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    Silver Sponsors

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    Hardware Partners

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    Getting Here!

    Directions:

    1. Take the East-West line to Pioneer MRT Station.
    2. Head towards Bus Stop 22529 (Blk 649A) via Exit B.
    3. Take the Campus Weekend Rider (CWR) and get off at the 4th stop (TCT LT, Opp. Admin Bldg).
    4. Turn left and walk towards the stairs.

    You should see the Tan Chin Tuan Lecture Theatre towards your right!

    Contact Us