Venue

The Arc @ NTU

Training Workshops

Pre-hackathon Workshops will be provided for novices. Fundemental Workshops on basic machine learning and computer vision will be provided during the Hackathon week.

Teamwork

Work in teams to develop prototype solutions for OPEN category. Novices can learn, explore and participate in applying data science to prototpye concepts for NOVICE category


Python Programming & Data Analytics Workshops

Beginner Classes

To aid participants with no programming or data science background, a series of workshops (Zoom webinars) will be conducted by Roboto Coding Academy between 23-25 Sept 1900 - 2100.


* This course is also open to general public or non-competition participants to spread the knowledge of coding and data science.

Zoom webinar details will be emailed to registered persons 1 day before class date.


Timeline

Date Time Activity Title Venue
23 Sept 1900 - 2100 Pre-Hackathon Workshop
Python Programming 101
Webinar
Register Here
24 Sept 1900 - 2100 Pre-Hackathon Workshop
Python Programming 201
Webinar
Register Here
25 Sept 1900 - 2100 Pre-Hackathon Workshop
Data Analytics 101
Webinar
Register Here
28 Sept 1030 - 1130 Opening Address
Release of challenge details for OPEN category
Release of challenge 1 details for NOVICE category
The Arc @ NTU
1930 - 2130 Fundementals Workshop
Machine Learning Fundamentals
29 Sept 1930 - 2130 Fundementals Workshop
Computer Vision (Part 1)
The Arc @ NTU
30 Sept 1030 Release of challenge 2 details for NOVICE category Online
1930 - 2130 Fundementals Workshop
Computer Vision (Part 2)
The Arc @ NTU
1 Oct 1700 Deadline for NOVICE category solution submission Online
2 Oct 0800 Deadline for OPEN category solution & presentation submission
Deadline for NOVICE category presentation submission
The Arc @ NTU
1000 - 1200 NOVICE Category Presentation Round
1200 - 1300 Lunch
1300 - 1500 OPEN Category Presentation Round
1500 - 1545 Judges Evaluation
1545 - 1630 Award Ceremony

Working Together

Challenge

How might a team collaborating remotely be more productive than in a face-to-face meeting?
e.g. How might we translate body language, nuance and emotion for more feedback to make remote meetings better?

NOVICE CATEGORY

Conceptual Solution

Who Can Join ?

For students with no prior programming experience

NO mixing of experienced & non-experienced are ALLOWED in the team

Challenge

Teams will code and solve computer vision related puzzles as well as work on developing a conceptual solution relating to the challenge. Fundamental training on Machine Learning and Computer Vision will be provided

Download Challenge Brief

* Full details to be released on 28 Sept


OPEN CATEGORY

Prototype Development

Who Can Join ?

For students with prior programming experience

Challenge

Teams are required to create a prototype that address the challenge.

Download Challenge Brief

* Full details to be released on 28 Sept


In Partnership with

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NTU Career & Attachment Office

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Roboto Coding Academy

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Dell