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
Fundamentals Workshops
Resource Downloads
Workshop 1 Notes (28 Sept)
Workshop 1 Instructor Notes
Workshop 2 Notes (29 Sept)
Workshop 2 Instructor Notes
Workshop 3 Notes (30 Sept)
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 | Fundamentals Workshop Machine Learning Fundamentals |
||
| 29 Sept | 1930 - 2130 | Fundamentals Workshop Computer Vision (Part 1) |
The Arc @ NTU |
| 30 Sept | 1030 | Release of challenge 2 details for NOVICE category | Online |
| 1930 - 2130 | Fundamentals 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 Hackathon Rule BookOPEN 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 Hackathon Rule BookIn Partnership with
NTU Career & Attachment Office
Roboto Coding Academy
