An introductory course covering the objectives, rules, and tools for Challenge D1 of the Digital Twin Competition Round 2, focusing on Leanbot programming for collecting and placing resources.
Welcome to the preparation course for the Digital Twin Competition, specifically tailored for participants in Group C (13-15 years old) and Group D (16-18 years old) who will be tackling the Data Analytics challenge
In this course, you will learn about:
- Competition Structure: Understand the rules, registration process, and individual participation requirements
- Prerequisites: Completing mandatory learning modules on the Pythaverse PContest platform, including PNote usage, JSON handling, and Python basics, is essential before you can access the competition missions.
- Challenge : Data Analytics (Groups C & D only):
- Use the PNote online Python environment and libraries like Pandas and Matplotlib
- Analyze provided JSON datasets containing Leanbot sensor (RGB) data.
- Develop a Python algorithm to classify unknown sensor readings based on patterns in labeled data
- Score points based on the accuracy of your classifications (1 point per correct prediction)
- Use the PNote online Python environment and libraries like Pandas and Matplotlib
- Submission: Submit your solutions (Blockly code, simulation video link for Challenge 1; Python code and classified JSON file links for Challenge 2) electronically via the PContest platform before your timeslot ends. Submission time acts as a key tiebreaker
This course provides the essential information drawn directly from the competition guidelines to help you prepare effectively for both the programming and data analysis components of the competition.
