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AI Body: Edge Computing and Intelligent Robotics
AI Agent Space Explorer: Edge Computing and Visual Navigation
"We don't teach rigid syntax; we teach you how to use AI to analyze Wall Street data and build your first quantitative trading program."
Course Overview
Say goodbye to the boring "Hello World" approach. We let students directly play the role of fund managers, using Vibe Coding to direct AI to write programs and build financial dashboards from scratch that can analyze stocks and predict risks.
Target Audience
High school (S4 - S6)
Difficulty
★ ★ ★ (Advanced/Suitable for students with a foundation in mathematics and physics)
Keywords
Computer Vision
Robotic
Edge AI
Python
Applicable allowance
Secondary School IT Innovation Lab / Comprehensive Learning Grant
Why should we take this course?
✘ Traditional Python Classes: Only teach If/Else and Loop statements, leaving students bored and unsure of their application. ✔ EdCoSys Model: Practice-Oriented: Directly process real historical stock prices of AAPL (Apple) and TSLA (Tesla). Vibe Coding Empowerment: Students don't need to memorize complex syntax; they learn how to use natural language (Prompt) to command AI to write professional code. Career Connection: Experience the daily work of a Data Analyst and a Quantitative Financial Analyst.
Tech Stack
• Programming Language: Python (Pandas, Matplotlib) • AI Collaboration: Cursor / ChatGPT / DeepSeek (Vibe Coding) • Development Environment: Replit / Jupyter Notebook • Web Framework: Streamlit
An 8-lesson learning journey
1
AI Analyst Onboarding
Learn Vibe Coding and use natural language to command AI to download and read historical US stock data.
2
The data speaks for itself
Use Python Matplotlib to draw candlestick charts and use AI to enhance the chart's color scheme.
3
Edge operation training
Data is collected, models are trained, and algorithms are "burned" into hardware to achieve offline identification.
4
Visual tracking
Write Python logic: When (ore is seen) → (move forward); When (ore deviates) → (correct direction)
5
Intelligent obstacle avoidance
Add an ultrasonic sensor. Implement "priority logic": obstacle avoidance takes precedence over treasure hunting.
6
Communication interruption simulation
Create a Streamlit Web App, input a stock symbol, and AI will automatically assess its risk level.
7
Extreme Challenge
By creating simulated investment portfolios in groups, and using data logic to convince "investors," the system effectively addresses these issues.
8
Engineering report
Final deliverables: Export computation logs, analyze navigation accuracy, and create an engineering portfolio.
Join EdCoSys' learning journey now!
The school's computer lab is only adequately equipped; is it capable of running these AI courses?
Sure! Our A, C, and D series courses primarily use cloud-based tools (such as Replit and CoSpaces), which can run smoothly on any computer (Win/Mac) or iPad with internet access. For the B series (lunar rover), we provide the necessary hardware.
Will students with no programming background fall behind?
No. EdCoSys uses the latest Vibe Coding teaching method, which focuses on "logical thinking" and "how to ask AI questions," rather than rote memorization of grammar. We are particularly good at guiding students with no prior experience to gain a sense of accomplishment.
Is there an evaluation report for the course?
Yes. We will provide each student with an "AI Skills Certificate" and a "Portfolio URL," and provide the school with a report analyzing the student's strengths and weaknesses to facilitate teacher follow-up.
