Course Content
UNIT 1: Foundations of Innovation & AI
Through the UCC ICT Clubs Innovation & AI Program, you will learn how to design and code your own mobile or web application to solve real problems in your community. ICT Club members of St. John SSS Nandere, Luwero excited about the launch of ICT Club by UCC ICT Club members of St. John SSS Nandere, Luwero excited about the launch of ICT Club by UCC This program prepares you to develop solutions that can compete at the National Council for Communications (NCC) Annual Competitions. You are not just learning to code. You are learning to become an innovator. πŸ’» What is Code? Code is a special set of instructions that people write to tell a computer what to do. Computers are very powerful machines, but they cannot think on their own. They only do exactly what they are told to do. Code is the way we give those instructions. Think of code like giving directions to someone. If you tell a friend, β€œWalk straight, turn left, then stop,” they will follow your instructions step by step. In the same way, when a programmer writes code, the computer follows those instructions step by step. Every mobile app you use works because someone wrote code. Every website you visit works because someone wrote code. Even games, ATMs, school systems, online shopping platforms, and social media apps work because of code. Coding (also called programming) simply means writing those instructions in a language that the computer understands. There are different programming languages, just like there are different human languages. For example, people speak English, Luganda, Swahili, and many others. Computers also have languages such as Python, JavaScript, Scratch, and block-based programming tools like App Inventor. Code is everywhere around you. When you send a message on WhatsApp, code is working. When you watch videos on YouTube, code is working. When your school uses a digital report system, code is working. When mobile money calculates your balance, code is working. You use technology built with code many times every day β€” even if you do not see the code itself. In this course, you will move from being just a user of technology to becoming a creator of technology. You will learn how to write code that solves real problems in your community. πŸ“± Examples of Things Made with Code Messaging apps like WhatsApp Mobile apps Games like The Sims Online games Animations and videos Banking systems School management systems E-learning platforms πŸ—£ Stop and Discuss What are some things you enjoy that were created using code? Think about: Social media Music apps School portals Online shopping Transport apps Discuss with your team. 🌍 Using Code to Help People Coding is not only for entertainment. You can use code to solve real-world problems. Here are some examples: πŸ₯ Healthcare Code helps doctors: Analyze medical scans Store patient records Detect diseases early Track outbreaks β™Ώ Assistive Devices Technology helps people with disabilities: Text-to-speech systems Smart hearing devices Mobility tools πŸ€– Robots Robots are programmed using code to: Assist in hospitals Help in factories Perform dangerous tasks Technology can change lives. And you can build that technology. πŸ€– What is Artificial Intelligence (AI)? Another important topic in this program is Artificial Intelligence (AI). Artificial Intelligence is the ability of machines or computer systems to perform tasks that normally require human intelligence. These tasks include: Recognizing faces Understanding speech Making recommendations Detecting patterns Predicting outcomes The human brain is very complex. For many years, scientists worked hard to make computers β€œthink” in intelligent ways. Over the past 50 years, great progress has been made in AI. Today, AI is part of everyday life. 🌐 Examples of AI in Daily Life Self-driving vehicles YouTube video recommendations Face recognition systems Spam email detection Voice assistants Smart farming systems Fraud detection in banks πŸ—£ Stop and Discuss Can you think of other examples of AI in your daily life? Consider: Google search results TikTok suggestions Weather prediction apps Mobile money fraud alerts Online exam systems Discuss as a team. 🎯 Why Learning AI Matters As a young innovator in Uganda: You should understand how AI works. You should know how it affects your life. You should learn how to use it responsibly. You might integrate AI into your competition project. AI is not just for big companies. It is for students like you. πŸ—“ Program Timeline & Key Dates Your ICT Club Patron will share: Training timeline Submission deadlines NCC competition dates Internal school presentation dates Stay organized. Work as a team. Start early. πŸš€ LET’S GET STARTED! You are about to begin your journey as: A coder A problem solver An innovator A future tech entrepreneur
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Generative AI Tools for Problem Solving
In this lesson, you will learn how to use generative AI tools responsibly to support your innovation project. Generative AI can help you brainstorm ideas, research problems, design your app, write code, create presentations, and even edit videos. However, while AI is useful, it must be used carefully and ethically. You will explore both the benefits and the risks of AI. You will learn that AI can sometimes generate incorrect information, show bias, or raise privacy concerns. Because of this, you must verify information, protect user data, avoid plagiarism, and ensure fairness in your solutions. This lesson will guide you on how to interact with AI as a responsible innovator. You will learn practical strategies for writing effective prompts, refining responses, and understanding the output generated by AI tools. Most importantly, you will create a Responsible AI Use Plan that explains how your team will use AI in a transparent and ethical way during your project. By the end of this lesson, you will understand that AI is not a replacement for your thinking. It is a support tool. You remain the creator. You remain the decision-maker. AI simply helps you build smarter, stronger, and more innovative solutions.
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Identifying Community Problems
Lesson Introduction Before you build an app… Before you design a solution… Before you write a single line of code… You must first find the right problem. The strongest innovation projects always begin with a clearly understood community problem. This lesson helps you: Understand what a problem really is Identify communities you belong to Observe real needs in Uganda Categorize problems using the UN Sustainable Development Goals Brainstorm impactful ideas
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Solving Problems with Technology
You have identified a real community problem. Now comes the next big question: How can technology help solve it? In this lesson, you will explore how mobile phones, web applications, and Artificial Intelligence can be used to create powerful, practical solutions. Not every problem needs technology. But when technology is used correctly, it can: Scale solutions Save time Improve access Increase accuracy Connect people Your task is to decide how technology fits into your solution.
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Exploring Mobile App Builders
IN THIS LESSON YOU WILL: βœ” Learn about different app builders and programming languages βœ” Understand block-based vs text-based coding βœ” Get set up to build your first mobile app βœ” Explore simple tools suitable for ICT Clubs βœ” Learn how AI can help you build apps faster
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Exploring Web App Builders
IN THIS LESSON YOU WILL: βœ” Understand what a web app is βœ” Differentiate between mobile apps, web apps, and progressive web apps βœ” Learn beginner-friendly web app development options βœ” Install and set up a simple web development environment βœ” Understand how AI can be integrated into web apps
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ALGORITHMS
IN THIS LESSON YOU WILL: βœ” Understand what an algorithm is βœ” See real-life examples of algorithms βœ” Practice writing precise instructions βœ” Connect algorithms to coding and AI βœ” Prepare for app development logic
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UNIT 2: Research & AI Foundations
Unit 2 moves students from identifying problems to validating them through research and technology exploration. In this unit, learners begin to think like innovators and researchers. They go beyond observation and start gathering real evidence from their communities. Students learn how to conduct structured research, interview stakeholders, analyze needs, and verify that a problem is real, significant, and worth solving. The unit emphasizes that strong innovation is built on verified data, not assumptions. Students explore how to: Conduct real-world research Engage and partner with community organizations Narrow down and select a meaningful, impactful problem Understand foundational Artificial Intelligence concepts Explore technical tools more deeply through App Inventor and Web App development πŸ”Ή Researching Real-World Problems Students learn structured research methods such as: Surveys Interviews Observation Field visits Data collection They analyze patterns and document evidence to support their chosen problem. This ensures their project is rooted in reality and not guesswork. πŸ”Ή Partnering with Community Organizations Students are encouraged to collaborate with: Schools Health centers NGOs Farmer groups SACCOs Youth organizations Through partnerships, students gain access to: Real challenges Expert insights User feedback Validation opportunities This step strengthens both impact and competition readiness. πŸ”Ή Selecting a Meaningful Problem After research, teams compare potential problems using criteria such as: Relevance Impact Feasibility Technological suitability Alignment with Sustainable Development Goals (SDGs) Teams then formally define a clear, specific, measurable problem statement to guide development. πŸ”Ή Introduction to Artificial Intelligence Students are introduced to: What AI is How AI works Where AI is used in everyday life When AI is appropriate in a solution They learn that AI is a toolβ€”not a requirementβ€”and must be used ethically and responsibly. πŸ”Ή App Inventor: Closer Look Students deepen their understanding of: Components Events Logic structures Data storage Basic AI extensions They begin thinking about how their researched problem can translate into a functional mobile app. πŸ”Ή Web Apps: Diving Deeper For advanced teams, students explore: Text-based coding Python and Streamlit Web app architecture AI integration in web platforms They evaluate whether a web-based solution better fits their project goals. πŸ”Ή End of Unit Outcome By the end of Unit 2, each team should have: βœ” A validated, researched problem βœ” Evidence from the community βœ” A selected technology pathway (Mobile or Web) βœ” Basic understanding of AI relevance βœ” Clear direction toward solution design
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Partnering with Community Organizations
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Selecting a Meaningful Problem
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Introduction to Artificial Intelligence
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App Inventor: Closer Look
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Web Apps: Diving Deeper
https://audio.com/moseswa4/audio/turn-python-scripts-into-streamlit-web-apps1
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UNIT 3: Designing Smart Solutions
Identifying Innovative Solutions Responsible Research and Innovation Market Research Basics App Inventor: Coding Conditionals Finding Patterns with AI
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Building apps that help people and do not harm them.
As ICT Club innovators, you are learning to build powerful mobile apps and web apps that can solve real community problems. But creating technology is not only about making it work. It is also about making sure your technology: Helps people Does not harm people Respects privacy Works fairly for everyone This is called Responsible Research and Innovation (RRI).
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Market Research
Know your users Improve your idea Build correct features Build successful products
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ICT Clubs Startup Development Course

In your ICT Club project, you may choose to build:

  • A Mobile App

  • A Web App

  • A Progressive Web App

For beginners, mobile apps (using MIT App Inventor) are recommended.

However, if your team:

  • Has prior coding experience

  • Has done block-based coding before

  • Wants a more advanced challenge

  • Wants stronger AI integration

Then building a web app may be the right choice.

πŸ”Ή MOBILE APP vs WEB APP vs PWA

πŸ“± Mobile App

  • Installed on phone

  • Works offline

  • Can access phone sensors (GPS, camera)

  • Platform specific (Android or iOS)

Example in Uganda:
Offline revision app for rural schools.

🌐 Web App

  • Runs in browser (Chrome, Firefox, Edge)

  • Works on any device

  • Requires internet

  • Built with text-based languages

Example in Uganda:

  • School results portal

  • Farmer price dashboard

  • SACCO management system

πŸ”„ Progressive Web App (PWA)

  • Runs in browser

  • Can be installed like an app

  • Can work offline partially

Example:
Market price monitoring tool for farmers.

IMPORTANT DIFFERENCE: WEBSITE vs WEB APP

Website:

  • Static information

  • Does not change based on user input

Web App:

  • Interactive

  • Responds to user input

  • Can store data

  • Can run AI models

For competition purposes: A simple static website is NOT acceptable.

You must build a dynamic web app.

πŸ”Ή MAIN LANGUAGES FOR WEB APPS

There are two main options:

πŸ”Ή OPTION 1: JavaScript (JS)

JavaScript:

  • Runs inside browser

  • Executes at runtime

  • Adds interactivity to websites

Combined with:

  • HTML (structure)

  • CSS (design)

Used for:

  • Interactive dashboards

  • Real-time updates

  • Dynamic forms

Best for: Students already comfortable with coding.

πŸ”Ή OPTION 2: Python (Recommended)

Python is:

  • Easy to learn

  • Powerful

  • Widely used globally

  • Strong for AI & Machine Learning

For this curriculum, we recommend:

πŸ‘‰ Python + Streamlit

πŸ”Ή WHAT IS STREAMLIT?

Streamlit is a Python framework that allows you to build web apps easily.

Advantages:

βœ” Simple syntax
βœ” Works well with data
βœ” Supports charts
βœ” Easy AI integration
βœ” Runs locally or in cloud
βœ” Used worldwide

Example Uganda Scenario:

Problem:
Farmers don’t know weather forecasts.

Web App Solution:

  • User selects district

  • App shows rainfall predictions

  • Uses AI weather prediction API

INSTALL SOFTWARE & CODE STARTER APP

NOTE:Β Following the instructions below, you might run into some issues, so be patient and be prepared to troubleshoot as you go!

  1. Step 1:Β Install Python. Here is a goodΒ set of instructionsΒ for Window, Mac, or Linux.
  2. Step 2:Β Install a code editor and Streamlit. ThisΒ videoΒ shows you how to installΒ Visual Studio CodeΒ and then installΒ StreamlitΒ to run it from the code editor.
  3. Step 3:Β Run a very simple Streamlit web app in the VS Code environment by following thisΒ video.
  4. Celebrate by taking a screenshot of your first web app and send it with a note to your mentor!

πŸ”Ή AI + WEB APPS

Web apps are powerful for AI integration because:

  • Python is the most popular language for Machine Learning

  • Many AI libraries exist

Examples:

  • Crop disease detection

  • Student performance prediction

  • Waste classification system

  • Health symptom checker

AI libraries used in Python:

  • Scikit-learn

  • TensorFlow

  • PyTorch

  • OpenAI API

πŸ”Ή GETTING STARTED

You need:

βœ” Laptop
βœ” Internet
βœ” Basic comfort with typing commands

πŸ”Ή TWO DEVELOPMENT OPTIONS

OPTION A: Code on Your Computer (Local Development)

Pros:

βœ” Full control
βœ” Can work offline
βœ” Learn real software setup
βœ” Good for serious programmers

Cons:

  • Setup may be difficult

  • Requires installing Python

  • Requires using terminal

OPTION B: Code in the Cloud (Recommended for Schools)

Pros:

βœ” No installation needed
βœ” Easy team collaboration
βœ” Saves files online
βœ” GitHub integration

Cons:

  • Requires stable internet

Recommended Tools:

  • Streamlit Cloud

  • GitHub

  • Google Colab

πŸ”Ή ACTIVITY A: LOCAL SETUP (45 Minutes)

Step 1: Install Python
Step 2: Install Visual Studio Code
Step 3: Install Streamlit
Step 4: Run first app

Example basic code:

Β 
import streamlit as st

st.title("Welcome to UCC ICT Club App")
st.write("This is my first web app!")

Run using:

Β 
streamlit run app.py

πŸ”Ή ACTIVITY B: CLOUD SETUP (Recommended)

  1. Create GitHub account

  2. Create Streamlit Cloud account

  3. Connect repository

  4. Deploy simple app

No installation required.

πŸ”Ή REALISTIC PROJECT EXAMPLES (WEB APPS)

1️⃣ School Fee Tracking System
2️⃣ Market Price Dashboard
3️⃣ Youth Employment Portal
4️⃣ Climate Alert Dashboard
5️⃣ SACCO Loan Calculator

πŸ”Ή REFLECTION QUESTIONS

  • Was text-based coding harder than block coding?

  • Did installation present challenges?

  • Which development method fits our team?

  • Does our problem require a web-based solution?

  • Will AI improve our web app?

πŸ”Ή KEY TERMS

Web App – Interactive app running in browser
HTML – Structure
CSS – Design
JavaScript – Interactivity
Python – Programming language
Streamlit – Python web framework
IDE – Integrated Development Environment

πŸ”Ή STRATEGIC RECOMMENDATIONΒ 

For most schools:

βœ” Start with MIT App Inventor
βœ” Move to Python + Streamlit for advanced teams

Web apps are powerful for:

  • Data-heavy solutions

  • AI integration

  • Dashboard-style apps

ADDITIONAL RESOURCES

You’ll need to refer to documentation and support for help working with Python & Streamlit. Below are some good places to start.