What Children Would Learn
Drone Programming Functions Conditionals Loops

Our courses are aimed to teach coding skills in a fun and effective way. They make multiple things, some of them being random character generation in combination with if-else logic, to get new and secure passwords, making a night light turns itself on in the dark with if-statements and light sensor input, a weather station with sensor and a countdown timer with and if else loop and many more.

What Children Would Learn
Write algorithms, If-else logic Sensor control, Countdown timer

What Children Would Learn
Java Programming Programming Logic 3D Game Development Minecraft(TM)

What Children Would Learn
Creativity and imagination, Programming and coding skills, Lua programming platform, The art of digital communication.

Course Overview

This course is designed to equip students with advanced coding skills across multiple programming paradigms, preparing them for computer science, software development, and AI-driven applications. Students will explore object-oriented programming, web and app development, algorithms, and data structures, with an emphasis on hands-on projects and real-world problem solving.

Learning Outcomes:

• Master advanced programming concepts and object-oriented design

• Develop applications using Python, Java, or JavaScript

• Understand algorithms, data structures, and computational thinking

• Build interactive projects, games, or web applications

• Debug, test, and optimize code efficiently

• Collaborate on coding projects and document solutions professionally

Module 1: Advanced Programming Concepts

• Object-oriented programming (OOP): classes, objects, inheritance, polymorphism, encapsulation

• Functions, recursion, and modular programming

• Error handling and exceptions

• Debugging and testing techniques

• Code readability and documentation

Module 2: Data Structures & Algorithms

• Arrays, lists, stacks, queues, dictionaries/maps

• Linked lists, trees, and graphs (basic introduction)

• Sorting algorithms: bubble sort, selection sort, merge sort, quicksort

• Searching algorithms: linear and binary search

• Algorithm efficiency: Big O notation (introductory level)

• Practical application in coding projects

Module 3: Web Development Basics

• HTML, CSS, and JavaScript fundamentals

• Building interactive web pages

• DOM manipulation and events

• Responsive design and basic UI/UX principles

• Introduction to frameworks (e.g., Bootstrap, React.js basics)

Module 4: Application Development

• Introduction to desktop and mobile app development

• GUI programming with Python (Tkinter) or Java (Swing/JavaFX)

• Event-driven programming

• File handling, databases, and data persistence

• Building simple apps and interactive programs

Module 5: Python for Advanced Projects

• Python libraries: NumPy, Pandas, Matplotlib

• Introduction to automation using Python

• Basic AI/ML concepts with Python (e.g., simple predictive models)

• Data visualization and analysis

• Hands-on projects: calculators, chatbots, data-driven applications

Module 6: Game Development & Interactive Coding

• Introduction to game logic and physics in coding

• 2D games with Python (Pygame) or JavaScript (Canvas)

• Handling user input and events

• Simple AI in games (enemy movement, pathfinding)

• Debugging and testing interactive projects

Module 7: Collaborative Coding & Version Control

• Introduction to Git and GitHub

• Version control principles: commit, push, pull, branch

• Collaborative project management with GitHub

• Code reviews and documentation best practices

Module 8: Final Projects & Real-World Applications

• Students design and implement a complete coding project:

  • Web application, game, or automation tool

  • Use of multiple programming concepts: OOP, data structures, event handling

  • Integration of databases, APIs, or external libraries

• Prepare project documentation and presentation

• Optional: deploy web apps or share project on GitHub

Skills Gained

• Advanced programming in Python, Java, or JavaScript

• Object-oriented design and modular coding

• Problem-solving with algorithms and data structures

• Web and app development fundamentals

• Game development and interactive coding

• Version control and collaborative coding practices

• Real-world coding project experience

Course Overview

This course is designed to equip students with advanced coding skills across multiple programming paradigms, preparing them for computer science, software development, and AI-driven applications. Students will explore object-oriented programming, web and app development, algorithms, and data structures, with an emphasis on hands-on projects and real-world problem solving.

Learning Outcomes:

• Master advanced programming concepts and object-oriented design

• Develop applications using Python, Java, or JavaScript

• Understand algorithms, data structures, and computational thinking

• Build interactive projects, games, or web applications

• Debug, test, and optimize code efficiently

• Collaborate on coding projects and document solutions professionally

Module 1: Advanced Programming Concepts

• Object-oriented programming (OOP): classes, objects, inheritance, polymorphism, encapsulation

• Functions, recursion, and modular programming

• Error handling and exceptions

• Debugging and testing techniques

• Code readability and documentation

Module 2: Data Structures & Algorithms

• Arrays, lists, stacks, queues, dictionaries/maps

• Linked lists, trees, and graphs (basic introduction)

• Sorting algorithms: bubble sort, selection sort, merge sort, quicksort

• Searching algorithms: linear and binary search

• Algorithm efficiency: Big O notation (introductory level)

• Practical application in coding projects

Module 3: Web Development Basics

• HTML, CSS, and JavaScript fundamentals

• Building interactive web pages

• DOM manipulation and events

• Responsive design and basic UI/UX principles

• Introduction to frameworks (e.g., Bootstrap, React.js basics)

Module 4: Application Development

• Introduction to desktop and mobile app development

• GUI programming with Python (Tkinter) or Java (Swing/JavaFX)

• Event-driven programming

• File handling, databases, and data persistence

• Building simple apps and interactive programs

Module 5: Python for Advanced Projects

• Python libraries: NumPy, Pandas, Matplotlib

• Introduction to automation using Python

• Basic AI/ML concepts with Python (e.g., simple predictive models)

• Data visualization and analysis

• Hands-on projects: calculators, chatbots, data-driven applications

Module 6: Game Development & Interactive Coding

• Introduction to game logic and physics in coding

• 2D games with Python (Pygame) or JavaScript (Canvas)

• Handling user input and events

• Simple AI in games (enemy movement, pathfinding)

• Debugging and testing interactive projects

Module 7: Collaborative Coding & Version Control

• Introduction to Git and GitHub

• Version control principles: commit, push, pull, branch

• Collaborative project management with GitHub

• Code reviews and documentation best practices

Module 8: Final Projects & Real-World Applications

• Students design and implement a complete coding project:

  • Web application, game, or automation tool

  • Use of multiple programming concepts: OOP, data structures, event handling

  • Integration of databases, APIs, or external libraries

• Prepare project documentation and presentation

• Optional: deploy web apps or share project on GitHub

Skills Gained

• Advanced programming in Python, Java, or JavaScript

• Object-oriented design and modular coding

• Problem-solving with algorithms and data structures

• Web and app development fundamentals

• Game development and interactive coding

• Version control and collaborative coding practices

• Real-world coding project experience

Course Overview

This course is designed to equip students with advanced coding skills across multiple programming paradigms, preparing them for computer science, software development, and AI-driven applications. Students will explore object-oriented programming, web and app development, algorithms, and data structures, with an emphasis on hands-on projects and real-world problem solving.

Learning Outcomes:

• Master advanced programming concepts and object-oriented design

• Develop applications using Python, Java, or JavaScript

• Understand algorithms, data structures, and computational thinking

• Build interactive projects, games, or web applications

• Debug, test, and optimize code efficiently

• Collaborate on coding projects and document solutions professionally

Module 1: Advanced Programming Concepts

• Object-oriented programming (OOP): classes, objects, inheritance, polymorphism, encapsulation

• Functions, recursion, and modular programming

• Error handling and exceptions

• Debugging and testing techniques

• Code readability and documentation

Module 2: Data Structures & Algorithms

• Arrays, lists, stacks, queues, dictionaries/maps

• Linked lists, trees, and graphs (basic introduction)

• Sorting algorithms: bubble sort, selection sort, merge sort, quicksort

• Searching algorithms: linear and binary search

• Algorithm efficiency: Big O notation (introductory level)

• Practical application in coding projects

Module 3: Web Development Basics

• HTML, CSS, and JavaScript fundamentals

• Building interactive web pages

• DOM manipulation and events

• Responsive design and basic UI/UX principles

• Introduction to frameworks (e.g., Bootstrap, React.js basics)

Module 4: Application Development

• Introduction to desktop and mobile app development

• GUI programming with Python (Tkinter) or Java (Swing/JavaFX)

• Event-driven programming

• File handling, databases, and data persistence

• Building simple apps and interactive programs

Module 5: Python for Advanced Projects

• Python libraries: NumPy, Pandas, Matplotlib

• Introduction to automation using Python

• Basic AI/ML concepts with Python (e.g., simple predictive models)

• Data visualization and analysis

• Hands-on projects: calculators, chatbots, data-driven applications

Module 6: Game Development & Interactive Coding

• Introduction to game logic and physics in coding

• 2D games with Python (Pygame) or JavaScript (Canvas)

• Handling user input and events

• Simple AI in games (enemy movement, pathfinding)

• Debugging and testing interactive projects

Module 7: Collaborative Coding & Version Control

• Introduction to Git and GitHub

• Version control principles: commit, push, pull, branch

• Collaborative project management with GitHub

• Code reviews and documentation best practices

Module 8: Final Projects & Real-World Applications

• Students design and implement a complete coding project:

  • Web application, game, or automation tool

  • Use of multiple programming concepts: OOP, data structures, event handling

  • Integration of databases, APIs, or external libraries

• Prepare project documentation and presentation

• Optional: deploy web apps or share project on GitHub

Skills Gained

• Advanced programming in Python, Java, or JavaScript

• Object-oriented design and modular coding

• Problem-solving with algorithms and data structures

• Web and app development fundamentals

• Game development and interactive coding

• Version control and collaborative coding practices

• Real-world coding project experience

Kindergarten Science Content (BC Curriculum)

The learning standards for Kindergarten Science are organized into four content areas, known as the “Big Ideas.” The approach is holistic and experiential, focusing on exploration and play.

1. Living Things: Plants and Animals

• Core Question: What can we discover about the natural world through our senses?

• Key Content:

  • Basic Needs: Recognizing that living things have basic needs (e.g., plants need water/sunlight, animals need water/food).

  • Observable Features: Using the senses to explore the characteristics of local plants and animals (e.g., colour, size, texture, sound).

  • First Peoples Knowledge: Sharing stories and knowledge from First Peoples about local plants and animals, fostering a sense of respect for all living things.

2. Matter and Materials: Objects in Our World

• Core Question: How can we explore and describe the properties of objects?

• Key Content:

  • Physical Properties: Using the senses to observe and describe objects (e.g., rough/smooth, hard/soft, heavy/light, colour, shape).

  • Object Interactions: Exploring how objects and materials can be moved, stacked, or changed (e.g., through building, mixing, or shaping).

  • Natural and Human-Made: Beginning to notice differences between objects found in nature and those made by people.

3. Energy: Forces and Motion

• Core Question: How can we make objects move?

• Key Content:

  • Causes of Motion: Exploring how a push or a pull can make objects start, stop, or change direction.

  • Effects of Forces: Observing how the strength of a push or pull changes how an object moves.

  • Simple Machines: Exploring ramps, levers, and wheels through play.

4. Earth and Space: Our Changing Environment

• Core Question: How do daily and seasonal changes affect us?

• Key Content:

  • Daily and Seasonal Changes: Observing and describing changes in weather, light, and temperature.

  • Effects on Living Things: Noticing how seasonal changes affect plants, animals, and human activities (e.g., clothing, play).

  • First Peoples Knowledge: Sharing First Peoples stories and traditions that are connected to seasonal cycles and the natural world.

Curricular Competencies (The “Doing” of Science)

These are the processes and skills students use to learn the science content through play and inquiry.

• Questioning and Predicting: Show curiosity and ask simple questions about objects and events.

• Planning and Conducting: Make exploratory observations using the senses. Engage in simple investigations through play.

• Processing and Analyzing Data and Information: Share observations and ideas through oral language and drawing. Sort and classify objects based on one or two attributes.

• Evaluating: Compare observations with those of others through discussion.

• Applying and Innovating: Use learning in new contexts, such as creative play. Demonstrate a sense of responsibility for their immediate environment.

• Communicating: Express ideas and feelings in a variety of ways (e.g., oral language, drawing, movement, role-play).

Big Ideas (The Core Concepts)

These are the overarching understandings students will develop through their explorations.

• Living Things: Plants and animals have observable features.

• Matter: Objects have observable characteristics that can be described and compared.

• Energy: The motion of objects depends on their properties.

• Earth and Space: Daily and seasonal changes affect all living things.

Key Changes & Focus for Kindergarten

• Play-Based Learning: Science is integrated into daily play and exploration.

• Sensory Exploration: The five senses are the primary tools for investigation.

• Local Environment: Focus is on the immediate, familiar environment (classroom, playground, neighbourhood).

• Oral Language Development: Emphasis on talking about observations, asking questions, and sharing ideas.

• Holistic Integration: Science is not a separate subject but is woven into stories, outdoor play, art, and daily routines.