Lesson 10: Computational Thinking Challenge: A Collaborative Project

Learning Objectives Apply the four pillars of computational thinking (decomposition, pattern recognition, abstraction, algorithms) to a project plan. Break down a large project idea into smaller, manageable tasks for a team. Define clear roles and responsibilities within a small project group. Design a simple algorithm (flowchart or pseudocode) for a core feature of a collaborative project. Create a plan for integrating individual code components into a single working program. By the end of a this lesson, students will be able to effectively communicate project progress and challenges to their teammates. Have you ever tried to build a giant LEGO set with friends? 🤔 How do you decide who builds what so it all fits together perfectly in the end? In this lesson, we'll us...

TermDefinitionExample DecompositionThe process of breaking down a large, complex problem into smaller, more manageable sub-problems.If the project is to build a quiz app, you would decompose it into smaller tasks like: 1) creating questions, 2) displaying questions, 3) checking answers, 4) keeping score, and 5) showing the final result. Task DelegationAssigning specific sub-problems or tasks to different members of a team based on their skills and the project plan.In the quiz app team, Maria could be in charge of creating the questions (content), while Leo is in charge of writing the code for keeping score (logic). Modular DesignDesigning a program as a collection of independent modules (like functions or files) that can be developed separately and then connected.Creating a `check_answer(...

The 'Divide and Conquer' Strategy 1. Decompose the problem. 2. Assign tasks. 3. Develop individual parts. 4. Integrate the parts. Use this four-step process for any large project. It ensures that the problem is broken down logically and that everyone on the team knows their role, making the final integration step much smoother. The 'Function Stub' Pattern def function_name(parameters): # TODO: Write the code for this later return expected_value When your code needs a function that a teammate is building, you can create a temporary placeholder version called a 'stub'. This allows you to test your part of the code without having to wait for your teammate to be completely finished.