Unit 4: Programming

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What is Computational Thinking?

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Computational thinking allows us to take complex problems, understand them, and develop possible solutions for the problems. It involves decomposition, pattern recognition, abstraction, and algorithms.

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What is Decomposition in Computational Thinking?

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Decomposition involves breaking down a complex problem and processes into smaller, more manageable parts.

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What is Pattern Recognition in Computational Thinking?

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Pattern recognition involves looking for similarities among and within problems, helping to make informed decisions and predictions based on existing evidence.

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What is Abstraction in Computational Thinking?

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Abstraction involves focusing on the important information only and ignoring irrelevant details.

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What is an Algorithm in Computational Thinking?

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An algorithm is a step-by-step procedure to solve problems.

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What are some uses of Software Applications?

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1. Automation Tasks (e.g., Email marketing automation, payroll systems). 2. Problem Solving (e.g., Engineering design tools, weather forecasts). 3. Communication and collaboration (e.g., Zoom, Teams). 4. Data Storage and Management (e.g., Databases, CRM systems). 5. Learning and Development (e.g., Khan Academy, VLE). 6. Ecommerce and Financial transactions (e.g., Amazon, Paypal, eBay).

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What are some positive impacts of using software applications?

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1. Increased Productivity. 2. Global Connectivity. 3. Innovation and Creativity. 4. Improved Quality of life.

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What are some challenges and concerns of using software applications?

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1. Privacy and Security Risks. 2. Digital Divide. 3. Job Displacement. 4. Mental Health Impacts. 5. Ethical Concerns.

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What is Programming?

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Programming is the process of writing a series of instructions (programs) that tells a computer what to do. These instructions can be written in different ways, called programming languages.

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What are some key concepts of Programming?

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1. Programming Languages. 2. Algorithms. 3. Data Structures. 4. Control Structures. 5. Debugging.