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Comp – Quarter 3

SSC-I (9th) · Computer · Afaq Sun

Test your understanding of Computational Thinking with 22 syllabus-aligned MCQs designed for SSC-I (9th) Afaq Sun students.

Use this short practice session to revise key concepts, identify weak areas, and prepare for your board examination.

Sample Questions

See what you’ll practice in this quiz.

  1. What is the first step of computational thinking?
  2. Which computational thinking technique involves breaking a big problem into smaller parts?
  3. What is pattern recognition in computational thinking?

+19 more questions — Start Quiz

What You’ll Practice

  • Chapter 7: Computational Thinking Definition of Computational Thinking: Decomposition, Pattern Recognition, Abstraction | Principles of Computational Thinking: Problem Understanding, Problem Simplification, Solution Selection and Design | Algorithm Design Methods: Flowcharts, Importance of Flowcharts, Flowchart Symbols, Pseudocode, Differentiating Flowcharts and Pseudocode | Algorithmic Activities: Design and Evaluation Techniques, Time Complexity, Space Complexity | Dry Run: Dry Run of a Flowchart, Dry Run of Pseudocode, Simulation | Introduction to LARP (Logic of Algorithms for Resolution of Problems): Writing Algorithms, Drawing Flowcharts in LARP | Error Identification and Debugging: Types of Errors, Debugging Techniques, Common Error Messages in LARP
  • Chapter 8: Web Development with HTML, CSS and JavaScript Web Development: Front-end development, Back-end development, Client-server working, Importance of the web | Basic Components of Web Development: HTML, CSS, JavaScript, Browsers and servers, Hosting and domain names | Getting Started with HTML: History of HTML, Setting up a Development Environment, Creating a “Hello, World!” HTML Application, Writing the HTML Code, Viewing the HTML File | HTML Basic Structure: HTML Tags | Creating Content with HTML: Headings, Example, Paragraphs, Links, Images, Lists, Unordered List, Ordered List, Creating Tables in HTML, HTML Comments | Styling with CSS: Basic Structure of CSS, Integrating CSS in HTML, Styling Backgrounds, Styling HTML Elements with Fonts, Colors, Backgrounds Styling Fonts, Adding Animations and Transitions Using CSS, Adding Animations, Adding Transitions | Introduction to JavaScript: Basic Syntax and Examples, Declaring Variables, Dry Run Example, Data Types, Functions in JavaScript, Simple Function, Function with Parameters, Function with Multiple Parameters, Handling Events and User Input, Managing Events and User Interactions with JavaScript, Creating Interactive Elements, Developing Simple Programs and Forms, Integrating JavaScript with HTML for Interactive Functionality | Developing and Debugging: Debugging Techniques, Identifying and Fixing Common Issues, Deploying and Testing, Strategies for Testing Web Pages
  • Chapter 9: Data Science and Data Gathering Data: Raw data, Information, Knowledge, Sources of data, Qualities of good data | Data Types (Qualitative and Quantitative): Qualitative Data, Quantitative Data | Organising and Analysing Data: Data Collection, Gathering Data from Online Sources | Data Types (Structured and Unstructured Data): Structured Data, Unstructured Data | Data Storage Techniques: Spreadsheets, Databases, Data Warehouses, NoSQL | Data Visualization: Importance and Benefits of Data Visualization, Visualizing Different Data Types | Data Pre-Processing and Analysis: Data Pre-processing, Data Pre-processing Techniques, Implementing Data Validation and Cleaning Processes, Data Analysis Techniques, Quantitative Analysis | Collaborative Tools and Cloud Storage: Cloud Storage for Data Management, Remote Access, Data Backups, Collaborative Authoring, Benefits of Collaborative Tools | Introduction to Data Science: Understanding Data Science, Interdisciplinary Nature of Data Science:, Data Science Workflow | Big Data and its Applications: Introduction to Big Data, Practical Applications of Big Data, Tools and Techniques in Data Science, Data Science Tools, Data Science Techniques, Applications of Data Science Techniques, Predictions for the Future of Digital Tools in Data Management and

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