Comp – Half Book 2 Quiz — Computer (SSC-I (9th), Afaq Sun) | 22 MCQs

Sample Questions

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

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Chapter 10: Emerging Technologies in Computer Science Introduction to Artificial Intelligence: Understanding AI, Historical Context of Artificial Intelligence:, Applications and,Subfields | AI Algorithms and Techniques: Types of AI Algorithms:, Explainable (Whitebox) Algorithms, Unexplainable (Blackbox) Algorithms | Introduction to Internet of Things: Understanding IoT, Definition and Components, IoT Applications, Security and Privacy Considerations in IoT Deployments: | Implications and Future of Emerging Technologies: Implications of AI and IoT, Societal Impact and Adaptation
Chapter 11: Ethical, Social, and Legal Concerns in Computer Usage Responsible Computer Usage: Respecting privacy and property, Avoiding plagiarism, piracy and hacking, Digital citizenship, Healthy computer habits | Safe and Secure Operation of Digital Platforms: Safe Operation of Digital Platforms and Devices, Secure Use of Digital Platforms | Best Practices in Online Behavior: Responsible Use of Social Media, Email, Cloud Services, and Online, Importance of Privacy Settings and DataSecurity Measures | Legal and Ethical Frameworks: Legal Frameworks for Privacy, Understanding Privacy Laws and Their Implications, Laws Protecting User Privacy and Consequences of Unauthorized, Data Ethics and ResponsibleUse, Introduction 4o Data Ethics and _,PrinciplesGoverning Data, Ethical Considerations in Data Collection, Storage, and Sharing, Ethical Guidelines for Data Usage'and Management | Intellectual Property Rights: Concepts of Intellectual Property, Copyright, Trademarks, Patents, and Their Significance in Digital, Ethical and Legal’Responsibilities Regarding Intellectual Property, Legal Compliance in Computing | Responsible Internet Use: Safe Data Searches and Online Research, Techniques for Safe Data Searches and Credibility Assessment, Avoiding Privacy Risks During Online Research and Information, Preventing Internet Addiction, Understanding Internet Addiction and Promoting Balanced Usage, Strategies for Digital Well-being and Fostering Healthy Online, Social Networking Safety and Online Interactions, Privacy Settings, Responsible Sharing, and Online Etiquette, Addressing Cyberbullying, Harassment, and Respectful Online | Impact of Computing on Society: Influence on Behaviors and Practices, Environmental, Ethical, Legal, Societal, Economic, and Cultural, Role of Computing in Globaldrade, Communication, and Cultural, Assessing Computing Advancements, Benefits and Risks of Computing Advancements (Social, Trade-offs Between Privacy, Security, and Usability in Computing
Chapter 12: Entrepreneurship in Digital Age Entrepreneurship: Examples of Entrepreneurship, Tech Startups, Risk-Taking, Key Characteristics of Entrepreneurs, Economic Growth, Innovation and Progress | Entrepreneurship in the Digital Landscape: Digital Transformation and Entrepreneurship, Role of Digital Technologies, Social Media, Mobile Apps, Big Data Analytics, Digital Marketing and E-commerce, E-commerce Platforms, Case Studies, Daraz, Bykea | Digital Tools and Platforms: Overview of Digital Tools, Online Marketing Tools | Business Idea Generation: Ideation and Problem Solving, Problem Identification, Creative Problem Solving | Developing Business Plans: Creating Comprehensive Business, Components of a Business Plan, Prototyping and Iteration | Ethical and Sustainable Entrepreneurship: Ethical Practices and Sustainable Growth, Ethical Entrepreneurship, Sustainable Development Goals (SDGs)
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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SSC-I (9th) Computer Afaq Sun Series Chapter 10: Emerging Technologies in Computer Science

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Comp – Half Book 2

Unit 1: Computer Systems

Ch 2

Unit 3: Programming Fundamentals

Unit 4: Data and Analysis

Unit 5: Application of Computer Science

Unit 6: Impacts of Computing

Unit 7: Entrepreneurship

Unit 1: Computer Systems + Ch 2

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