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Course Content
Chapter 1: Introduction to Artificial Intelligence (14)
Introduction to Chapter 1: Introduction to Artificial Intelligence (14) concepts.
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Lesson 1.1.1: Understanding the Purpose and Goals of Artificial Intelligence in Modern Technology
Lesson 1.1.2: Exploring Practical Applications of AI Across Various Industries
Lesson 1.1.3: Identifying Key Domains of Artificial Intelligence for Specialized Learning
Lesson 1.1.4: Examining Popular AI Tools and Their Functions in Problem Solving
Lesson 1.1.5: Analyzing How AI Solves Problems Through Algorithms and Data Processing
Lesson 1.1.6: Recognizing Current Limitations and Challenges in AI Development
Lesson 1.1.7: Evaluating the Ethical Implications of AI in Society and Technology
Lesson 1.1.8: Practicing Basic AI Concepts with Simple Demonstration Projects
Lesson 1.1.9: Understanding the Role of Data in Training AI Models Effectively
Lesson 1.1.10: Exploring Future Trends and Innovations in Artificial Intelligence
Lesson 1.1.11: Applying AI Tools to Solve a Simple Problem in a Controlled Environment
Lesson 1.1.12: Discussing the Impact of AI on Employment and Workforce Automation
Lesson 1.1.13: Analyzing Case Studies of Successful AI Implementations in Real-World Scenarios
Lesson 1.1.14: Developing a Basic AI Project to Reinforce Learning Objectives
Chapter 2: Virus and Anti-Virus (12)
Introduction to Chapter 2: Virus and Anti-Virus (12) concepts.
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Lesson 2.1.1: Defining What Computer Viruses Are and Their Basic Characteristics
Lesson 2.1.2: Understanding What a Virus Cannot Do to Clarify Its Limitations
Lesson 2.1.3: Exploring How Computer Viruses Spread Across Networks and Devices
Lesson 2.1.4: Identifying Different Types of Computer Viruses for Threat Awareness
Lesson 2.1.5: Recognizing Other Harmful Programs Beyond Traditional Viruses
Lesson 2.1.6: Learning Protection Methods Against Computer Viruses Using Antivirus Software
Lesson 2.1.7: Implementing Safe Computing Practices to Prevent Virus Infections
Lesson 2.1.8: Evaluating the Effectiveness of Antivirus Tools in Real-Time Threat Detection
Lesson 2.1.9: Understanding the Role of Updates in Maintaining Antivirus Protection
Lesson 2.1.10: Practicing Virus Removal Techniques Using Antivirus Software
Lesson 2.1.11: Analyzing the Impact of Viruses on System Performance and Data Security
Lesson 2.1.12: Developing a Security Plan to Protect Against Viral Threats
Chapter 3: HTML and CSS (18)
Introduction to Chapter 3: HTML and CSS (18) concepts.
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Lesson 3.1.1: Understanding HTML Tags and Attributes for Web Page Structure
Lesson 3.1.2: Inserting Images into Web Pages Using HTML for Visual Enhancement
Lesson 3.1.3: Creating Hyperlinks to Connect Web Pages Effectively
Lesson 3.1.4: Designing Lists and Tables Using HTML for Organized Content Presentation
Lesson 3.1.5: Building Forms with HTML for User Input Collection
Lesson 3.1.6: Applying Basic Text Formatting with HTML (Font, Size, Color)
Lesson 3.1.7: Introducing CSS for Styling HTML Elements and Enhancing Design
Lesson 3.1.8: Using CSS to Control Layout and Positioning of Web Page Elements
Lesson 3.1.9: Applying Colors and Backgrounds with CSS for Visual Appeal
Lesson 3.1.10: Creating Responsive Design Elements Using CSS Media Queries
Lesson 3.1.11: Debugging HTML and CSS Code to Ensure Web Page Functionality
Lesson 3.1.12: Developing a Simple Web Page Combining HTML and CSS Techniques
Lesson 3.1.13: Exploring Advanced CSS Selectors for Targeted Styling
Lesson 3.1.14: Implementing CSS Flexbox for Modern Web Layout Design
Lesson 3.1.15: Using CSS Transitions and Animations to Enhance User Experience
Lesson 3.1.16: Creating a Multi-Page Website with Consistent CSS Styling
Lesson 3.1.17: Analyzing the Role of HTML and CSS in Responsive Web Design
Lesson 3.1.18: Evaluating a Web Project for Usability and Aesthetic Quality
Chapter 4: MS Access 2010 (14)
Introduction to Chapter 4: MS Access 2010 (14) concepts.
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Lesson 4.1.1: Understanding Important Database Terms and Concepts
Lesson 4.1.2: Exploring the Functions of a Database Management System (DBMS)
Lesson 4.1.3: Identifying and Using Database Objects (Tables, Queries, Forms, Reports)
Lesson 4.1.4: Creating and Managing Tables in MS Access for Data Storage
Lesson 4.1.5: Designing Queries to Retrieve and Filter Data Effectively
Lesson 4.1.6: Building Forms for User-Friendly Data Entry in MS Access
Lesson 4.1.7: Generating Reports to Present Data Visually in MS Access
Lesson 4.1.8: Applying Relationships Between Tables for Data Integrity
Lesson 4.1.9: Using Filters and Sorting to Organize Database Content
Lesson 4.1.10: Troubleshooting Common Issues in MS Access Database Management
Lesson 4.1.11: Creating a Simple Database Project Using MS Access Tools
Lesson 4.1.12: Understanding the Importance of Data Backup in Database Systems
Lesson 4.1.13: Analyzing the Role of Databases in Business and Personal Data Management
Lesson 4.1.14: Evaluating a Database Design for Efficiency and Usability
Chapter 5: Algorithms and Flowcharts (11)
Introduction to Chapter 5: Algorithms and Flowcharts (11) concepts.
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Lesson 5.1.1: Defining Algorithms and Their Role in Problem-Solving
Lesson 5.1.2: Understanding the Importance of Logical Sequence in Algorithm Design
Lesson 5.1.3: Creating Simple Algorithms for Basic Computational Tasks
Lesson 5.1.4: Introducing Flowcharts as Visual Representations of Algorithms
Lesson 5.1.5: Using Standard Flowchart Symbols for Effective Diagram Creation
Lesson 5.1.6: Designing Flowcharts for Sequential and Conditional Logic
Lesson 5.1.7: Applying Algorithms and Flowcharts to Solve Practical Problems
Lesson 5.1.8: Analyzing the Efficiency of Algorithms Using Time and Space Complexity
Lesson 5.1.9: Practicing Algorithm Development with Iterative Processes
Lesson 5.1.10: Evaluating Flowchart Designs for Clarity and Accuracy
Lesson 5.1.11: Developing a Complex Algorithm and Its Corresponding Flowchart
Chapter 6: Introduction to Programming Language (Python) (12)
Introduction to Chapter 6: Introduction to Programming Language (Python) (12) concepts.
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Lesson 6.1.7: Debugging Common Errors in Python Code for Effective Programming
Lesson 6.1.8: Creating Simple Python Programs to Solve Practical Problems
Lesson 6.1.9: Exploring Python Syntax and Best Practices for Code Readability
Lesson 6.1.10: Understanding the Role of Comments in Python Program Documentation
Lesson 6.1.11: Practicing Python Coding with Interactive Exercises
Lesson 6.1.12: Developing a Small Python Project Integrating Learned Concepts
Lesson 6.1.1: Understanding Variables and Data Types in Python Programming
Lesson 6.1.2: Performing Arithmetic Operations Using Python Operators
Lesson 6.1.3: Implementing If-Elif-Else Conditions for Decision-Making in Python
Lesson 6.1.4: Using While Loops for Repetition in Python Programs
Lesson 6.1.5: Applying For Loops to Iterate Over Sequences in Python
Lesson 6.1.6: Combining Loops and Conditions for Complex Program Logic
Chapter 7: Advanced Python (12)
Introduction to Chapter 7: Advanced Python (12) concepts.
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Lesson 7.1.1: Defining and Using Functions for Code Reusability in Python
Lesson 7.1.2: Implementing Nested Loops for Complex Iterative Tasks in Python
Lesson 7.1.3: Handling Exceptions with Try-Except Blocks for Robust Programming
Lesson 7.1.4: Working with Lists and Dictionaries as Advanced Data Structures
Lesson 7.1.5: Applying Object-Oriented Programming Basics in Python
Lesson 7.1.6: Using Modules and Libraries to Enhance Python Functionality
Lesson 7.1.7: Creating Python Programs with User Input and Output Handling
Lesson 7.1.8: Analyzing Performance of Advanced Python Code for Optimization
Lesson 7.1.9: Developing a Medium-Sized Python Project with Multiple Features
Lesson 7.1.10: Exploring File Input/Output Operations in Python Programming
Lesson 7.1.11: Practicing Advanced Debugging Techniques for Python Applications
Lesson 7.1.12: Evaluating the Scalability and Maintainability of Python Code
Chapter 8: Advanced HTML and CSS (14)
Introduction to Chapter 8: Advanced HTML and CSS (14) concepts.
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Lesson 8.1.1: Mastering Advanced HTML Tags for Complex Web Structures
Lesson 8.1.2: Implementing CSS Grid for Sophisticated Web Page Layouts
Lesson 8.1.3: Using CSS Frameworks to Streamline Web Design Processes
Lesson 8.1.4: Creating Interactive Elements with CSS and HTML Events
Lesson 8.1.5: Applying Advanced CSS Animations for Dynamic Web Effects
Lesson 8.1.6: Designing Responsive Navigation Menus Using CSS Media Queries
Lesson 8.1.7: Building Multi-Column Layouts with CSS for Professional Design
Lesson 8.1.8: Integrating External CSS Files for Efficient Styling Management
Lesson 8.1.9: Troubleshooting Advanced CSS and HTML Compatibility Issues
Lesson 8.1.10: Developing a Complete Website with Advanced HTML and CSS Techniques
Lesson 8.1.11: Exploring CSS Preprocessors for Enhanced Workflow Efficiency
Lesson 8.1.12: Analyzing Web Accessibility Standards in HTML and CSS Design
Lesson 8.1.13: Creating a Portfolio Website with Advanced Styling and Features
Lesson 8.1.14: Evaluating the Performance and Load Time of a Styled Website
Chapter 9: Troubleshooting (12)
Introduction to Chapter 9: Troubleshooting (12) concepts.
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Lesson 9.1.1: Understanding the Basics of Computer Troubleshooting Techniques
Lesson 9.1.2: Explaining Why Computer Maintenance is Essential for System Health
Lesson 9.1.3: Identifying Key Areas Requiring Troubleshooting in Computer Systems
Lesson 9.1.4: Following Systematic Steps for Effective Troubleshooting Processes
Lesson 9.1.5: Addressing Common Hardware Problems and Their Solutions
Lesson 9.1.6: Resolving Software Issues Using Diagnostic Tools
Lesson 9.1.7: Applying Preventive Maintenance to Avoid Future Computer Problems
Lesson 9.1.8: Troubleshooting Network Connectivity Issues Effectively
Lesson 9.1.9: Using Logs and Error Messages to Diagnose System Failures
Lesson 9.1.10: Practicing Troubleshooting Scenarios with Hands-On Exercises
Lesson 9.1.11: Analyzing the Impact of Regular Maintenance on System Longevity
Lesson 9.1.12: Developing a Troubleshooting Guide for Common Computer Issues
Grade 8 Cambridge Computing / ICT

Detailed explanation of Lesson 1.1.5: Analyzing How AI Solves Problems Through Algorithms and Data Processing.

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