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USA Year 11
USA Year 11 Computer Science
USA Year 11 Computer Science
Curriculum
11 Sections
46 Lessons
60 Hours
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Advanced Software Development
12
0.0
Advanced Object-Oriented Programming
0.1
Designing reusable classes
0.2
Implementing inheritance hierarchies
0.3
Design Patterns and Best Practices
0.4
Applying design patterns
0.5
Coding conventions and style guides
0.6
Software Architecture and Design Principles
0.7
Architectural patterns (e.g., MVC, Microservices)
0.8
SOLID principles
0.9
Code Optimization and Refactoring
0.10
Performance profiling and tuning
0.11
Refactoring techniques for code maintainability
Cloud Computing
4
0.0
Introduction to Cloud Computing
0.1
Cloud Platforms
0.2
DevOps Principles and Practices
0.3
Containerization and Orchestration
Web Development and Full-Stack Programming
4
1.0
Advanced Web Technologies
1.1
Server-Side Development
1.2
Database Integration and ORM
1.3
Building Full-Stack Applications
Advanced Data Science and Machine Learning
4
2.0
Advanced Data Analysis and Visualization
2.1
Deep Learning and Neural Networks
2.2
Natural Language Processing (NLP)
2.3
Reinforcement Learning
Advanced Cybersecurity
4
3.0
Threat Detection and Response
3.1
Ethical Hacking and Penetration Testing
3.2
Security in Cloud Environments
3.3
Cryptography in Practice
Emerging Technologies
4
4.0
Internet of Things (IoT)
4.1
Augmented Reality (AR) and Virtual Reality (VR)
4.2
Blockchain Technology
4.3
Quantum Computing Concepts
Mobile and Cross-Platform Development
4
5.0
Advanced Mobile App Development
5.1
Cross-Platform Frameworks
5.2
App Deployment and Monetization
5.3
Emerging Trends in Mobile Development
Human-Computer Interaction (HCI)
0
Computational Thinking and Problem Solving
0
Software Testing and Quality Assurance
6
8.0
Advanced Algorithmic
8.1
Problem Solving
8.2
Computational Complexity
8.3
Algorithmic
8.4
Paradigms (e.g., Divide and Conquer, Dynamic Programming)
8.5
Solving Real-world Problems with Algorithms
Computational Ethics and Social Impacts
4
9.0
Ethical Considerations in AI and Machine Learning
9.1
Bias and Fairness in Algorithms
9.2
Privacy and Security Ethics
9.3
Societal Implications of Technology
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