SS1 Third Term Computer Science Lesson Note and Scheme of Work

Week 1 (Third Term): Artificial Intelligence Fundamentals

Lesson Note: Introduce the basics of Artificial Intelligence (AI).

Scheme of Work: Cover AI concepts, machine learning, and natural language processing.

Activity: Discuss real-world applications of AI and its impact on various industries.

Week 2: Neural Networks and Deep Learning

Lesson Note: Dive into neural networks and deep learning.

Scheme of Work: Discuss the architecture of neural networks and the principles of deep learning.

Activity: Hands-on session implementing a simple neural network.

Week 3: Computer Vision

Lesson Note: Explore the field of computer vision and its applications.

Scheme of Work: Discuss image processing, feature extraction, and object recognition.

Activity: Image recognition project using a pre-trained model.

Week 4: Natural Language Processing (NLP)

Lesson Note: Introduce Natural Language Processing and its significance.

Scheme of Work: Cover text processing, sentiment analysis, and language modeling.

Activity: Develop a basic chatbot using NLP concepts.

Week 5: Ethics in AI

Lesson Note: Discuss ethical considerations in Artificial Intelligence.

Scheme of Work: Explore bias in AI, privacy concerns, and responsible AI development.

Activity: Class debate on ethical dilemmas related to AI.

Week 6: Reinforcement Learning

Lesson Note: Introduce reinforcement learning and its applications.

Scheme of Work: Discuss reward-based learning, Markov Decision Processes.

Activity: Implement a simple reinforcement learning algorithm.

Week 7: AI in Healthcare

Lesson Note: Explore AI applications in the healthcare sector.

Scheme of Work: Discuss diagnostic tools, predictive analytics, and personalized medicine.

Activity: Research and present a case study on AI in healthcare.

Week 8: AI in Business and Industry

Lesson Note: Discuss the impact of AI on businesses and industries.

Scheme of Work: Explore automation, decision support systems, and AI-driven innovation.

Activity: Group project on proposing AI solutions for a specific industry.

Week 9: AI and Robotics Integration

Lesson Note: Explore the synergy between AI and robotics.

Scheme of Work: Discuss autonomous robots, AI-driven automation in robotics.

Activity: Collaborative project to design and program an AI-driven robot.

Week 10: Advanced Topics in AI

Lesson Note: Cover advanced AI topics like generative models, transfer learning.

Scheme of Work: Discuss the latest advancements and trends in AI research.

Activity: Research project on a cutting-edge AI topic.

Week 11: Revision Week

Lesson Note: Review key concepts covered in the term.

Scheme of Work: Provide practice questions and activities for revision.

Activity: Conduct a mock quiz and address any outstanding questions.

Week 12: Examination Week

Lesson Note: Administer examinations covering the term’s topics.

Scheme of Work: Allocate time for both theory and practical exams.

Activity: Monitor and assess students during the examination period.

Week 13: School Dismissal Week

Lesson Note: Wrap up the academic year, summarize key learnings, and encourage continued exploration in the field of Artificial Intelligence.

Scheme of Work: No new topics; focus on a brief recap and farewell.

Activity: Award certificates of completion and achievement for the academic year.