Artificial Intelligence applications | CS PPT +Worksheets +Activity + Mcq Quiz + Answers_Marking

Artificial Intelligence applications | CS PPT +Worksheets +Activity + Mcq Quiz + Answers_Marking

1 · Core Lecture26Cover, 8 Learning Objectives, What is AI (Narrow/General/Super + timeline), AI Methods (6 types), Section dividers, ANN Structure (visual network diagram), How ANN Learns (6-step flow), Types of ML (Supervised/Unsupervised/RL), Daily Applications (6 sectors), Worked Example – Medical Diagnosis, Limitations (6 cards), AI Replacing Humans (bar chart + analysis), Artificial Brain (neuromorphic, Neuralink, HBP), Artificial Womb (ectogenesis + AI role + ethics), Artificial Humans (androids, digital humans, mind uploading), Complete AI Technology table, Future Timeline (2025–2050+), Practice Questions, ANN Calculation Worked Example, Ethics & Governance, Summary slide, End slide2 · Worksheet519 graded questions (1–6 marks) across: Neural Networks, ML Methods, Applications, Limitations/Ethics/Job Replacement, Future AI/Brain/Womb/AGI, Extended evaluation3 · Activity6Cover + 6 activities: Human Neural Network Simulation (groups), AI Speed-Mapping table (pairs), The AI Trial debate (class), Spot the Bias case studies (individual), Design a Future AI System (groups), AI vs Human Role Play (class)4 · Marking Scheme6Full model answers for all 19 questions, mark-per-point breakdown, AO3 guidance, examiner notes — Teacher Only5 · MCQ Quiz1412 questions with A–D options, green correct-answer highlight, progress bar, score band guide