- Level -Intermediate - Choice - Specialisation
- Understanding how AI is used to analyze, interpret, and reconstruct historical events, artifacts, and patterns
- Prerequisites - Introduction to AI or any foundational AI course
- Assessments -Micro Assessment weekly, Full Assessment last week.
Week 1 - AI in Historical Data Analysis
Learning OutcomeStudents will understand how AI processes historical data for insights.
1.1 Digitization and AI-Assisted Text Analysis in Historical Research.
1.2 AI for Historical Pattern Recognition and Event Correlation.
1.3 Predictive Models for Historical Trends.
Practical Component
Using AI tools to analyze historical records and extract key patterns.
Week 2 - AI for Artifact and Image Restoration
Learning OutcomeUnderstanding how AI restores and reconstructs historical images, manuscripts, and artifacts.
2.1 Image Enhancement, Reconstruction, and Colorization of Old Photos.
2.2 AI in Deciphering Ancient Scripts and Lost Languages.
2.3 Using GANs (Generative Adversarial Networks) for Artifact Restoration.
Practical Component
Hands-on image restoration and translation of historical texts using AI.
Week 3 - AI in Historical Simulations and Digital Twins
Learning OutcomeExploring how AI recreates historical settings and events.
3.1 Digital Twin Technology for Historical Reconstructions.
3.2 AI-Powered Interactive Museum Experiences.
3.3 AI in Predictive Modeling of Historical What-If Scenarios.
Practical Component
Creating an AI-generated historical simulation.
Week 4 - AI in Historical Storytelling and Content Generation
Learning OutcomeStudents will learn how AI generates narratives based on historical data.
4.1 AI-Generated Historical Documentaries and Storytelling.
4.2 Virtual and Augmented Reality for Historical Education.
4.3 NLP-Based Analysis of Historical Accounts and Letters.
Practical Component
Developing AI-generated historical narratives.
Week 5 - AI for Analyzing Wars, Empires, and Economic Shifts
Learning OutcomeApplying AI to study wars, empires, and economic patterns over time.
5.1 AI in Analyzing War Strategies and Outcomes.
5.2 AI in Trade and Economic History Predictions.
5.3 AI for Identifying Political and Social Patterns in History.
Practical Component
Using AI models to analyze past economic and political trends.
Week 6 - Project and Assessment
Learning OutcomeStudents will apply AI to a historical research project.
6.1 Selecting a Historical Topic and Data Collection.
6.2 Model Development, Self and Peer Assessment.
6.3 Final Presentations and Demonstrations.
Practical Component
AI-assisted historical research presentations.