INTERDISCIPLINARY AI WEEK

AI Interdisciplinary Week

April 7 - 10, 2026 | Tuesday - Friday

🤖
AI Workshop Hub

All workshop materials, lessons, labs, and resources are hosted on the dedicated AI Workshop site. Click below to access the full schedule, readiness protocol, and curriculum.

Note: Monday April 6 is Easter Monday (public holiday). The workshop runs Tuesday through Friday.

📋 Quizzes This Week

Quiz 4: Remote Sensing & Earth Engine

NDVI, GEE cloud processing, spatial resolution, classification, and ee.ImageCollection.

📅 April 7 | ⏱ 10:00 - 10:10 CEST | 20 Points
Quiz 5: SAR & Hyperspectral

SAR advantages, backscatter, surface roughness, hyperspectral vs. multispectral, and spectral signatures.

📅 April 8 | ⏱ 10:00 - 10:10 CEST | 20 Points

📅 Daily Schedule

Tuesday, Apr 7 Shortened AM
10-11
Lecture The Local Intelligence Shift Chatbots to agents. Tokenization, context windows, local LLMs.
14-16
Lab Local TA + Multi-Tool Prototype AI Toolkit setup, 7B model, HuggingFace deployment.
16-17
Office Hours Open Lab & 1:1 Support
Wednesday, Apr 8
10-12
Lecture Neural Link Terminal + Tool-Use CLI mastery, VS Code, agents.md, function calling.
14-16
Lab 1-Hour App + Git & Reproducibility Terminal-only app build, README-driven dev, commit milestones.
16-17
Office Hours Open Lab & 1:1 Support
Thursday, Apr 9
10-12
Lecture Adversarial Review + Augmented Scholar Citation graphs, Research Rabbit, NotebookLM, AI integrity.
14-16
Lab Lit Engine + Ghost Defense Automated lit reviews, adversarial thesis critique.
16-17
Office Hours Open Lab & 1:1 Support
Friday, Apr 10
10-12
Lecture Digital Twins & Spatial AI OS agents, persistent memory, autonomous desktop.
11-12
Capstone The Agentic Sprint 60-min challenge: 3 missions with your AI workforce.
14-16
Presentations Sovereign Scholar + Demo Day Teams demo AI-powered solutions. Peer review and feedback.
16-17
Office Hours Wrap-Up & 1:1 Support

🚀 Quick Links

📅 Full Schedule Table

Detailed hour-by-hour schedule on the AI Workshop site.

 🎓 Readiness Protocol

Setup guide: VS Code, Python, Git, and your digital backpack.

 📚 Full Curriculum

All 6 days of curriculum content, labs, and resources.

 ⚖️ AI Standards & Ethics

Responsible use guidelines and academic integrity.