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8 changes: 6 additions & 2 deletions content/pages/changelog.md
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Expand Up @@ -5,10 +5,14 @@ nav_title: "Changelog"
page_heading: "Changelog"
sidebar_group: "Course"
order: 1
last_edited: "2026-09-15"
change_note: "Changed weekly content release to 13:00 Europe/Zurich."
last_edited: "2026-09-16"
change_note: "Reordered Weeks 7-9 and moved midterm presentations to Week 9."
---

## 16/09/2026

- Reordered Weeks 7-9: The Fragility of Accuracy is now Week 7, Advice at the Wrong Time is Week 8, and midterm presentations are now Week 9. Midterm submissions remain due in Week 8.

## 15/09/2026

- Updated the weekly content release to 13:00 Europe/Zurich.
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8 changes: 4 additions & 4 deletions content/pages/home.md
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Expand Up @@ -28,8 +28,8 @@ The course is organized into **three thematic blocks**. Each teaching week pairs
| Block | Weeks | Goal |
|---|---:|---|
| **Volatile Contexts** | 1-4 | Understand the environments in which AI must operate, and why technology often fails in humanitarian and clinical settings. |
| **High-stakes Decisions** | 5-7 | Understand how clinicians make decisions under uncertainty and how AI can safely support human expertise. |
| **Trustworthy Evidence** | 9-13 | Design, evaluate, and deploy AI systems that are safe, effective, and ready for real-world use. |
| **High-stakes Decisions** | 5, 6, 8 | Understand how clinicians make decisions under uncertainty and how AI can safely support human expertise. |
| **Trustworthy Evidence** | 7, 10-13 | Design, evaluate, and deploy AI systems that are safe, effective, and ready for real-world use. |

{{ weeks_table }}

Expand All @@ -55,7 +55,7 @@ Goal: Understand the environments in which AI must operate, and why technology o
- Reproducibility
- Edge computing

### **Block II: High-stakes Decisions** (Weeks 5-7)
### **Block II: High-stakes Decisions** (Weeks 5, 6, 8)

Goal: Understand how clinicians make decisions under uncertainty and how AI can safely support human expertise.

Expand All @@ -74,7 +74,7 @@ Goal: Understand how clinicians make decisions under uncertainty and how AI can
- RAG
- Clinical decision support

### **Block III: Trustworthy Evidence** (Weeks 9-13)
### **Block III: Trustworthy Evidence** (Weeks 7, 10-13)

Goal: Design, evaluate, and deploy AI systems that are safe, effective, and ready for real-world use.

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8 changes: 5 additions & 3 deletions content/project-documentation/student/project-overview.md
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@@ -1,10 +1,12 @@
---
last_edited: "2026-09-10"
change_note: "Project deadline policy clarified: deadlines are Sundays at 21:59. Added mandatory weekly decision-log and TA-update expectations."
last_edited: "2026-09-16"
change_note: "Proof-of-concept oral presentations moved to Week 9 (November 11)."
---

# Course Project Overview

<p class="change-note"><strong>Edited on 10/09:</strong> Added mandatory weekly decision-log and TA-update expectations.</p>

The course project is a **semester-long team project** in which you will **design, build, evaluate, and document an AI system** for **global health or humanitarian response**.

The goal is not only to train a model or build an interface. We want to make you **build a credible prototype of an AI system** that could support **decision making, communication, translation, risk analysis, or clinical work** in a **constrained and high-stakes setting**.
Expand Down Expand Up @@ -47,7 +49,7 @@ Deadlines are set at 21:59 on Sundays.
| September 16, 21:59 | Wednesday of Week 2 | **Deadline for project applications** (apply on Moodle) |
| September 17 | Thursday of Week 2 | **Announcement of project assignments** |
| September 27, 21:59 | Sunday of Week 3 | Milestone 1: **Technical design and reproducible repository skeleton** |
| November 4, 13:15 | Wednesday of Week 8 | **Proof of concept: Oral presentations** |
| November 11, 13:15 | Wednesday of Week 9 | **Proof of concept: Oral presentations** |
| November 8, 21:59 | Sunday of Week 8 | Milestone 2: **Proof of concept: Submissions** |
| November 23-27 | Week 11 | **30-minute team checkpoint with a TA** |
| December 16, 13:15 | Wednesday of Week 14 | **Final presentations** |
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2 changes: 1 addition & 1 deletion content/project-documentation/student/rubrics.md
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Expand Up @@ -17,7 +17,7 @@ Course-grade weights have priority. The project-related components account for 8
|---|---:|---:|---|
| Milestone 1: Technical Design and Reproducible Repository | 10% | 12.5% | Technical design and reproducible repository skeleton |
| Milestone 2: Proof Of Concept | 20% | 25% | Proof of concept technical checkpoint |
| Midterm oral presentation with live demo | 10% | 12.5% | Week 8 oral presentation and live demo |
| Midterm oral presentation with live demo | 10% | 12.5% | Week 9 oral presentation and live demo |
| Final oral presentation with live demo | 10% | 12.5% | Final submission |
| Project report and code | 30% | 37.5% | Final submission |

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Expand Up @@ -14,7 +14,7 @@ engineering_lecture: "From Rules to Reasoning"

## Overview

**Block II: High-Stakes Decisions** (Weeks 5-8)
**Block II: High-Stakes Decisions** (Weeks 5, 6, 8)

**Central question:** Why has the best medical AI never treated a patient?

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Expand Up @@ -14,7 +14,7 @@ engineering_lecture: "Debiasing the Machine"

## Overview

**Block II: High-Stakes Decisions** (Weeks 5-8)
**Block II: High-Stakes Decisions** (Weeks 5, 6, 8)

**Central question:** How do experts reliably deceive themselves, and can machines do better?

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@@ -1,11 +1,11 @@
---
page_id: "Week_09"
page_title: "Week 9: The Fragility of Accuracy"
nav_title: "Week 9 - Fragility of Accuracy"
page_id: "Week_07"
page_title: "Week 7: The Fragility of Accuracy"
nav_title: "Week 7 - Fragility of Accuracy"
sidebar_group: "Block III - Trustworthy Evidence"
order: 9
week: 9
lecture_date: "2026-11-11"
order: 7
week: 7
lecture_date: "2026-10-28"
theme: "The Fragility of Accuracy"
context_lecture: "How We Learned to Count What We Were Losing"
slides_pdf: ""
Expand All @@ -14,7 +14,7 @@ engineering_lecture: "When 99% Accuracy Is Dangerous"

## Overview

**Block III: Trustworthy Evidence** (Weeks 9-13)
**Block III: Trustworthy Evidence** (Weeks 7, 10-13)

**Central question:** What does it mean to trust a number?

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@@ -1,11 +1,11 @@
---
page_id: "Week_07"
page_title: "Week 7: Advice at the Wrong Time"
nav_title: "Week 7 - Advice at the Wrong Time"
page_id: "Week_08"
page_title: "Week 8: Advice at the Wrong Time"
nav_title: "Week 8 - Advice at the Wrong Time"
sidebar_group: "Block II - High-Stakes Decisions"
order: 7
week: 7
lecture_date: "2026-10-28"
order: 8
week: 8
lecture_date: "2026-11-04"
theme: "Advice at the Wrong Time"
context_lecture: "Why Doctors Ignore Good Advice"
slides_pdf: ""
Expand All @@ -14,7 +14,7 @@ engineering_lecture: "Integration Without Interruption"

## Overview

**Block II: High-Stakes Decisions** (Weeks 5-8)
**Block II: High-Stakes Decisions** (Weeks 5, 6, 8)

**Central question:** When does the cure become worse than the disease?

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@@ -1,20 +1,20 @@
---
page_id: "Week_08"
page_title: "Week 8: Midterm Submission and Presentations"
nav_title: "Week 8 - Midterm"
page_id: "Week_09"
page_title: "Week 9: Midterm Presentations"
nav_title: "Week 9 - Midterm Presentations"
sidebar_group: "Block II - High-Stakes Decisions"
order: 8
week: 8
lecture_date: "2026-11-04"
theme: "Midterm Submission and Presentations"
order: 9
week: 9
lecture_date: "2026-11-11"
theme: "Midterm Presentations"
context_lecture: "Midterm presentations"
slides_pdf: ""
engineering_lecture: "Midterm presentations"
---

## Overview

**Block II: High-Stakes Decisions** (Weeks 5-8)
**Project checkpoint** (Week 9)

**Central question:** Is the system design technically and contextually defensible?

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Expand Up @@ -14,7 +14,7 @@ engineering_lecture: "Causal Inference: Beyond Correlation"

## Overview

**Block III: Trustworthy Evidence** (Weeks 9-13)
**Block III: Trustworthy Evidence** (Weeks 7, 10-13)

**Central question:** How do we know whether an intervention actually works?

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Expand Up @@ -14,7 +14,7 @@ engineering_lecture: "Uncertainty as Architecture"

## Overview

**Block III: Trustworthy Evidence** (Weeks 9-13)
**Block III: Trustworthy Evidence** (Weeks 7, 10-13)

**Central question:** What happens when an AI system fails?

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Expand Up @@ -14,7 +14,7 @@ engineering_lecture: "Governing What You Cannot Fully Understand"

## Overview

**Block III: Trustworthy Evidence** (Weeks 9-13)
**Block III: Trustworthy Evidence** (Weeks 7, 10-13)

**Central question:** Who is responsible when AI causes harm?

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Expand Up @@ -14,7 +14,7 @@ engineering_lecture: "Shipping to Scale: The MLOps of Global Health AI"

## Overview

**Block III: Trustworthy Evidence** (Weeks 9-13)
**Block III: Trustworthy Evidence** (Weeks 7, 10-13)

**Central question:** Why do effective interventions rarely reach those who need them?

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