# Schedule

Two days, in *Room BSS E 21*, 9:00–17:30 with a break from 12:30 to 14:00.

## Day 0: Theory introduction and computer setup

*Friday, 18.9.2026*

| | |
|---|---|
| Lecture | Lecture: Introduction to the fundamentals of biological image analysis. |
| Setup | Guided setup of the software environment used in the course |

## Day 1: Image analysis basics

*Monday, 21.9.2026*

| | |
|---|---|
| Fiji practical | Recap of Day 0, then [Fiji](fiji/index.md): Getting famililar with scientific images and establishing a simple image analysis workflow. |
| Python notebooks | Using Python for automating reproducible image analysis and Machine Learning tools.|



## Day 2: Workflows and analysis

*Tuesday, 22.9.2026*

| | |
|---|---|
| Python notebooks | Measuring how good a segmentation is, extracting features from images and performing data analysis with curve fitting. |
| Challenge | Independent work: Analysing a drug screening dataset. |

## Homework (after the course)

See [homework](homework.md) for the details.