Getting Started

Welcome to the MIA Lab! This guide will help you set up your development environment and get ready for the course.

Installation

To participate in the laboratory, you'll need to set up your development environment with the necessary tools and libraries.

Prerequisites

• Python 3.8 or higher
• Git for version control
• A modern IDE (VS Code, PyCharm, or similar)

Required Packages

The main packages you'll work with include:

• SimpleITK: For medical image I/O and processing
• NumPy: For numerical computations
• scikit-learn: For machine learning algorithms
• matplotlib: For visualization

For detailed installation instructions, see the Installation Guide.

Tools

You'll use various tools throughout the course:

• IDE: Integrated Development Environment for coding
• Ubelix HPC: High-performance computing cluster (if needed for computationally intensive tasks)
• Git & GitHub: Version control and collaboration
• LaTeX: For report writing

Schedule

See the course schedule for:

• Lecture dates and topics
• Assignment deadlines
• Presentation dates
• Office hours

Documentation & Visualization

Learn best practices for:

• Report Writing with LaTeX: Creating professional scientific reports
• Visualization: Creating figures for presentations and reports

Next Steps

1. Complete the installation of required software
2. Familiarize yourself with the tools
3. Review the course schedule
4. Start with the first exercise when it's released

For comprehensive guidance, visit our GitBook documentation.