Welcome to Software Engineering WiSe 2025/26! 👋

Aalen University of Applied Sciences Bachelor’s Program in Computer Science

Dear students,

Welcome to our Software Engineering course for the Winter Semester 2025/26! This website serves as your central hub for all lecture materials and course content.

📚 What you’ll find here:

After each lecture session, you will find the corresponding lecture notes and materials posted in the Lectures section below. These will include:

• 📝 Detailed lecture notes covering the topics we discussed
• � Code examples and practical demonstrations
• 🔗 Additional resources and references
• � Assignments and exercises when applicable

🕒 When content is available:

Lecture materials will be uploaded shortly after each class session, typically within 24 hours of our meeting. This ensures you have access to fresh, relevant content that reflects exactly what we covered together.

🚀 Course Focus:

This semester, we’ll explore modern software engineering practices with a special emphasis on:

• AI-assisted development workflows
• Automation tools and best practices
• Current industry standards and technologies
• Practical, hands-on experience with cutting-edge tools

We’re excited to have you on this journey into the world of modern software engineering! 🎯

📖 About the Appendix Lectures

In addition to our regular lectures, you’ll find Appendix lectures that provide deeper understanding of specific topics. These supplementary materials:

• Help you master concepts useful for project assignments and real-world applications
• Are designed for self-study — work through them at your own pace
• Are not mandatory for passing the final exam, but can certainly help
• Cover topics that extend beyond what we can address in class time

Think of them as your reference library for when you want to dig deeper into a subject!

🤖 LLMs will guide us the way

The cost function for a neural network with \(m\) training examples:

\[J(\theta) = \frac{1}{2m} \sum_{i=1}^{m} (h_\theta(x^{(i)}) - y^{(i)})^2 + \frac{\lambda}{2m} \sum_{j=1}^{n} \theta_j^2\]