Marco Vogt

This hands-on foundation course guides students through the essential layers of modern computing, beginning with digital logic and hardware components before progressing to operating systems, command-line tooling, networking, and virtualization. Integrated lab sessions introduce scripting, version control with Git, cryptography, benchmarking, and data analysis in Julia, letting participants experiment with real-world tools such as Docker, QEMU, and SSH.

A master's level course on conceptual and practical approaches to distributed information systems, focusing on efficient data management across distributed resources, architecture paradigms, and hands-on experience with relevant systems and protocols for data science and analytics applications.

This course introduces key concepts and techniques used in the engineering of complex software systems. Starting with requirements engineering and use case modeling, it explores object-oriented analysis and design using UML. Topics include interaction and activity diagrams, design patterns, and software development processes such as the waterfall model, RUP, and agile methods. Through practical examples and modeling exercises, students learn to structure and visualize software systems systematically and effectively.