Teaching at the Professorship of Cyber Trust

Course Instructor: Prof. Jens Grossklags, Ph.D.
Teaching Assistants: Chiara Ullstein

The lecture offers an overview regarding the role of IT in society. Particular emphasis is given to the complex interactions between modern information and data analytics technologies and individual and societal privacy, and the safety and security of data of individuals and organizations. In addition, the economic impact of IT and the regulation of the impact of IT will be discussed (on concrete cases).

The lecture will primarily consist of a presentation. Opportunities for discussion and questions will be provided. The practice session will be used to further deepen the understanding of the lecture contents and will offer additional opportunities for discussion.

Lecture: Monday, 14:00 - 16:00, room 8120.EG.001 (Hörsaal im Galileo), TUM Campus Garching
Exercise: Monday, 16:00 - 18:00, room 8120.EG.001 (Hörsaal im Galileo), TUM Campus Garching

Note: Information and materials will be made available via Moodle.

TUM Online: Course Description

Course Instructor: Prof. Jens Grossklags, Ph.D.
Teaching assistants: Emmanuel Syrmoudis, Chiara Ullstein

The lecture covers a diverse range of topics to address challenges in the area of information management for digital business models. We will further address issues related to organizing and leading Information management, and practical aspects of information management in companies and organizations.

The module consists of lectures and accompanying exercises. Key content is delivered in presentations during the lecture and partly during exercise sessions. Exercises address specific questions and engage students with different types of learning activities including studying specialist literature and researching reference materials. As part of the exercises, participation in module-relevant empirical research projects may be offered.

Lecture with integrated exercises: Tuesday, 09:45 - 13:00, room 0509.EG.980 (Audimax, Werner-von-Siemens-Hörsaal), TUM Central Campus

Note: Information and materials will be made available via Moodle.

TUM Online: Course Description

Course Instructor: Chiara Ullstein

As AI technologies increasingly permeate various sectors, it is crucial for future developers to understand the ethical, legal, and social dimensions of their work. The lecture series “AI Governance” will invite experts to talk about topics ranging from responsible AI over participatory AI to the European AI Act. The structure of the lecture series is provided by the EU AI Act's obligations to high-risk AI system providers, including data and data governance, transparency, human oversight, or risk management. The lecture series will provide students with both theoretical and practical approaches to AI governance based on the European legal framework.

All lectures will link to "Responsible AI" and “Participatory AI”, covering principles such as fairness, accountability, and transparency, and exploring the role of diverse stakeholders in the AI development process. Thereby, methods for engaging communities and ensuring that AI solutions reflect a wide range of perspectives and needs will be highlighted. With a focus on regulatory frameworks, particularly the EU AI Act, students will learn about risk assessment, compliance, and the responsibilities of AI practitioners in adhering to the AI Act. Throughout the series, students will be encouraged to reflect on their own development procedures as well as the operationalization of AI regulation.

By the end of the lecture series, students from the CS department will gain a comprehensive understanding of AI governance. Through the diverse array of topics, the lecture series will prepare informatics students to navigate the complexities of AI governance, empowering them to create innovative and socially responsible AI systems. This knowledge will empower them to create AI systems that are not only innovative but also built based on best practices for documenting AI system development, ultimately aligning with measures towards a more equitable and sustainable future.

The lecture series will include sessions on:

- The context of the EU AI Act
- The EU AI Act as legal framework
- Risk Management (Art 9)
- Data and Data Governance (Art 10)
- Record-Keeping (Art 12)
- Transparency (Art 13)
- Human Oversight (Art 14)
- Accuracy, Robustness and Cybersecurity (Art 15)
- Post-Market Monitoring (Art 72)
- Quality Management System (Art 17)
- AI literacy (Art 4)
- AI Audits

Lecture: Tuesday, 16:45 - 18:15, room 0503.EG.360 (Theodor-Fischer-Hörsaal), TUM Central Campus Munich 

Note: Information and materials will be made available via Moodle.

TUM Online: Course Description

Course Instructor: Emmanuel Syrmoudis

Description:
The seminar explores the nascent and growing field of the economics of privacy and cyber security and related security/risk governance aspects. Personal information has become a primary economic good for legitimate companies and is collected for countless purposes. For example, targeted advertisements, personalization and price discrimination are enabled by the automated wholesale accumulation of users’ trails; online and offline. Given this background, the key objective of the seminar is a better understanding of the current and future marketplace for personal information. We will draw on methods from computer science as well as the economic and behavioral sciences to contribute to a rigorous comprehension of the challenges and solution approaches for current privacy and security challenges.

SPECIAL FOCUS TOPIC SUMMER 2025:
In this seminar, we will focus on the economic implications of privacy regulations in response to increasing concerns about data misuse and surveillance. Seminar theses will explore topics such as assessing the effectiveness of existing privacy regulations (e.g., GDPR, CCPA), analyzing their impact on businesses and consumers, evaluating compliance strategies adopted by companies, and investigating how regulatory frameworks influence innovation in privacy-preserving technologies.

Course objectives:

Students are expected to deliver a concise report and a comprehensive presentation about their findings. The exact timeline will be discussed in the introductory sessions. The formation of teams is possible with approval by the instructor.

Requirement:
No specific knowledge required. General interest in interdisciplinary privacy and security topics highly desirable. The seminar language is English.

Important:

• Application via http://docmatching.in.tum.de/
• Information and materials will be made available via Moodle.

A virtual pre-course meeting is planned for February 11, 2025 at 10:00 am.
Zoom Link: https://tum-conf.zoom-x.de/j/64065454346?pwd=bUU2OVdCVStpYUtjWndPRzJBQ3llQT09
Meeting-ID: 667 9248 6103
Code: 692714

Regular seminar meeting is planned for Wednesday, 10:00 - 12:30 in room 01.08.033 (in person).

^{Note: According to the policy of our chair, deregistration from courses is possible until the first regular course meeting by written notice to the instructor. Further, regular attendance and participation in seminar meetings will be compulsory and also be part of the assessment.}

TUM Online: Course Description

Weekly group meeting of the Chair of Cyber Trust for members and guests of the chair. The seminar includes research discussions and talks about topics related to the activities of the chair.