Author: Sebastian Siebertz

Christiane Dörte Sperling

Language: German

Course description:

In der Lehrveranstaltung “Einführung in die Energiewirtschaft” tauchen wir gemeinsam in die faszinierende Welt der Energie ein: Von erneuerbaren und fossilen Energiequellen bis hin zu hochaktuellen Themen wie Nachhaltigkeit, Energiemärkte und innovativen Technologien. Wir erfahren, wie Energie erzeugt, gehandelt, verteilt und genutzt wird – und welche politischen, ökologischen und wirtschaftlichen Herausforderungen damit verbunden sind. Spannende Praxisbeispiele und interaktive Diskussionen bieten Einblicke in reale Projekte, wie Wärmenetze, Smart Grids oder die Zukunft der Mobilität. Du möchtest verstehen, wie unsere Energiezukunft gestaltet wird? Dann bist du hier genau richtig!

Prerequisites: none

Biography: Christiane Dörte Sperling

Aufgewachsen in Essen im Ruhrgebiet in einer Zeit der industriellen Transformation weg vom Kohlebergbau hin zu einem starken Dienstleistungssektor. Diese Entwicklung motivierte mich, das Studium der Versorgungstechnik mit dem Schwerpunkt Kommunal- und Umwelttechnik an der Fachhochschule Münster zu absolvieren. Damit begann meine Faszination für die Themen der Energiewirtschaft, in der ich auf verschiedenen Positionen sowohl auf der Seite der Netzinfrastruktur, als auch auf der energiewirtschaftlichen Seite tätig sein darf. Begleitet habe ich neben der Liberalisierung des Energiemarktes in Deutschland auch die Liberalisierung in der Schweiz.

Jyoti Shetty & Shobha Gangadhar Tilak

Language: English

Course description:

This course provides an introduction to the core principles of big data systems and analytics, with a particular emphasis on handling extensive datasets in a distributed setting. The curriculum highlights distributed computing models such as Hadoop and HPCC Systems, covering aspects like block storage, file systems, Map-Reduce Jobs, and the CAP Theorem. Students will gain a deep understanding of batch processing, in-memory distributed processing, and stream processing. Furthermore, the course explores the architectures and functionalities of pivotal components within the Hadoop ecosystem, including Flume, Sqoop, HBase, Hive, and Pig, tailored for both structured and unstructured data analytics. Practical demonstrations will illustrate how these tools can be effectively utilized for comprehensive data analysis in a distributed environment. Participants will also delve into applying these concepts to real-world problems.

Prerequisites:

A laptop with Hadoop and Hive installed. Support will be provided during the obligatory email exchange with participants by sharing the links for downloading and installing.

Biography: Jyoti Shetty

Dr. Jyoti Shetty is Associate Professor at the Computer Science and Engineering Department at RV College of Engineering in Bengaluru, India. She has 18 years teaching and 2 year industry experience. Her specialization includes Data Mining, Machine Learning, Artificial Intelligence. She has published 50+ research papers in reputed journals and conferences. She has also executed sponsored projects funded from various agencies nationally and internationally. She had delivered expert talk at various IT Industry. She was the recipient of awards such as SAP Award of excellence from IIT Bombay for demonstrating ICT in education in 2016 and HPCC Systems Mentor Badge Award in 2021 for providing guidance and direction towards the successful completion of intern open source projects, and Best paper presentation award at ICBDA 2023 Conference. She is recipient of Best Young Teacher Award from RVCE, ISTE Chapter, September, 2024, and HPCC Systems Community Recognition Award, Oct 2024.

Biography: Shobha Gangadhar Tilak

Shobha G, Professor, Dean, School of Computer Science & Engineering, RV University, India have teaching experience of 31 years, her specialization includes Data mining, Machine Learning and Image processing. She has published more than 150 papers in reputed journals / conferences. She has also executed sponsored projects worth INR 300 lakhs funded from various agencies nationally and internationally. She is a recipient of various awards such as Career Award for young teachers 2007-08 constituted by All India Council of Technical Education, Best Researcher award from Cognizant 2017, GHC Faculty Scholar for Women in Computing in 2018, IBM Shared University Research Award in 2019, HPCC Systems community recognition award 2020, HPCC Mentorship award 2021 and Pass it on Award 2023. She is also an advisory committee member for IET India Scholarship Award 2021 to till date.

Mariami Gamsakhurdia & Stella Mahler

Language: English

Course description:

What is a proof, really? And what does it have to do with writing a computer program?

In this course, we explore the basics of logic and discover how mathematicians decide what counts as “true.” You’ll see that there isn’t just one kind of logic: in classical logic, something is either true or false, but in intuitionistic logic things become more complicated.

We’ll learn what formal proofs look like, step by step, and how they behave like objects you can work with. Along the way, you’ll discover a surprising idea: proving something can be very similar to writing a program. This connection, known as the Curry–Howard correspondence, reveals that proofs and programs are, in a sense, the same thing.

No prior experience with logic is needed – just curiosity and a willingness to think in new ways. By the end, you’ll have a new perspective on both mathematics and programming and how deeply they are connected.

Prerequisites:

Prior knowledge in mathematics and logic is recommended.

Mathematical Background: Basic understanding of fundamental proof techniques, such as induction, proof by contradiction, and contrapositive reasoning.

Logic Foundations: A general understanding of propositional logic, including truth tables, logical connectives (AND, OR, NOT, implication), and basic first-order logic concepts (quantifiers, predicates, logical formulae) at a high school or introductory undergraduate level.

Refresher materials for the core mathematical and logical concepts will be available.

Biography: Mariami Gamsakhurdia

Mariami Gamsakhurdia is a researcher in mathematical logic with a special focus on proof analysis, epsilon calculus, intermediate logics, and their applications in computer science. Her academic journey has been centered around mathematical logic. She completed her BSc at Tbilisi State University and MSc at the University of Milan, both in pure mathematics. Currently, she is pursuing her Ph.D. at the Computational Logic research group at TU Wien (Vienna University of Technology) under the supervision of Ao. Univ. Prof. Dr. Matthias Baaz.

Biography: Stella Mahler

Stella Mahler is a researcher in logic, focusing on computational proof theory,
automated deduction, and the applications of logic in computer science. Currently pursuing her Ph.D. at the Logic and Theory research group at Vienna
University of Technology, she has a strong foundation in both theory and application. Stella completed her BSc in Computer Science through the International Women’s Degree Programme at Hochschule Bremen and her MSc in Logic and Computation at TU Vienna. With a background in pedagogy, she is passionate about teaching and excited to collaborate with other inspiring women to explore engaging and innovative teaching styles at the Summer University.

Sabrina Kynast

Language: German

Course description:

Design Patterns sind eine Musterlösung für wiederkehrende Probleme in der Informatik. Sie geben uns ein gemeinsames Vokabular und Beispiele für wiederverwendbare Entwürfe. Ein Design Pattern besteht aus einer kleinen Anzahl von Klassen, die durch Delegation und Vererbung eine robuste, erprobte und modifizierbare Lösung bieten. Diese Klassen können für eine spezifische Problemstellung angepasst und verfeinert werden. Darüber hinaus bieten Design Patterns Beispiele für typische Software-Architekturen, wie bspw. REST oder Mock Objects für Testing. Im Laufe des Kurses werden wir einige der meistgenutzten Design Patterns kennenlernen und gemeinsam analysieren. Wir besprechen welche Use Cases es in der realen Welt gibt und implementieren alle Patterns selbst um das Verständnis zu vertiefen und das neue Wissen anzuwenden.

Prerequisites:

Good knowledge of an object-oriented programming language (e.g., Java or C#) and its underlying concepts is required for the practical component of the course. Participants are expected to possess basic software engineering knowledge, including familiarity with UML diagrams and their interpretation.

Biography: Sabrina Kynast

I earned my B.Sc. in Games Engineering from the TUM. Following this, I pursued my master’s degree in the elite graduate “Software Engineering” program. My interest in teaching and sharing knowledge led me to work as a teaching assistant during both my bachelor’s and master’s studies. After graduating, I joined the Munich-based fintech scale-up QPLIX, where I now work as an Engineering Manager, splitting my time between writing code and supporting my team’s growth. Since 2024, I have been speaking at international conferences about the challenges and opportunities of being an openly trans woman in a male-dominated sector, including a talk at DevBcn 2025.

Hannah Brand

Language: English

Course description:

You send thousands of web requests per day. What could go wrong? As ethical hackers know, quite a lot! In this course you’ll learn the basics of web security: what’s really inside your favorite app, the most common vulnerabilities around today, and how to spot them in the wild. You will emerge understanding industry-standard frameworks like OWASP Top 10, CVSS 4.0, and the tools and tricks needed for web security research. Most importantly – you’ll be well-prepared to join a Capture The Flag challenge and try out your new hacking skills!

Prerequisites:

Participants should have some prior knowledge of the network stack and structure of a webpage. Knowledge of a coding language, specifically scripting languages or Python, may be helpful. None of these are absolute requirements and supplementary materials will be sent to prepare all participants.

Biography: Hannah Brand

Hannah Brand is a security researcher interested in networking and privacy-preserving technologies. Following five years investigating web security vulnerabilities with the Microsoft Security Response Center, she began graduate study at TU Darmstadt in 2025. She has a passion for connecting the technical and social aspects of security, and has previously led an autonomous tutorial on Open-Source and Society at TU. Her most recent work, with the Max Planck Institute for Security and Privacy, focuses on censorship-circumventing proxy protocols. In her spare time she can be found cycling and cooking (but not at the same time).

Diren Senger, Kathrin Riemann-Campe & Dana Ransby

Language: English

Course description:

Whether you are a stundent analysing data for your dissertation or a professional: Data Science skills are asked for in many disciplines.

In this course you will learn about several steps in the data analyis process, beginning with unprocessed data, discussing processing methods and culminating in visualisations to present your results. We will mainly work with environmental data and introduce the World Data Center PANGAEA.

R and Python are both very commonly used in the data domain and it is helpful to know the basics of both programming languages. In this course you

Prerequisites:

A computer with administrative rights and system knowledge is necessary. Participants should also have basic knowledge of R or Python, for example from an introductory course in their field of studies or from online tutorials. R or Python should be installed on computer.

Biography: Diren Senger

Dr. Diren Senger completed her PhD on sensor data of honey bee colonies at Univeristy of Bremen and is now working as a Software Engineer at AWI.

Biography: Kathrin Riemann-Campe

Dr. Kathrin Riemann-Campe is a data manager and data editor at PANGAEA – Data Publisher for Earth & Environmental Science with a background in meteorology, physical oceanography and sea ice modelling.

Biography: Dana Ransby

Dr. Dana Ransby is a data manager and data editor at PANGAEA – Data Publisher for Earth & Environmental Science with a background in geosciences and environmental physics.

Angela Goebel

Language: German

Course description:

Der Workshop unterstützt Sie und gibt Ihnen Anregungen für Ihre verbale und nonverbale Kommunikation. Oft entscheidet der erste Eindruck in wichtigen Situationen.

Sei es beim Vorstellungsgespräch, in Verhandlungen, in Präsentationen oder bei Teamsitzungen.

Der Workshop gibt Antworten auf folgende Fragen:

Was zeichnet meine eigene Stimme aus?

Welche Atemübungen helfen mir in stressigen Situationen beim Sprechen?

Was hält mich davon ab, meine Stimme zu äußern?

Welche kommunikativen Stärken habe ich?

Wie kann ich Gespräche authentisch und im Einklang mit meinen Werten und Zielen führen?

Wie kann ich meine Redesicherheit vor einem Publikum steigern?

Ist meine Körpersprache im Einklang mit meinem verbalen Ausdruck?

Wie stärke ich konstruktiv meine Sprech- und Stimmkompetenz bei schwierigen Gesprächspartner*innen?

Im Workshop werden Sie mit einer Mischung aus theoretischen Inputs und praxisorientierten Einzel- und Gruppenübungen wesentliche Merkmale einer effektiven, authentischen und wirkungsvollen Kommunikation erlernen.

Sie lernen die Methode des „Inneren Teams“ von Schulz von Thun kennen und einige Elemente aus der „Gewaltfreien Kommunikation“ von Marshall Rosenberg.

Ziel des Workshops ist es, die eigene verbale und nonverbale Kommunikations-, Stimm- und Sprechkompetenz zu erweitern, sodass diese erlernten Strategien effektiv und sicher in den Alltag integriert werden können.

Prerequisites: none

Biography: Angela Goebel

Angela Goebel, Diplom Sozialpädagogin (Universität) ist freiberuflich tätig. Sie bietet Coachings, Trainings und Workshops für Frauen und diverse Zielgruppen an. Ihr Fokus liegt auf folgenden Themen und Formaten: Selbstmanagement, Work-Life Balance, Visionsarbeit, Kommunikation, Persönlichkeitsentwicklung, Empowerment, Female – Coaching, Natur – Coaching, Life – Coaching, Business – Coaching, Spirituelles Coaching.
Ihre Arbeit ist geprägt duch eine Prise “Humor” und “Leichtigkeit”, wodurch eine herzliche Lernatmosphäre entsteht.

Mara Weber

Language: English

Course description:

This introductory course on Natural Language Processing (NLP) equips participants with both technical computational skills and critical perspectives on language and society. This course provides a hands-on introduction to NLP techniques, including data scraping, text preprocessing, word embeddings and Large Language Models (LLMS). Using a feminist lens, the course will explore how gender is portrayed differently on Wikipedia, uncovering biases in language and representation. By combining technical training with critical analysis, this course empowers participants to apply NLP tools to address gender inequalities and their facilitation in knowledge production.

Prerequisites:

This course welcomes participants from all backgrounds. Basic programming skills, preferably in R or Python, are recommended but not mandatory. Participants should ideally have an interest in Natural Language Processing and interdisciplinary fields that bridge computational and social sciences.

Biography: Mara Weber

Mara Weber is a PhD candidate in Social Research Methods in the Department of Methodology at the London School of Economics and Political Science (LSE). Previously, she was a predoctoral researcher in Computational Social Sciences (CSS) in the Department of Political Science at the University College London. She works on methodological innovations in the broader field of CSS and researches the malleability of collective memory and the durability of stigmatizing elite rhetoric. She holds a Bachelor of Arts in Sociology and a Master’s degree in Sociology and Social Research Methods from the University of Bremen.

Christina Plump

Language: English

Course description:

Abstract will be published here.

Prerequisites:

TBA

Biography: Christina Plump

TBA

Michaela Kümpel

Language: English

Course description:

Have you always wondered what is needed to program a robot to bring milk to the coffee table for breakfast? If so, you can find out in this project-framed course! The course is designed to teach the principles needed for developing a robot application that does just that: bring milk to the coffee table, in simulation. Using a virtual research environment running on a website that does not require software installation or specific hardware, we will go over four main aspects needed to create a robot application: 1) Modelling the environment. A robot uses its sensors to make sense of its surroundings, but the sensor data needs to be labeled so that some object can be detected as a table, or a fridge. We will create a kitchen for the robot to act in. 2) Now we need a robot in our kitchen. The robot needs to be told to look for objects and match this to the environment model. We will integrate a robot model and perform a basic perception task. 3) With a robot in a kitchen, the next thing needed for performing the task is to give the robot knowledge about what a milk is and where a milk can be found. We will discuss knowledge engineering and let the robot infer where the milk would be stored. 4) Finally, the robot is equipped to perform the task of bringing milk to the table. Now we need to write an action plan for the robot so that it knows what to/ how to move to perform the task. We will instruct the robot to move to the fridge, grasp the milk, and bring it to the table.

During the program, we will also address problems that arise when robots operate in human environments. For example, the importance of creating a trustworthy interaction, and how to achieve this, but also how to include preferences of humans if one prefers lactose-free milk, or soy milk. We will further ask ourselves if different age groups, genders or people with different abilities would need robots to act in different ways, and how.

Prerequisites:

A computer with a Wi-Fi connection and some basic programming knowledge.

Biography: Michaela Kümpel

Michaela is a Postdoc at the Institute for Artificial Intelligence, and also a mother of three. Her research lies in the intersection of cognitive robotics and knowledge engineering, creating intelligent agents that support humans in their daily life.
After high school, Michaela did an apprenticeship as Qualified IT Specialist before she got her Bachelor of Science in Information Systems at University of Osnabrück and her Master of Science in Management Information Systems at the University of South Florida, Tampa, US. She came back to Germany for a short stop at the Jacobs University and the DFKI Bremen before joining the Institute for Artificial Intelligence at the University of Bremen, where she got her Doctorate.

Sabrina Kynast

Language: English

Course description:

This course is designed for students and early-career developers who already have solid Java experience and now want to move into the C# and .NET world in a focused, practical way. Many German universities primarily teach Java, yet a large share of industry projects are built with C#. Especially in areas like enterprise business software, industrial automation, finance, MedTech, and specialized tooling C# is widely used. Rather than repeating programming basics, the course concentrates on the differences, subtleties, and “gotchas” you’ll encounter when switching from Java to C#. The goal: In the end you won’t just be able to write C#, but you’ll understand how to write modern C# code in real-world .NET projects.

Prerequisites:

Participants should have a solid foundation in Java programming, including basic object-oriented design principles, and be familiar with common developer tools. While prior knowledge of C# or the .NET ecosystem is not required, participants should be generally comfortable with programming.

Biography: Sabrina Kynast

I earned my B.Sc. in Games Engineering from the TUM. Following this, I pursued my master’s degree in the elite graduate “Software Engineering” program. My interest in teaching and sharing knowledge led me to work as a teaching assistant during both my bachelor’s and master’s studies. After graduating, I joined the Munich-based fintech scale-up QPLIX, where I now work as an Engineering Manager, splitting my time between writing code and supporting my team’s growth. Since 2024, I have been speaking at international conferences about the challenges and opportunities of being an openly trans woman in a male-dominated sector, including a talk at DevBcn 2025.

Mariami Gamsakhurdia & Stella Mahler

Language: English

Course description:

What happens when things are not quite consistent, and when they don’t stay the same over time?

In this course, we explore new ways of thinking about logic that go beyond the classical world of strict true and false. In computer science, we often deal with systems that evolve, grow, and sometimes even contradict themselves. So we need logical tools that are flexible enough to keep up.

We will study paraconsistent logic, where contradictions do not immediately collapse everything into chaos. Instead, we learn how to reason in a controlled and meaningful way even when information clashes.

We will also explore linear temporal logic, where truth is not static but unfolds over time. Statements can refer not only to what is true now, but also to what will be true, or must remain true, in the future.

Overall, this course is about learning to think in systems where logic is not fragile, but surprisingly resilient, whether in the presence of change, time, or inconsistency.

Prerequisites:

To ensure that students can fully engage with the course material, the following prior knowledge is recommended:

Logic Foundations: A general understanding of propositional logic, including truth tables, logical connectives (AND, OR, NOT, implication), and basic first-order logic concepts (quantifiers, predicates, logical formulae) at a high school or introductory undergraduate level.

Refresher materials for the core mathematical and logical concepts will be available.

Biography: Mariami Gamsakhurdia

Mariami Gamsakhurdia is a researcher in mathematical logic with a special focus on proof analysis, epsilon calculus, intermediate logics, and their applications in computer science. Her academic journey has been centered around mathematical logic. She completed her BSc at Tbilisi State University and MSc at the University of Milan, both in pure mathematics. Currently, she is pursuing her Ph.D. at the Computational Logic research group at TU Wien (Vienna University of Technology) under the supervision of Ao. Univ. Prof. Dr. Matthias Baaz.

Biography: Stella Mahler

Stella Mahler is a researcher in logic, focusing on computational proof theory,
automated deduction, and the applications of logic in computer science. Currently pursuing her Ph.D. at the Logic and Theory research group at Vienna
University of Technology, she has a strong foundation in both theory and application. Stella completed her BSc in Computer Science through the International Women’s Degree Programme at Hochschule Bremen and her MSc in Logic and Computation at TU Vienna. With a background in pedagogy, she is passionate about teaching and excited to collaborate with other inspiring women to explore engaging and innovative teaching styles at the Summer University.

Shobha Gangadhar Tilak & Jyoti Shetty

Language: English

Course description:

This course introduces NoSql databases which are used in managing the vast digital universe. The course discusses the way NoSQL are designed to handle large amounts of unstructured or semi-structured data and handle dynamic changes to the data model. Characteristics of NoSql such as scalability, flexibility, distributed computing, high availability, polygot persistence will be explained. Techniques of data distribution such as replication and sharding will be addressed. The course explores different types of NoSql databases such as Document-based databases; Key-value stores; Column-oriented databases; Graph-based databases with examples. The curriculum highlights data modelling, document structure, operations used in MangoDb. Hands on sessions on MangoDB will also be provided to the participants.

Prerequisites:

Fundamental computer literacy with Database concepts. A computer with MongoDB installed.

Biography: Jyoti Shetty

Dr. Jyoti Shetty is Associate Professor at the Computer Science and Engineering Department at RV College of Engineering in Bengaluru, India. She has 18 years teaching and 2 year industry experience. Her specialization includes Data Mining, Machine Learning, Artificial Intelligence. She has published 50+ research papers in reputed journals and conferences. She has also executed sponsored projects funded from various agencies nationally and internationally. She had delivered expert talk at various IT Industry. She was the recipient of awards such as SAP Award of excellence from IIT Bombay for demonstrating ICT in education in 2016 and HPCC Systems Mentor Badge Award in 2021 for providing guidance and direction towards the successful completion of intern open source projects, and Best paper presentation award at ICBDA 2023 Conference. She is recipient of Best Young Teacher Award from RVCE, ISTE Chapter, September, 2024, and HPCC Systems Community Recognition Award, Oct 2024.

Biography: Shobha Gangadhar Tilak

Shobha G, Professor, Dean, School of Computer Science & Engineering, RV University, India have teaching experience of 31 years, her specialization includes Data mining, Machine Learning and Image processing. She has published more than 150 papers in reputed journals / conferences. She has also executed sponsored projects worth INR 300 lakhs funded from various agencies nationally and internationally. She is a recipient of various awards such as Career Award for young teachers 2007-08 constituted by All India Council of Technical Education, Best Researcher award from Cognizant 2017, GHC Faculty Scholar for Women in Computing in 2018, IBM Shared University Research Award in 2019, HPCC Systems community recognition award 2020, HPCC Mentorship award 2021 and Pass it on Award 2023. She is also an advisory committee member for IET India Scholarship Award 2021 to till date.

Kamalika Datta

Language: English

Course description:

Quantum computing is an emerging technology that exploits quantum mechanical properties to solve complex problems that are beyond the reach of classical computers. This course introduces students to recent topics in the field, beginning with the mathematical background and formalisms needed to grasp core quantum concepts. We will then transition into quantum gates and circuits, alongside properties like superposition and entanglement. Towards the end of the course, we will introduce basic quantum algorithms to demonstrate exactly where quantum computing provides a practical advantage.

Prerequisites: Basics of Linear Algebra.

Biography: Kamalika Datta

Kamalika Datta completed her Master of Science (MS) from Indian Institute of Technology Kharagpur, India in 2010, and Ph.D. from Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India in 2014. She worked as Assistant Professor at the National Institute of Technology Meghalaya from August 2014 to 2018, and Post-Doctoral Research Fellow at the Nanyang Technological University Singapore from February, 2019 to September, 2020. She is presently working as a Research at DFKI Bremen and University of Bremen, Germany from October 2021. Her research interests include logic design using emerging technologies, synthesis and optimization of reversible and quantum circuit, and embedded systems.

Angela Goebel

Language: German

Course description:

Wie gestalte ich ein individuelles und stärkendes Selbstmanagement?

Selbstmanagement hilft dir dabei, Aufgaben effizienter zu erledigen und durch verschiedene Methoden leichter an die Lösung von Problemen zu gelangen. Ferner werden deine Motivation und deine Gesundheit gesteigert.

Der Begriff Selbstmanagement umfasst die Kompetenz, die eigene Entwicklung unabhängig von äußeren Einflüssen zu gestalten. Das Ziel hierbei ist es, dass du deine Selbstständigkeit und Umsetzungskompetenz erhöhst.

Die Organisation des beruflichen Alltags und des individuellen Lebens spielt dabei eine zentrale Rolle. Jeder Beruf und jedes Studium bringen dabei unterschiedliche Rollen und Anforderungen mit sich.

Der Workshop gibt Antworten auf folgende Fragen:

Welche Fähigkeiten und Potenziale zeichnen mich aus?

Was kann ich für mich tun, damit ich in stressigen Situationen klar und konzentriert bei mir selbst bleibe, und welche Techniken helfen mir dabei?

Was sind meine Ziele und wie kann ich diese erreichen?

Wie stärke ich meine Arbeits- und Lebensorganisation, damit ich mehr Zeit für meine Work-Life-Balance habe?

Ferner lernst du im Workshop die Methode des Selbstcoachings kennen. Beim Selbstcoaching bist du Beraterin und Kundin in einem. Du erlernst verschiedene Fähigkeiten, die dir helfen, unterschiedliche Lebenslagen zu meistern und dir deiner Wünsche, Ziele und Werte klar zu werden.

Du lernst, eine Checkliste für eine klare, transparente und verständliche Kommunikation anzufertigen. Somit können Konflikte frühzeitig erkannt und gelöst werden und bessere Ergebnisse erzielt werden.

Im Workshop werden wir uns mit viel Leichtigkeit und Herzenskraft anhand von Kleingruppenarbeit zu spezifischen Fragestellungen, der Gruppendiskussion, kleineren Präsentationen, Textarbeit und kreativer Arbeit, mit dem Selbstmanagement auseinandersetzen und viel Raum zum Ausprobieren haben. Ziel des Workshops ist es, wertvolle Strategien zur Gestaltung eines individuellen Selbstmanagements für jede Teilnehmerin zu entwickeln, sodass diese gut in den Alltag integriert werden können.

Prerequisites: none

Biography: Angela Goebel

Angela Goebel, Diplom Sozialpädagogin (Universität) ist freiberuflich tätig. Sie bietet Coachings, Trainings und Workshops für Frauen und diverse Zielgruppen an. Ihr Fokus liegt auf folgenden Themen und Formaten: Selbstmanagement, Work-Life Balance, Visionsarbeit, Kommunikation, Persönlichkeitsentwicklung, Empowerment, Female – Coaching, Natur – Coaching, Life – Coaching, Business – Coaching, Spirituelles Coaching.
Ihre Arbeit ist geprägt duch eine Prise “Humor” und “Leichtigkeit”, wodurch eine herzliche Lernatmosphäre entsteht.

Anne Leßner

Language: German

Course description:

ChatGPT schreibt Code, Kolleginnen teilen Snippets auf GitHub, und plötzlich stellt jemand Ansprüche auf die eigene Software. Was jetzt? In diesem Kurs lernst du, wie das Urheberrecht Computerprogramme und Datenbanken schützt – und wo die Grenzen dieses Schutzes liegen. Anhand konkreter Szenarien aus der Praxis (SaaS-Startups, KI-Tools, Open-Source-Projekte) erarbeitest du, welche Rechte du als Entwicklerin hast, was du beim Einsatz von KI-generierten Codetools beachten musst und wie du typische Vertragsklauseln einordnest. Keine Jurakenntnisse erforderlich – nur Neugier und Lust, echte Fälle zu lösen.

Prerequisites:

You have already written code before (ideally as part of a larger project or in a part-time job), or you have been working for some time in a technical environment closely related to software and database development, or their commercialization.

No prior legal knowledge is required.

Biography: Anne Leßner

Anne Leßner ist Rechtsanwältin in Berlin mit über acht Jahren Erfahrung im IT-Recht. Sie berät Unternehmen – von DAX-Konzernen bis zu Start-ups – zu Software- und IT-Vertragsrecht, Datenschutz und IT-Sicherheit. Neben ihrer Kanzleitätigkeit hat sie Seminare und Hochschulveranstaltungen zu IT-Vertragsrecht und Software-Urheberrecht durchgeführt, u. a. an der EBS Law School Wiesbaden. Was sie von anderen IT-Rechtlerinnen unterscheidet: Sie hat Informatik studiert – zunächst als Gaststudium und aktuell im Bachelorstudium an der TU Berlin. Rechtliche Fragen rund um Software beantwortet sie deshalb nicht nur juristisch, sondern mit echtem Verständnis dafür, wie Code entsteht.

Kristin Rohleder

Language: German

Course description:

Wie fühlt es sich an, eine Website nicht zu sehen, sondern zu hören? In diesem Workshop wechselst du die Perspektive und erlebst live, wie Screenreader digitale Inhalte wiedergeben. Du probierst selbst aus, wie Navigation und Interaktion am Desktop und auf dem Smartphone funktionieren – und merkst schnell, wo es gut läuft und wo es schwierig wird. Gemeinsam erkunden wir Webseiten und Apps aus einer neuen Sichtweise und machen Barrieren hör- und spürbar. Der Fokus liegt auf Erleben, Ausprobieren und Verstehen. So entwickelst du ein Gefühl dafür, wie Screenreader funktionieren und welche Erwartungen Nutzer:innen an digitale Angebote haben.

Prerequisites:

A prerequisite is an interest in digital accessibility as well as user perspectives. Participants should also be open to engaging in hands-on exercises and adopting different perspectives.

For participation, a personal laptop (Windows or Mac) with installation rights and basic system knowledge is required, as well as a personal smartphone (iOS or Android). In addition, headphones are required for working with screen readers.

Biography: Kristin Rohleder

Kristin Rohleder (B.Sc) ist Senior Accessibility Consultant bei adesso SE und verfügt über mehr als 16 Jahre Erfahrung in der Webentwicklung – mit einem klaren Fokus auf digitale Barrierefreiheit. Seit mehreren Jahren begleitet sie Teams und Unternehmen dabei, digitale Produkte so zu gestalten, dass sie für möglichst viele Menschen zugänglich und nutzbar sind – von Websites und Onlineshops über Apps bis hin zu PDFs. Besonders wichtig ist ihr, Barrierefreiheit nicht nur fachlich korrekt, sondern auch verständlich und praxisnah zu vermitteln. Deshalb gibt sie regelmäßig Workshops und Trainings. Bei der Sommeruni war sie bereits 2022 und 2023 mit einem Lunch Talk zur digitalen Barrierefreiheit vertreten.

Sabrina Melchionna

Language: English

Course description:

How can we monitor deforestation in remote regions, track crop conditions over entire countries, or assess flood impacts in near real time? Earth Observation makes this possible by using satellite data to systematically observe the Earth’s surface, enabling repeated observations at a global scale, supporting applications in environmental monitoring, agriculture, and urban development. In this course, we will cover the basics of optical remote sensing from space, as well as introduce the fundamentals of Synthetic Aperture Radar (SAR). You will learn how to use data from a range of satellite platforms to extract land cover maps and spectral indices, and to understand how SAR data can provide complementary information independent of daylight and weather conditions. These tools will allow you to monitor changes occurring on Earth, such as crop development, de-/reforestation, wildfire activity, urban expansion, droughts, flooding, and more. Although we will not gain practical hands-on experience, some time will be dedicated to exploring where to find open-access data, which software can be used to process them, and available online tutorials.

Prerequisites:

Ideally, but not mandatory, applicants should have prior exposure to electromagnetic theory, signal or image processing, and basic programming skills.
A computer with administrative rights and system knowledge is necessary.

Biography: Sabrina Melchionna

Dr. Sabrina Melchionna is a physicist and currently works as Radar System Engineer at OHB SE Bremen. She has over 10 years of experience in satellite Earth Observation (EO), working across consulting, algorithm development, and product management. Throughout her career, she has supported startups and Earth monitoring projects, helping translate EO data into practical applications, while also contributing to scientific reviewing and science communication. She is strongly committed to increasing the visibility of women in aerospace.

Tamara Drucks & Franka Bause

Language: English

Course description:

Graphs are everywhere and form the basis for many machine learning tasks such as content moderation or drug discovery. Unlike structured data such as images or sequences, graphs often have irregular structure and variable sizes, rendering traditional machine learning models ineffective. This workshop introduces graph machine learning and Graph Neural Networks (GNNs) from both a theoretical and practical perspective. Participants will learn how to model relational data as graphs and apply modern deep learning techniques using PyTorch Geometric. The course combines short lectures on key concepts with guided hands-on coding sessions. No prior experience with graph learning is required, but basic Python knowledge is expected.

Prerequisites:

Participants should have basic Python programming skills. Familiarity with machine learning concepts and a basic understanding of mathematics is also beneficial but not mandatory.

Biography: Tamara Drucks

I am a PhD student in the Research Unit Machine Learning at TU Wien, where I currently focus on the expressive power of graph learning algorithms and their limitations.

Biography: Franka Bause

I focus on graph learning and similarity measures for graphs, with the aim of improving efficiency, expressivity, and accuracy. I completed my doctorate with distinction in the Kriege group at University of Vienna, and am currently a Postdoc in the relational machine learning lab of Rebekka Burkholz at CISPA.

Angela Goebel

Language: German

Course description:

Das Mindset beinhaltet das eigene Denken und die Haltung, das eigene Leben zu gestalten und auf Situationen zu reagieren.

Eine Passion oder Leidenschaft ist etwas, das wir mit hoher Motivation jeden Tag aufs Neue, immer wieder gerne tun. Diese Tätigkeit begeistert und gibt Energie.

Eine Berufung ist eine Tätigkeit, die mit Sinn erfüllt ist und in der die eigenen Talente und Fähigkeiten genutzt werden. Potenziale beschreiben Fähigkeiten, Möglichkeiten und Talente, um etwas in die Welt zu bringen – umzusetzen.

Folgende Fragen werden wir beim Coachingtag besprechen und Impulse erhalten:

Zum Mindset:

Was ist wirklich wichtig für mich?

Wie kann ich Klarheit über mich und meine Bedürfnisse/Ziele erhalten?

Für welche Werte stehe ich ein?

Wie kann mein eigener Weg aussehen?

Wie nutze ich meine Zeit?

Zur Passion/Potenziale:

Was brauche ich, um erfüllt und glücklich zu sein?

Wie sieht eine sinnerfüllte Tätigkeit für mich aus?

Wie kann ich über mich hinauswachsen und meinen eigenen Weg gehen?

Was steht auf meiner Bucket List?

Wie würde ich ein Jahr freier Zeit nutzen, wenn ich finanziell keine Sorgen hätte?

Welche Idee wollte ich schon immer mal umsetzen?

In einer sich stetig wandelnden Welt stärkt ein positives Mindset die Veränderungsbereitschaft. Das Wissen um die eigenen Ziele und Bedürfnisse erhöht die Eigenverantwortung und die Entscheidungsfindung.

Eine sinnerfüllte Passion fördert die Motivation und das Durchhaltevermögen, auch bei schwierigen Projekten. Das „Brennen für eine Sache oder ein Projekt“ stärkt die Identifikation mit der Arbeit und gibt Energie, welche ansteckend sein kann.

Der Coachingtag hat das Ziel, wertvolle Impulse und Strategien zu vermitteln und zum Reflektieren anzuregen, sodass jede Teilnehmerin mit einer Horizonterweiterung und Handlungsempfehlungen in ihren Alltag zurückgeht.

Anhand der Arbeit mit Coachingkarten zu gezielten thematischen Fragestellungen, kleinen theoretischen Inputs, dem Journaling, Einzel- und Gruppenübungen und kreativer Arbeit werden wir uns mit viel Leichtigkeit und Herzenskraft dem Entdecken und Herausfinden eines individuellen Mindsets, Passion und Berufung widmen.

Prerequisites: none

Biography: Angela Goebel

Angela Goebel, Diplom Sozialpädagogin (Universität) ist freiberuflich tätig. Sie bietet Coachings, Trainings und Workshops für Frauen und diverse Zielgruppen an. Ihr Fokus liegt auf folgenden Themen und Formaten: Selbstmanagement, Work-Life Balance, Visionsarbeit, Kommunikation, Persönlichkeitsentwicklung, Empowerment, Female – Coaching, Natur – Coaching, Life – Coaching, Business – Coaching, Spirituelles Coaching.
Ihre Arbeit ist geprägt duch eine Prise “Humor” und “Leichtigkeit”, wodurch eine herzliche Lernatmosphäre entsteht.