What are mathematicians and computer scientists researching at the University of Bremen?
5G and 6G from space – what do we really need it for?
How do I say “hello” in Korean?
You’ll find the answers to these questions at our lectures!
At the headquarters of Sparkasse Bremen, you will learn about things that you may have been interested in and wondering about for some time.
Below is an overview of the lectures.
You can visit them free of charge.
Sparkasse Bremen, Universitätsallee 6, 28359 Bremen
Follow the signs on campus.
The lectures will be held in german!
The world of languages – taster courses in different languages
Italian for a restaurant visit
Insights into different languages: Two languages in a double pack – Polish and Croatian
Violetta Kozik-Rafii und Melanie Zedler
Arnaud Gauthiérot, Institut Francais
What exactly are we researching? Mathematicians and computer scientists at the University of Bremen
“Plastic waste,” “climate change,” “resources,” and “underwater infrastructure” are just some of the buzzwords that have become established in connection with our oceans and have made their way into everyday language. Nevertheless, large parts of the oceans of our blue planet are still largely unexplored.
How can we bring more light into this darkness and help to understand the connections that are essential to life? This lecture provides examples of uncrewed systems that are used to better explore the oceans and in which specific technical issues need to be solved in order to be able to deploy and use them even more efficiently.
Prof. Dr. Ralf Bachmayer
Application-oriented statistical research – analysis of complex data sets
In the life, environmental, and economic sciences, modern technologies routinely generate very complex data sets.
The task of mathematical statistics is to develop methods and make them available for practical use in order to extract relevant information from these data. The lecture presents the contributions of the “Mathematical Statistics” working group from Faculty 03. We will present data from genetics, functional imaging, brain–computer interface, and climatology as specific application examples
Prof. Dr. Thorsten Dickhaus
How can you tell if the monsters in two pictures are the same or not? Are they the same monster, since the second is just the mirror image of the first? Or are they different, since the second is reversed? How do kindergarten children handle such tasks? Answering these questions helps to understand the development of mental rotation as a component of spatial imagination in children. The lecture will provide an insight into our eye-tracking studies, in which we examine the gaze movements of kindergarten children as they work on mental rotation tasks. The research is carried out in cooperation with Aylin Thomaneck (FB 3) and Professor Meike Grüßing (University of Vechta) and Dr. Aileen Steffen (Osnabrück University).
Prof. Dr. Maike Vollstedt
Route planners have become a fixture in daily life. Most of us use them in our day-to-day lives to plan the quickest, most scenic, or cheapest route. Mathematical optimization methods are very successful in solving such problems, even if routes happen to be much more complex than those in everyday life, such as in logistics, traffic planning, or telecommunications. But how do you deal with dynamic, uncertain input data? For example, travel times are dependent on the weather and traffic density, while transport requests or data packets can come unexpectedly. In this lecture, we will provide an insight into different models and methods of optimization in uncertain circumstances and discuss how machine learning methods can be integrated.
Prof. Dr. Nicole Megow
How and what – how is it supposed to work: a picture being digital? Impossible. Because if the image were digital, we would not be able to see it. And an object must already be visible if it is to be called an “image.” So there is no such thing as a digital image. And yet that is how we talk about them. Is that just sloppiness? Maybe. But: digital image processing – that is possible. And it exists. But doesn’t the object, the image, also have to be digital in order to be edited digitally? - In some way, the images we see every day today are deeply rooted in the digital world. They are so much so that it hardly makes us think. But that will happen in the lecture. Computed – that is, algorithmic images – will be the subject of our deliberations. These are pictures that have made it into exhibitions at art galleries and art museums. We will look at the beginnings of algorithmic graphics and their evolution into the complex images of today’s imagery. In the face of such images, we will ask: can there still be human painting and drawing? Will the computer not take over all painting and drawing?
Prof. Dr. Frieder Nake
It’s exam season, and you’ve already had three tests in one day! Couldn’t this have been planned better? In this lecture, I will give an introduction to the graph coloring problem, a concept that has fascinated mathematicians for centuries and can be used to formalize complex planning problems. We will become familiar with the famous four-color set for planar graphs and discuss effective solutions for coloring problems.
Prof. Dr. Sebastian Siebertz
More than a fifth of students watch explanatory videos on the topic of mathematics on the Internet at least once a week. But do explanatory videos really help students understand technically challenging concepts? Or is this an illusion of understanding? In our research, we investigate characteristics that differentiate videos from functions. So what are the differences with regard to propositions of content acceptance, regardless of their technical correctness? Or in terms of comprehension elements to the functional concept? And to what extent do they influence the understanding of the content? This research was carried out in cooperation with Martin Ohrndorf (Faculty 3) and Professor Florian Schmidt-Borcherding (Faculty 12).
Prof. Dr. Maike Vollstedt