Future event in Hanover: Robots, math and computer science for students!

Future event in Hanover: Robots, math and computer science for students!

The Gauß-AG at Leibniz University Hannover (LUH) is offering an exciting program for students in grades 7 to 11 during the coming Easter holidays. From theApril 7th to 11th, 2025Participants have the opportunity to gain practical experience in various areas such as programming robots, mathematics, mechanical engineering and computer science. The event is an interactive format that offers students an insight into the fascinating world of natural sciences and technologies through working groups under the guidance of LUH students.

Participation in the Gauß-AG requires a certain interest in the topics covered. Due to the limited number of participants, registration is required. Those interested can find further information and the registration form on the university's official website: www.uni-hannover.de/gauss-ag. If you have any questions, please contact the LUH press spokeswoman, Mechtild Freiin v. Munchausen, by telephone at+49 511 762 5342or by email ( vonMuenchhausen@zuv.uni-hannover.de ) available.

Insights into mathematics and computer science

A central concern of studying computer science at universities is to impart mathematical skills that are fundamental to solving complex problems in computer science. A student with a high school diploma with a focus on IT has already gained experience in the professional world. After 1.5 years as a consultant and 2.5 years as a developer in IT, he made the decision to study computer science in order to focus on technology and development. Mathematics is particularly important to him during his studies.

He plans to maintain his professional IT commitments while studying and reduce his working hours. “Mathematics contributes significantly to computer science studies without the aim of studying pure mathematics,” is his assessment. He also found that there are significant differences between engineering mathematics and mathematics for mathematicians. This is also reflected in the perception that mathematics modules in computer science courses often have high failure rates.

Mathematical foundations for computer science

The student has already prepared for the relevant mathematical topics that are essential for studying computer science. These include, among others:

• Diskrete Mathematik: Wichtige Bereiche sind Mengenlehre, Graphentheorie, Logik, Kombinatorik und Wahrscheinlichkeit.
• Lineare Algebra: Diese Disziplin ist zentral für Datenmanipulation und grafische Transformationen.
• Analysis: Sie umfasst Differential- und Integralrechnung, die wichtig für die Modellierung und Analyse von Algorithmen ist.
• Wahrscheinlichkeit und Statistik: Diese Themen helfen, Unsicherheiten in Daten und Algorithmen zu quantifizieren.

These mathematical fundamentals are crucial for the development of innovative solutions and their application in computer science. The universities' own curricula vary, for example at the TU Clausthal and the TU Braunschweig, where specific mathematics modules are designed for the computer science course. The selection of elective modules at the University of Göttingen also shows that the individual universities take different approaches to mathematics in computer science studies.

The Gauß-AG not only represents an exciting holiday offer, but also underlines the important connection between mathematics and computer science - a connection that is essential for future careers in the technology industry.