Computer Science
Bachelor of Science

Computer Science? For me?

Surely, you have already used a computer, the Internet, a cell phone, and a DVD player. But what happens when your computer launches a program? How does an e-mail find its way to its recipient? How can you turn a movie into a series of billions of numbers and squeeze it onto a silver disc? What can you learn by analyzing the genome of influenza viruses with computers about the future efficacy of the flu vaccine? If you are not just a user and a consumer in a world of information technology, but really want to understand and even develop such systems, then computer science is a part of you.

Surely you have heard that a computer solves its tasks by "calculating". But what does "calculate" actually mean? Which problems can be solved by "arithmetic"? Are there questions to which you can not "calculate" an answer? Small details often make the difference between a simple task and problems that even the fastest computers in millions of years could not solve. If you want to understand such fundamental relationships of information, predictability and problem complexity, then computer science is a part of you.

Whether you need to be a programming ace for that, which can provide mathematical evidence in your sleep? Definitely not! Much more important are interest in complex contexts, fun in the puzzle, the tenacity to face even difficult challenges, and a certain basic mathematical and scientific understanding.

And? Is computer science a part of you? We look forward to you!

The Institute of Computer Science of the Heinrich Heine University Düsseldorf currently consists of fifteen working groups covering a broad spectrum. The focal points of the working groups are at the same time the topics in which a focus in the bachelor's or master's program is possible:

• Algorithms and Data Structures (Prof. Dr. Melanie Schmidt)
• Algorithms and Data Structures (Prof. Dr. Egon Wanke)
• Algorithmic Bioinformatics (Prof. Dr. Gunnar W. Klau)
• Operating Systems (Prof. Dr. Michael Schöttner)
• Big Data Analytics for Mircoscopical Images (Prof. Dr. Timo Dickscheid)
• Computational Cell Biology (Prof. Dr. Martin Lercher)
• Data & Knowledge Engineering (Prof. Dr. Stefan Dietze)
• Datenbases and Information Systems (Prof.. Dr. Stefan Conrad)
• Dialog Systems and Machine Learning (Prof. Dr. Milica Gašić)
• Digital Innovation and Entrepreneurship (Prof. Dr. Steffi Haag)
• Complexity Theory und Cryptology (Prof. Dr. Jörg Rothe)
• Machine Learning (Prof. Dr. Paul Swoboda)
• Machine Learning for Medical Data (Prof. Dr. Dominik Heider)
• Computer Networks (Prof. Dr. Martin Mauve)
• Responsible Machine Learning (Jun.-Prof. Dr. Gabriella Lapesa)
• Software Engineering and Programming Languages (Prof. Dr. Michael Leuschel)

Since the institute is rather small and young compared to the computer science faculties of many other universities, a teaching and learning culture becomes possible that is characterized by openness and transparency. The professors, professors and private lecturers are directly accessible to the students, we attach great importance to the direct contact between teachers and students.

Computer scientists are in demand today in all sectors of the economy. This is not only because of the fact that information and communication technology is being used practically everywhere and in ever increasing numbers. Computer science studies aim to train the comprehension, analysis and structuring of contexts across the entire spectrum of the subject, from the theoretical basics to the concrete application. This competence is combined with the ability to formulate problems as well as their solutions both abstractly and practically.