Hallo! My name is Krishna and I am a student studying M.Sc. Computational Engineering at FAU Erlangen.
I had a fantastic experience studying Computational Engineering at FAU Erlangen. From the moment I arrived, I felt welcomed and supported by the university community. The faculty and staff were all incredibly knowledgeable and helpful, and they went out of their way to ensure that I had everything I needed to succeed in my studies.
One thing that impressed me about FAU Erlangen was the quality of the curriculum. The courses were challenging and rigorous, but also practical and relevant to real-world applications. I appreciated the hands-on approach to learning, which allowed me to gain valuable experience using cutting-edge computational tools and techniques.
Another benefit of studying at FAU Erlangen was the sense of community that was fostered. There were many opportunities to connect with other international students, and the university regularly organized events and activities to help us get to know one another. I appreciated the multicultural atmosphere of the campus, which allowed me to learn from and be inspired by people from all over the world.
The facilities at FAU Erlangen were also top-notch. The campus was modern and well-maintained, with state-of-the-art labs and equipment that made it easy to conduct research and experiments. Additionally, the university had a well-stocked library and plenty of study spaces, which made it easy to get work done in a quiet and productive environment.
Overall, I would highly recommend FAU Erlangen to other international students, particularly those studying Computational Engineering. The quality of the education, the sense of community, and the excellent facilities all make it a great place to learn and grow as a student.
Academics
One of the standout courses in the curriculum is “Numerical Methods for Partial Differential Equations” taught by Professor Klaus Ritter. This course introduces us to various numerical methods used to solve partial differential equations, and we get hands-on experience with implementing these methods in MATLAB. Professor Ritter is an excellent teacher who provides clear explanations and is always available to help us with any questions or problems we may have.
Another great course is “Machine Learning and Data Mining” taught by Professor Michael Bader. This course covers the basics of machine learning and data mining, and we get the opportunity to apply these concepts to real-world problems. Professor Bader is a highly knowledgeable and experienced professor who is always willing to help us understand the material better.
The “Computational Fluid Dynamics” course taught by Professor Uwe Rüde is also worth mentioning. This course covers the basic principles of fluid dynamics and computational methods used to solve fluid flow problems. Professor Rüde is an expert in this field and provides us with valuable insights and practical knowledge.
Overall, the curriculum for the M.Sc. Computational Engineering program at FAU Erlangen is comprehensive and provides us with a solid foundation in the field of computational engineering. The professors are highly knowledgeable and experienced, and they are always available to help us understand the material better. I would highly recommend this program to anyone interested in pursuing a career in computational engineering.
Internship Opportunities
The computational engineering internship opportunities at FAU Erlangen are truly outstanding. Students in the program have the chance to gain practical experience at some of the top engineering companies in Bavaria, working on cutting-edge projects that challenge them to apply the theories and concepts they learned in their coursework.
One of the companies that offer exceptional internship opportunities for computational engineering students is Siemens. During my internship at Siemens, I worked on a project involving the development of a new algorithm for data analysis. This was an exciting and challenging project, and I had the opportunity to work alongside a team of experienced professionals who provided valuable guidance and mentorship throughout the internship.
Another company that offers great internship opportunities for computational engineering students is Bosch. During my internship at Bosch, I worked on a project related to machine learning and data analytics. This was a very interesting and challenging project that allowed me to apply the theories and concepts I learned in my coursework to a real-world problem. The work environment at Bosch was very supportive, and I was able to learn a lot from the experienced professionals who supervised my work.
Another company that offers great internship opportunities for computational engineering students is Nash. During my internship at Nash, I worked on a project related to computational fluid dynamics. This was a very challenging project, and I had the opportunity to work with a team of experienced professionals who provided valuable guidance and support throughout the internship. The experience I gained at Nash was truly invaluable, and I am confident that it will help me in my future career.
Overall, the computational engineering internship opportunities at FAU Erlangen are truly exceptional. With a range of top engineering companies in Bavaria offering internships, students have the opportunity to gain invaluable experience, build valuable connections, and get a head start on their careers.
Student Accommodation
Overall, I have found the student accommodation provided by Studierendenwerk Erlangen-Nürnberg to be a great option for international students like me. I have been living in a private room with shared kitchen and bathroom in one of their student residences in Erlangen for the past few months, and I have been very satisfied with my experience.
Firstly, the location of the student residence is very convenient for me as it is close to the university and other essential amenities such as supermarkets, restaurants, and public transportation. This makes it easy for me to attend classes and explore the city without having to travel too far.
The private room itself is well-maintained and spacious, with a comfortable bed, a desk, and plenty of storage space for my belongings. The shared kitchen and bathroom facilities are also well-equipped and kept clean on a regular basis, which is very important for me.
One thing that I particularly appreciate about Studierendenwerk Erlangen-Nürnberg’s student accommodation is the affordability. The rent is reasonable compared to other private accommodations in the city, and it allows me to save money on housing costs, which I can use to explore the city and participate in other extracurricular activities.
Another aspect that I appreciate about living in the Studierendenwerk accommodation is the sense of community it fosters. Although I have my private room, I have the opportunity to interact with other students in the shared spaces such as the kitchen and common areas, which has helped me to make new friends and form connections.
One downside that I have experienced with the Studierendenwerk accommodation is the limited availability. The demand for student housing in Erlangen is quite high, and it can be challenging to secure a spot in one of the Studierendenwerk residences. However, with persistence and timely application, I was able to secure a spot, and I am grateful for the opportunity to live in such a great student accommodation.
Overall, I would highly recommend the student accommodation provided by Studierendenwerk Erlangen-Nürnberg to other international students looking for a comfortable, affordable, and convenient place to stay while studying in Erlangen. The accommodations are well-maintained, the staff is friendly and helpful, and the sense of community it fosters is truly valuable.