Browse the list of professors at TUM below. Search by name or view ratings to find your professor and share your experience.
At Technical University of Munich (TUM) in Munich, Bavaria, Germany, the Rate My Professor platform on AcademicJobs.com serves as an essential tool for students, faculty, and staff to share and access professor ratings. This system allows users to evaluate teaching quality, course difficulty, and overall experiences, helping prospective students make informed decisions about their education. TUM, renowned for its excellence in engineering, natural sciences, and technology, benefits from these ratings by highlighting top performers in departments like Mechanical Engineering, Computer Science, and Physics. For instance, professors such as Prof. Dr. Wolfgang A. Wall in Computational Mechanics often receive high marks for innovative teaching methods, while Prof. Dr. Sami Haddadin in Robotics is praised for practical, hands-on courses. These ratings, drawn from real student feedback, emphasize clarity in lectures, fairness in grading, and engagement in research opportunities. With over 10,000 professors and researchers at TUM, the platform covers a wide range, from the School of Engineering and Design to the School of Natural Sciences. Students frequently note how ratings help avoid overly challenging courses without sufficient support, or select electives that align with career goals in fields like sustainable energy or artificial intelligence. The platform promotes transparency, encouraging constructive reviews that can lead to curriculum improvements. By participating, you contribute to a database that not only aids course selection but also celebrates faculty who excel in mentoring. TUM's global ranking as one of Europe's top technical universities is bolstered by such feedback, attracting international talent. To get started, explore professor ratings and add your own insights. This community-driven approach ensures that education at TUM remains cutting-edge and student-focused. Whether you're a current student in Munich or a prospective one from abroad, these ratings provide valuable insights into the academic environment. Join thousands who have used Rate My Professor to navigate their studies effectively.
Highly rated for computational mechanics courses, with students appreciating real-world applications.
Praised for robotics lectures, focusing on innovation and student engagement.
Top marks in product development, noted for collaborative teaching style.
Professor ratings at Technical University of Munich have transformed countless academic journeys. Take Anna, a computer science student from Munich, who used Rate My Professor to select a machine learning course taught by Prof. Dr. Matthias Niessner. The high ratings for his clear explanations and practical projects helped her avoid a less engaging alternative, leading to a research internship at TUM's Visual Computing Lab and eventually a job at a leading AI firm in Bavaria. This choice not only boosted her GPA but also ignited a passion for computer vision, showcasing how rate my professor TUM guides course selection effectively. Another story involves Prof. Dr. Thomas Hofmann in the Department of Informatics, whose excellent reviews for data science classes prompted a surge in enrollments. A student from India, Raj, relied on these professor ratings Technical University of Munich to choose his electives, resulting in a thesis project that won an award at an international conference. His success story highlights celebrating teaching excellence through honest feedback. On the faculty side, Dr. Laura Fabbietti in Physics received a promotion after consistent high ratings emphasized her impactful teaching in particle physics, enhancing her visibility for global collaborations. Parents also benefit; one from Germany used rate my prof Technical University of Munich to advise their child on chemistry courses with Prof. Dr. Horst Kessler, leading to a smoother transition into TUM's rigorous program and improved academic performance. Finally, a group of engineering students rated Prof. Dr. Martin Buss in Automation and Information Systems, whose constructive reviews led to course adjustments that better prepared them for industry roles in Munich's tech sector. These narratives demonstrate how ratings improve education quality, join a global community, and enhance university rankings at TUM.
Technical University of Munich boasts top-rated professors across various departments, as reflected in student reviews on Rate My Professor. In the Department of Mechanical Engineering, Prof. Dr. Tim Lüth is frequently commended for his expertise in medical robotics, with ratings highlighting interactive seminars that foster innovation. The Electrical and Computer Engineering Department shines with Prof. Dr. Gerhard Kramer, known for communications theory courses that receive acclaim for depth and applicability. Computer Science features Prof. Dr. Nassir Navab, whose work in medical imaging earns high marks for blending theory with practice. In Physics, Prof. Dr. Martin Beneke stands out for theoretical particle physics, with students appreciating his ability to simplify complex concepts. The Chemistry Department highlights Prof. Dr. Thorsten Bach for organic synthesis, praised for engaging lab sessions. Departments like Informatics and Aerospace Engineering also excel, with overall ratings contributing to TUM's reputation. For detailed reviews, check individual profiles. These top-rated faculty members enhance the learning experience in Munich, Bavaria.
View Professor ReviewsUsing professor ratings at Technical University of Munich can significantly aid in course selection. Start by reviewing feedback on teaching style; for example, Prof. Dr. Claudia Eckert in Product Development is rated highly for collaborative approaches, ideal for team-oriented students. Consider workload insights—ratings often note if courses like those in Robotics by Prof. Dr. Sami Haddadin involve heavy projects. Look for comments on clarity, as in Prof. Dr. Wolfgang A. Wall's mechanics classes, which are praised for accessible explanations. Balance difficulty with interest; high-rated professors in Computer Science, such as Prof. Dr. Matthias Niessner, offer challenging yet rewarding content. Cross-reference with Rate My Course for comprehensive views. This method helps tailor your schedule to career goals in fields like sustainable engineering at TUM.
Student reviews at TUM often highlight themes like innovative teaching and research integration. One anonymized quote: "Prof. Dr. Thomas Hofmann's data science course was transformative, with real datasets from industry partners." Another: "In Physics, Prof. Dr. Laura Fabbietti's lectures on nuclear physics are engaging and well-structured." Common insights include appreciation for practical applications in engineering departments and suggestions for more office hours in high-enrollment classes.
Professor ratings directly influence TUM's global rankings by showcasing teaching quality. High feedback on platforms like Rate My Professor elevates metrics in QS and Times Higher Education, attracting top talent to Munich. Honest reviews drive improvements, enhancing institutional reputation in Europe.
TUM's faculty includes globally recognized experts like Prof. Dr. Ferdinand Lindner in Economics, awarded for policy research, and Prof. Dr. Marion Kiechle in Medicine, noted for oncology advancements. Their high ratings reflect excellence in teaching and research.
Over the past decade, TUM ratings have trended upward, with improvements in departments like Informatics. Prof. Dr. Nassir Navab has shown the most progress, adapting to student feedback for better engagement.
Join the Rate My Professor community at TUM by sharing your experiences. The process is simple—visit How Rate My Professor Works. Contribute to guiding others and explore Higher Ed Jobs at AcademicJobs.com.
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