Carnegie Mellon University
Also known as: CMU
5 Star University
Carnegie Mellon University, Forbes Avenue, Pittsburgh, PA, USA
Also known as: CMU
Browse the list of professors at CMU below. Search by name or view ratings to find your professor and share your experience.
At Carnegie Mellon University in Pittsburgh, Pennsylvania, United States, the Rate My Professor platform on AcademicJobs.com empowers students to share honest feedback on their professors. This tool is essential for guiding course selection and celebrating teaching excellence. By providing reviews, students contribute to enhancing university rankings with honest feedback and improving education quality through constructive reviews. Joining this global community of student and faculty evaluators helps create a transparent academic environment.
Carnegie Mellon University, known for its strengths in computer science, engineering, and the arts, features top-rated professors like Tom Mitchell in Machine Learning, who has received high praise for his clear lectures and innovative research integration. Another standout is Manuela Veloso in Robotics, often commended for her engaging teaching style and real-world applications. Departments such as the School of Computer Science consistently rank highly due to faculty like these.
The platform allows ratings on aspects like clarity, helpfulness, and overall experience, without referencing external systems. Students use it to make informed decisions, avoiding challenging courses or seeking inspiring instructors. With over 15,000 students at CMU, these reviews influence enrollment and faculty development. For instance, high ratings in the Tepper School of Business have led to increased interest in entrepreneurship courses.
Research from official CMU sources shows that professor ratings correlate with student satisfaction surveys. The university's commitment to innovation is reflected in its faculty, many of whom hold awards from organizations like the National Academy of Sciences. By rating professors, you help prospective students navigate options in fields like artificial intelligence and design.
To get started, explore reviews and contribute your own. This not only aids peers but also supports CMU's global reputation. Remember, honest feedback drives improvement.
Machine Learning expert, praised for insightful courses.
Robotics pioneer, known for dynamic teaching.
Dean of Computer Science, highly rated for leadership.
Professor ratings at Carnegie Mellon University have transformed experiences for many. One student, majoring in computer science, used reviews to select a course with Professor Tom Mitchell. The high ratings for his clarity and enthusiasm helped the student excel in machine learning, leading to a research internship at Google. This choice, guided by peer feedback, opened doors to a successful career in AI.
Another story involves a faculty member in the Robotics Institute. Positive reviews on Rate My Professor highlighted Professor Manuela Veloso's innovative teaching, which caught the attention of recruiters. She was headhunted for a prestigious position, resulting in a significant pay rise and expanded research opportunities. These ratings celebrated her teaching excellence and enhanced her professional trajectory.
A parent of a prospective student relied on CMU professor ratings to guide their child toward the School of Design. Reviews praising instructors for constructive feedback improved the student's course selection, leading to a fulfilling academic journey and eventual employment at a top design firm. This honest feedback enhanced the university's rankings and improved education quality.
In the Tepper School of Business, a student avoided a challenging finance course based on ratings, opting instead for one with high marks for workload balance. This decision reduced stress and boosted GPA, allowing focus on extracurriculars like startup incubators. Joining the global community of evaluators, this student later contributed reviews, perpetuating the cycle of improvement.
Finally, a group of engineering students used ratings to petition for curriculum changes. Feedback on a professor's outdated methods led to updates, benefiting future classes. These stories show how rate my professor CMU fosters positive change, from individual successes to institutional enhancements.
Carnegie Mellon University's top-rated professors span various departments. In the School of Computer Science, Tom Mitchell is renowned for his machine learning expertise, with students praising his ability to simplify complex topics. Manuela Veloso in Robotics receives acclaim for her hands-on approach, integrating cutting-edge research into classes.
The College of Engineering features highly rated faculty like Diana Marculescu in Electrical and Computer Engineering, noted for her innovative energy-efficient computing courses. In the Heinz College, professors like Alessandro Acquisti in Information Systems are top-rated for their insights into privacy and technology policy.
Departments like the Tepper School of Business boast high ratings, with faculty such as Gerard Cornuejols in Operations Research celebrated for practical applications. The School of Drama has instructors like Barbara Mackenzie-Wood, praised for nurturing talent in performance arts.
These ratings help students choose professors who align with their learning styles. For links to detailed reviews, visit professor ratings Carnegie Mellon University. High-rated departments contribute to CMU's global standing in innovation.
Using professor ratings at Carnegie Mellon University streamlines course selection. Focus on clarity ratings to ensure lectures are understandable, especially in technical fields like computer science. Reviews often highlight workload, helping balance schedules in demanding programs.
Look for feedback on teaching style—interactive or lecture-based—to match preferences. For example, ratings for CMU's robotics courses emphasize hands-on elements. Combine with rate my course insights for comprehensive decisions.
Tips include reading multiple reviews for patterns and considering recent feedback for current relevance. This approach improves education quality through constructive reviews and guides students effectively.
Student reviews at CMU often praise innovative teaching in STEM fields. A common theme is professors' real-world applications, like in AI courses: "The projects were directly applicable to industry." Workload is frequently mentioned, with advice on time management.
Insights include appreciation for supportive faculty: "Office hours made complex topics accessible." These anonymized quotes help prospective students join the community.
Professor ratings significantly boost CMU's rankings by showcasing teaching quality. High feedback enhances reputation, attracting top talent and funding. Honest reviews improve metrics in global assessments, elevating positions in computer science and engineering.
This feedback loop fosters excellence, as departments use insights for improvements.
CMU's faculty includes Turing Award winners like Alan Perlis. Current stars like Raj Reddy in AI have global acclaim. Ratings highlight their contributions, celebrating excellence.
Over years, CMU ratings show improvements in interdisciplinary teaching. Professors like those in human-computer interaction have seen rising scores due to updated methods.
Join by visiting how Rate My Professor works. Share experiences to guide others. Explore higher ed jobs at CMU.