Rajalakshmi Institute of Technology Faculty Details & Reviews ,Poonamallee, Chennai

Faculty: The curriculum is all updated and quite easy to learn and many of the faculty members here are really helpful they guide you a lot. More than academics, you will get to participate in many tech events, and you can showcase your talent and abilities. So overall it is pretty good.

Faculty: Most faculty members have completed Ph.D. or a doctorate in a particular field of study. In the first year you might need to study the basics of all the core engineering departments and in the later years you will move to the department-oriented study which is completely based on your course.

Faculty: Teachers are friendly and polite, they help you except for some staff. We are doing a company visit once a year, last semester we visited a Bangalore company, now we are visiting Chennai at Nandhanam. Semesters are easy only compared to other colleges, where the pass percent is above 80%.

Faculty: Teachers are kind and helpful. They are friendly and help students who have difficulty understanding. The course curriculum is relevant, and we gain significant experience in the industry. Passing exams is easy. They make it easy to understand concepts.

Faculty: The teachers were kind and generous andhelpful to the student were attended to the teachers with their quality of teaching. The course is related to the curriculum and it makes the student to learn at industrial standards. The exams were easy and able to pass exams easily .

Faculty: Teachers were very kind and helpful in clarifying the doubts that the students were asking. Students were driven to industrial standards in the course curriculum. Passing the exam was simple and easy once the student learns the concepts correctly without mugging up.

Faculty: Teachers are kind and helpful in assisting with notes and books for preparation for the exam. Doubts can be clarified with professors. The college follows the Anna University curriculum, but the college is autonomous. The semester exams are easy to clear. There is no difficulty in clearing the exams.

Faculty: Amazing teachers, highly qualified professionals, and doubts can be clarified. They can even teach in Tamil itself in case the student is incapable of understanding English. It follows Anna University curriculum, and now it's an autonomous college. Students were trained practically in my department. They were instructed to do so. There is no difficulty in passing the semester, and our batch's pass percentage is 93 percent.

Faculty: Teachers are helpful, qualified, and knowledgeable. The teaching quality is quite understandable. My course is relevant to the curriculum. It helps students gain the necessary knowledge as it follows the Anna University Autonomous syllabus. It is easy to prepare for the semester exams, and the pass percentage is about 50 percent.

Faculty: At the moderate level, teaching and faculty. The course curriculum is moderate and industry-relevant. The semester exams are mostly easy. The pass percentage is average, around 80%. Curriculum can be improved, and they're a bit hard for the core and circuit branches.

Faculty: Faculty members are very helpful to the students. The curriculum is also good and related to the industry. Semester exams are a little bit tough. Internally, there are three exams: CAT 1, CAT 2, and CAT 3, and the assignment marks are considered. Semester exams are easy to pass and to score more marks.

Faculty: The course aims to build expertise in Data Science, Machine Learning, Deep Learning, and related subfields of Artificial Intelligence. There is a Centre for Data Science and Artificial Intelligence in RIT to support research projects, practical and hands-on lab training, workshops, and seminars.

Faculty: The course aims to build expertise in data Science, machines learning, deep learning, and related subfields of artificial intelligence. There is a centre for Data Science and artificial intelligence on the right to support research projects, practical and hands-on lab training, workshops, and seminars .

Faculty: The course aims to build expertise in data Science, machines learning, deep learning and related sub fields of artificial intelligence. There is a centre for data Science and artificial intelligence in RIT to support research projects, practical and hands on lab training, workshops, seminars.

Faculty: Faculty members are very good. In 1st year, after going to higher semesters maybe due to the hardness of the teaching may be difficult to understand. Exams are corrected by the staff themselves, and they pass everyone, if there is content in the sheet.