The college maintains a favorable faculty-to-student ratio, with examples such as 1:40 and 1:8 in various departments, contributing positively to the learning environment. Faculty members are highly qualified, with all holding NET qualifications and many possessing post-doctoral research experience from foreign institutions. Faculty members have substantial publication records, with each having at least 5-10 publications. The examination system is structured into two main exams (Midsemester and End Semester) along with surprise tests, providing a balanced assessment approach.
Despite some concerns over syllabus completion and relative marking, most students manage to pass due to the fair marking scheme. Faculty are generally experienced and knowledgeable, with some exceptions noted in specific subjects like machine learning and artificial intelligence, where students feel more self-study is required. Overall, faculty members are considered professional, experienced, and committed to student education, contributing significantly to the college's reputation in a city where the quality of education is otherwise perceived as low.
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