Department
Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Students Grievances
Collection of Feedback from Parent, Student, Teacher, Alumni, and Employers:
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) collects the feedback on curriculum aspects and courses from different stakeholders such as the students, alumni, Faculty and Employers. Institution established Academic Council in order to ensure and analyze the academic excellence at student and faculty levels. Periodical analysis is made by Academic Council from the following: student performance, faculty performance in every semester, utilization of infrastructure and requirements for quality enrichment. Computer Science and Engineering (Artificial Intelligence and Machine Learning) thoroughly reviews the curriculum for every academic year. The college maintains an IQAC as a quality consistence and quality enhancement measure. In supervision of IQAC, various departments and committees like Career Guidance, Anti-Ragging and Sexual Harassment Committee, etc reinforce the curriculum by incorporating updated information and diurnal social issues. Institute collects the feedback physically from stockholders viz. Students, Parents and Teachers on Curriculum which is prescribed by the university, further college website invites ala stockholder to provide feedback through online. The Computer Science and Engineering (Artificial Intelligence and Machine Learning) conducts annual Alumni Meet, in which suggestions and feedback is received from Alumni students. Feedback from industrial management, R & D establishments and professionals is obtained through college website’s feedback blog. The provided feedback data is presented to the Academic Council Meeting for necessary implementation in curriculum.
- Alumni surveys are conducted during alumni interaction at the alumni association meeting held every year
- Whenever any alumni visits the college, feedback is taken
- Further, college website invites alumni to provide feedback through online.
- Feedback from industry, R & D establishments, professional bodies also are obtained.