Department of Physics - Research
S.No | Name of the Supervisor | Specializations |
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S.No | Name of the Supervisor | Specializations |
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The Department of Physics was established in the year 1969 with a vision to develop quality engineers. The Department has highly qualified and dedicated faculty members.
S.No | Name of the Supervisor | Designation |
VISION
• We envision our students as excellent engineers, not only in the field of science and technology, but also in good citizenship and discipline.
• Our commitment lies in producing comprehensive knowledge seekers and humane individuals, capable of building a strong and developed nation.
MISSION
• To achieve the vision we should have diligent faculty who use effective teaching methodologies. To impart updated technical education and knowledge.
Department of Metallurgical Engineering has a well structured laboratory setup which brings in the practical experience for the students linking their theoritical knowledge with the experiments they perform. The department has the following laboratories and the equipments which favour the UG and PG students providing an industrial atmosphere within the college campus.
Mineral Dressing Laboratory: Jaw crusher, Roll Crusher, Ball Mill, Mineral Jig, Floatation Cell, Centrifugal Classifier, Sample Splitter, Bench Grinder.
VISION
To become a globally competent department in Metallurgical and Materials Engineering.
MISSION
Society for Advancement of Computer Science and Engineering (SACSE)
Memberships:
All the students of the department are members of the Departmental Association, Society for Advancement of Computer Science and Engineering.
Further to sharpen and share the technical knowledge, all the students of Computer Science and Engineering are members of prestigious technical institutions such as
1. ISTE student’s chapter-Indian Society for Technical Education.
2. IEI student’s chapter- Institution of Engineers India.
PSO1: Develop logical thinking and reasoning for designing the computerized solution to problems.
PSO2: Apply the knowledge in data handling and modeling to infer, predict, or prescribe data-centric business solutions.