Computer Science & Engineering(AI)

Computer Science and engineering The Department of Computer Science& Engineering at Engineering College Dholpur is known for imparting state of the art education and preparing its students for real world challenges. The Department is dedicated towards providing its students with a motivating environment and facilitating their academic requirements with committed and expert supervision of faculty and experts from various fields from time to time. Computer Science Engineering (CSE) focuses on designing, developing, and improving software, hardware, and computing systems using programming, algorithms, and problem-solving skills
SALIENT FEATURES
 Department organizes workshops, seminars & short term training programmes for its students.
 Internet facility is provided in the laboratories.
 Apart from active participation in various extracurricular activities, the students also work on live from industry and various professional bodies like DST, IE and AICTE etc.
 Classrooms are equipped with projectors with audio video systems.
 Departmental Library facility is provided.
Vision
 To produce competent professionals in the field of computer science and engineering.
 To innovate and build technology-driven solutions that improve lives through computing.
Mission
 Prepare the students with strong fundamental concepts, analytical capability, programming, problem solving skills and strong ethics.
 Provide opportunities to promote organizational and leadership skills in students.
 To disseminate digital innovation among society.
Contact Us For more details about the Computer Science and engineering, admission process, or career guidance, reach out to Vinay Baghela Department of Computer Science.

Mr. Vinay Baghela

Head of Department

📧 cs.gecd@gmail.com

📞 8949376244

Mr. Madhav Garg

Lecturer

📧

 

📞 9166238078

Mr. Gajendra Singh

Lecturer

📧 gsshekhar15@gmail.com

📞 96805 66146

Ms. Vanshika Yaduvanshi

Lab Technician

📧 vanshikajhiriwal@gmail.com

Program Highlights Computer Science & Engineering (AI):
  • Computer Science Foundation
  • Artificial Intelligence (AI)
  • Data Science
  • Robotics
  • Machine Learning (ML)
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Ethical and Responsible AI
  • Research and Innovation
  • Practical Applications

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