About Department

 
  • Computer Science & Engineering
    (Artificial Intelligence and Machine Learning)
  • Year of Commencement: 2020-21
  • Intake : 60
  • Current Intake: 180 (from 2022-23)

 

Dr. Suresh Balpande (HOD)

 



Vision

To Continually improve the education environment, in order to develop graduates with strong academic and technical background needed to achieve distinction in the discipline. The excellence is expected in various domains like workforce, higher studies or lifelong learning. To strengthen links between industry through partnership and collaborative development works.

Mission

To develop strong foundation of theory and practices of computer science amongst the students to enable them to develop into knowledge, responsible professionals, lifelong learners and implement the latest computing technologies for the betterment of the society.

Salient features of Department

The programme covers fundamental courses of Computer science and engineering major including programming for problem solving, Data Structures, Computer Architecture, Operating Systems, Algorithms, Computer Networks, Database Management Systems, Compiler Design. The foundation of Computer Science and Engineering enriched by the specialized technical courses on Artificial Intelligence, Machine learning, Deep Learning, Natural Language processing, Data Analytics and Visualization, Image and video processing, Computer vision, Internet of thing. Courses on various application domain and advanced techniques are included such as : Information Retrieval, Biomedical Image Processing, Social network Analysis, Cyber Security Intelligence, Reinforcement learning, Cloud computing, Big data Analytics, Robotics, Game theory, Cognitive systems, Soft Computing.

The programme offers an opportunity to assimilate the students by studying both foundational and experimental components of AI and ML. Artificial Intelligence (AI) & Machine Learning (ML) are increasingly necessary to translate today’s exponentially growing data into direct business value. It illustrates how AI and ML fit in the data science ecosystem, and presents several real-world use cases that show how companies are implementing ML to maximize their business results. The Curriculum also covers human and ethical aspects through the courses like Cyber laws and Ethics in IT, Constitution of India, Environment Sciences, Business Communication for Engineers, Indian Traditional Knowledge etc.

The programme offers one full semester industry internship facility to final year students to nurture and build professional, ethical and responsible citizen.