Artificial Intelligence and Machine Learning (AI & ML) is an emerging area of Computer Science & Engineering (CSE). The increasing importance of Artificial Intelligence motivated the department of Computer Science and Engineering to offer a B.Tech program in CSE (AI & ML) from the year 2020 with an intake of 180.
B.Tech in Computer Science and Engineering (CSE) was accredited by the National Board of Accreditation (NBA) successively five times i.e. in 2008, 2013, 2016, 2019 and 2022 and M.Tech program in Computer Science and Engineering in the year 2019. The period of validity for B.Tech program in CSE in Tier - I is till 30 June, 2025 and M.Tech programs in CSE was till 30 June, 2022 (Submitted SAR for further accreditation status).
The main objectives of the department is :
1. Design and Develop
2. Enhance Knowledge
“Artificial Intelligence is a bigger concept to create Intelligent Machines that can simulate and act human thinking capabilities and behaviors, whereas, Machine Learning is an application of AI that allows machines to learn from data without being programmed explicitly”. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to grow careers in the upcoming technological era.
The department offers major courses such as Foundations of Machine Learning, Artificial Intelligence & Expert Systems, Machine Learning and Pattern Recognition, Natural Language Processing, Reinforcement Learning, Cyber Physical Systems. Several professional and open elective courses in Applied Machine Learning, Image and Vision Computing, Neural Computing and Robotics are also offered as a part of curriculum.
The department has well-equipped specialized laboratory facilities like Data Mining and Knowledge Discovery, Programming in Logic, Machine Learning and Pattern Recognition, Augmented Reality (AR) / Virtual Reality (VR), Deep Neural Networks, Natural Language Processing, Web Application Development, Big Data and Analytics, and Image and Speech Processing etc. The infrastructure and lab facilities are upgraded from time to time and provide good practical learning and innovative environment for the students and researchers.
The students are encouraged to participate in Hackathons / Projects / Internships to improve their practical knowledge. The department also organizes regularly co-curricular and extra-curricular activities for the all-round development of students such as seminars, workshops, group discussions, etc. The department imparts specialized training to students to pursue their career in core and other IT related streams through various skill development activities.