B.E. Computer Science and
Engineering (CSE)

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

• The goal of the Department of Computer Science and Engineering (CSE) is to provide students with top-notch instruction using the latest developments in computer technology. To ensure that students are prepared for the ever-evolving field of computer science and engineering, the department regularly updates the academic syllabus to maintain the highest standards of instruction.
• The CSE Curriculum has been framed, based on NEP guidelines, with a focus on multidisciplinary education. All the recommendations of NEP have been carefully considered while framing the syllabus, with input from experts from Industry and academia. The curriculum uses the Choice Based Credit System (CBCS), which gives students the freedom to choose their own subjects of interest.
• The department adopted emphases on IPCC courses like Data Structures, Language Technologies, Python Programming, Analysis and Design of Algorithms, Database Management Systems, Web Programming, Machine Learning, Cryptography and Network Security, Data Science, Artificial Intelligence, Cryptography, Cloud Computing, Block Chain Technology, Parallel Computing, Internet of Things, Big Data Analytics, Soft Computing, Deep Learning, Natural Language Processing and a few more recent areas. As a part of the IPCC curriculum, the students are engaged with hands-on experience over Mini projects.
• The 3rd and 4th semesters are structured with a total of 20 credits each. The curriculum includes essential courses such as Data Structure and Applications, Database Management Systems, Digital Design and Computer Organization, Python Programming, Design Analysis of Algorithms, Microcontrollers, Programming Using Java.
• The fifth semester focuses on expanding students’ understanding of Software Engineering and Project Management, Theory of Computation, Computer Networks, Data Visualization Lab. The semester also includes courses on Professional Electives like Distributed Systems, Research Methodology and IPR, UNIX Shell Programming and Artificial intelligence.
• In the sixth semester, students engage in the learning process of Cloud Computing, Machine Learning, and Mini Project. The semester also includes courses on Professional Electives like Block Chain Technology, Computer Vision, Compiler Design, and Advanced Java. Open Electives like Mobile Application Development, Introduction to AI. Fifth and sixth semesters are structured with 20 and 18 credits respectively to provide a comprehensive educational experience.
• In the seventh semester, students have the opportunity to learn Internet of Things, Parallel computing, Cryptography and Network Security, Major Project and choose from a range of professional elective courses that tailor their learning experience to their interests and career goals such as Internet of Things, Artificial intelligence, Deep Learning, Big data analytics, Soft Computing Cyber Security.
• In the eighth semester the students also participate in a research or industrial internship and present a seminar, culminating in their undergraduate studies with practical experience and academic engagement. Seventh and eighth semesters have credits of 24 and 16 respectively.