Computer Science and Engineering:
The Bachelor of Technology (B.Tech) program in Computer Science and
Engineering (CSE) provides the opportunity to gain a strong foundation in
computer science, develop programming skills, and explore various aspects of
technology and its applications. In order to give due importance to applied
as well as theoretical aspects of computing, the curriculum for the B.Tech.
(CSE) program covers most of the foundational aspects of computing sciences,
and also develops the engineering skills for problem-solving using computing
sciences. The curriculum typically includes courses on programming
languages, data structures, algorithms, computer organization, operating
systems, computer networks, database management systems, software
engineering, artificial intelligence, machine learning, and more. These
courses will provide a solid foundation in computer science and engineering
principles and equip the students with the necessary skills to tackle
real-world challenges in the field.
Artificial Intelligence and Data Science:
The Bachelor of Technology (B.Tech) program in Artificial Intelligence &
Data Science will equip students with the skills and knowledge necessary to
work in a rapidly growing field. As businesses and industries worldwide
embrace AI and data-driven decision-making, there is an ever-increasing
demand for professionals who can develop and implement these technologies.
In addition, pursuing a B.Tech. in AI and Data Science will give the
opportunity to work on cutting-edge research projects and gain hands-on
experience with the latest tools and technologies. Students will learn
skills like machine learning, natural language processing, data analytics,
and more and be able to apply them to real-world problems. Also, it can lead
to a number of exciting career opportunities, from working as a data analyst
or AI engineer to developing new AI-powered products and services.
The curriculum for the program is designed to provide an adequate balance of
fundamental, core, and elective courses. The fundamental courses will be
focused on two broad areas that are prerequisites for the core courses
related to Data Science viz. mathematical foundation like Linear Algebra,
Probability, and Statistics, etc. and computer science and engineering like,
Data Structure and Algorithms, Computer Networks, etc. The core courses
related to AI & data science will involve subjects like Artificial
Intelligence, Machine learning, Deep Learning, etc. The bucket of electives
would comprise focused and state-of-the-art courses like Natural language
processing, Machine translation, conversational AI, Social Mining, Next
generation networking technologies, etc.
Computer Science and Engineering (CSE):
Applied Computer Science (AI, DL, ML, IoT, Data Science, etc.).
Theoretical Computer Science (Algorithms)
Communication and Computing Engineering (CCE):
Next-Generation Communication, Autonomous Vehicles, Computer Vision, Drone Communication, Internet of Things, Intelligent Transportation Systems, Edge/Fog Computing
Mathematics and Computing (MC):
Geometry of Banach Spaces, Linear Operators, Number Theory, Fractional Differential Equations, Controllability, Stability Theory
Complex Network Dynamics with AI, Spectral Graph Theory, Complex Systems, and Network Analysis