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Mathematics-I (Calculus) introduces students to the fundamental concepts and techniques of calculus, covering topics such as limits, derivatives, integrals, and their applications in analyzing functions and solving real-world problems. Students will develop a deep understanding of mathematical concepts and problem-solving skills essential for further study in mathematics, engineering, and the sciences

Linear algebra is a branch of mathematics that deals with vector spaces and linear mappings between these spaces. It has various applications in computer science, including computer graphics, machine learning, and data analysis. Students learn about matrices, vectors, eigenvalues, and eigenvectors, and how these concepts relate to real-world problem-solving.

OOP is a programming paradigm that revolves around the concept of objects, which encapsulate data and behavior. Students studying OOP learn about key principles such as encapsulation, inheritance, polymorphism, and abstraction. Common programming languages that support OOP include Java, C++, and Python

This course explores the properties and applications of semiconductor materials in electronic devices. Students learn about the physical principles behind semiconductors, their behavior in electronic circuits, and the design and fabrication of semiconductor devices such as transistors and integrated circuits.

Software Engineering and Project Management equips students with skills to lead successful software projects, emphasizing project planning, team collaboration, agile methodologies for effective project execution, tools for project tracking and management, strategies for managing stakeholder expectations, and approaches for addressing challenges in distributed and remote project teams.

Theory of Computer Science delves into the theoretical underpinnings of computation, covering automata theory, formal languages, computability, complexity analysis, applications of theoretical concepts in solving practical computing problems, recent advances in quantum computing, and discussions on the philosophical implications of computational theory.

Concepts of Operating Systems explores the foundational concepts of operating systems, including process management, memory management, file systems, concurrency control, and security mechanisms, with a focus on understanding the role of operating systems in modern computing environments.

In Data Communication and Networking-I, students delve into the basics of data transmission across networks, exploring concepts such as the OSI model, networking protocols, device configurations, practical network troubleshooting, the fundamentals of network security, and the impact of emerging technologies on network infrastructure.

Database Systems introduces students to the principles and practices of managing and manipulating data, covering relational database design, SQL querying, transaction management, data modeling, and database administration.

Building upon foundational knowledge, Data Communication and Networking-II delves into advanced topics including network optimization, security protocols, emerging technologies like IoT and 5G, real-world case studies in network design, hands-on experience with network simulation tools, and discussions on the ethical and social implications of network technologies.

Advanced Software Engineering provides in-depth insights into methodologies for developing complex software systems, emphasizing architectural design, quality assurance techniques, agile methodologies, the integration of DevOps practices, strategies for software maintenance and evolution, and considerations for scalability and performance optimization.