Labs

Foundational data structures lab covering arrays, stacks, queues, trees, and sorting algorithms for first-year CS students.

Lab covering relational databases, SQL, normalization, indexing, and query optimization with hands-on coding assignments.

Intensive competitive programming lab focused on contest strategy, speed coding, and advanced problem-solving techniques.

Introductory ML lab covering linear algebra, probability, classification, regression, and neural network basics through coding exercises.

Practical web development lab covering HTML, CSS, JavaScript, React, and data structure applications in frontend and backend systems.

Advanced algorithmic techniques covering dynamic programming, graph algorithms, greedy approaches, and divide & conquer.

Hands-on lab for operating system concepts including process management, memory management, and scheduling algorithms.

Comprehensive lab covering fundamental data structures and algorithms including arrays, linked lists, trees, graphs, and dynamic programming.