All Past Papers

Programming Fundamentals

(PF)

Programming fundamentals, including variables, loops, functions, and conditionals, form the core skills needed for efficient and effective coding.

Linear Algebra

(LA)

Linear algebra explores vector spaces, linear transformations, and matrix operations. It’s essential for solving systems of linear equations, performing data analysis, and applications in computer graphics, optimization, and machine learning.

Calculus & Analytical Geometry

(Cal)

Calculus involves derivatives and integrals to analyze change and accumulation, while analytical geometry uses algebraic equations to study geometric shapes and their properties in coordinate systems, bridging algebra and geometry.

(CN)

Computer networks connect devices for data sharing and communication, using protocols and topologies. They enable resource sharing, efficient data transfer, and ensure network security and reliability.