VLSI & Semiconductor Industry Essentials

Section Topic / Module Sub-Topics & Scope Weightage (Tentative)
I Engineering Mathematics Linear Algebra, Differential Equations, Probability, and basic Discrete Mathematics as applied to engineering concepts. 50 Marks
II Basic Python Programming Fundamental syntax, data types, control flow (loops, conditionals), functions, and basic object-oriented concepts with focus on problem-solving. —
III Basics of Electronics Semiconductor devices, circuit laws (Ohm's, KCL, KVL), RLC circuits, and basic digital logic gates. —

Cyber Security

Section Topic / Module Sub-Topics & Scope Weightage (Tentative)
I Engineering Mathematics Linear Algebra, Probability, and statistical methods relevant to security and data analysis. 50 Marks
II Basic Python Programming Python syntax, control flow, functions, file handling, scripting for automation and basic network operations. —
III Basics of Operating Systems (OS) Process management, memory management, file systems, and OS security concepts like users and permissions. —

Applied ML & Data Science

Section Topic / Module Sub-Topics & Scope Weightage (Tentative)
I Engineering Mathematics Covers:
  • Linear Algebra (Matrices, Eigenvalues)
  • Calculus (Differential & Integral)
  • Probability & Statistics
  • Discrete Mathematics
 50 Marks
II Basic Python Programming
  • Python Data Types
  • Control Structures
  • Functions & Modularity
  • File Handling
 —
III Basics of DBMS
  • ER & Relational Models
  • SQL Fundamentals
  • Normalization
  • Transactions & Concurrency
 —