E1. Floating-point representation: Calculations for denary values and normalized representations using two’s complement for mantissa and exponent.

2. TCP/IP protocol suite: Functions and arrangement of layers, with a focus on the transport and application layers.

3. Data types: Differentiation between composite and non-composite types, and record declarations for structured data representation.

4. File access methods: Sequential and serial file organization principles, application scenarios, and performance implications.

5. Reverse Polish Notation (RPN): Conversion between infix and RPN, evaluation of expressions with stack operations.

6. Boolean logic: Truth tables, Boolean expressions, Karnaugh maps for optimization, and simplification into a sum-of-products format.

7. Digital certificates: Definitions and roles in creating digital signatures.

8. Declarative programming: Clause creation, logical goals for data retrieval, and rules for conditional relationships.

9. Deep learning in AI: Explanation of neural networks, training models, and use in applications like pattern recognition.

10. Binary search: Conditions for searchability, pseudocode for implementation, and performance analysis using Big O notation.

11. RISC vs. CISC processors: Features, interrupt handling mechanisms, and the effect of pipelining on processing efficiency.