Last Updated: Aug 27, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Algorithms & Complexity | 25% | - Algorithm design and analysis - Big O notation, time and space complexity - Sorting and searching algorithms - Recursion and iterative structures |
| Discrete Mathematics & Logic | 25% | - Boolean algebra and digital logic - Proof techniques and mathematical induction - Set theory, relations, functions - Propositional and predicate logic |
| Computer Architecture & Organization | 15% | - Memory hierarchy and performance - CPU, memory, I/O systems - Instruction sets and execution cycles - Von Neumann architecture |
| Software Engineering & Programming Basics | 15% | - Basic syntax and control structures - Testing and debugging fundamentals - Software development lifecycle - Programming paradigms |
| Data Structures | 20% | - Data storage and retrieval principles - Primitive and composite data types - Arrays, linked lists, stacks, queues - Trees, graphs, hash tables |
1. Which Python command can be used to display the results of calculations?
A) compute()
B) result()
C) print()
D) solve()
2. What is the time complexity of a binary search algorithm?
A) O(log n)
B) O(2^n)
C) O(n)
D) O(n^2)
3. Which principle can be used to implement an algorithm to calculate factorial or Fibonacci sequence?
A) Iterative programming
B) Procedural programming
C) Object-oriented programming
D) Recursion programming
4. How can someone subset the last two rows and columns of a 2D NumPy array?
A) array[-1:, -1:]
B) array[:, -2:]
C) array[-2:, -2:]
D) array[-2:, :]
5. Which file system is commonly used in Windows and supports file permissions?
A) EXT4
B) FAT32
C) HFS+
D) NTFS
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
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