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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Structures | 20% | - Data storage and retrieval principles - Trees, graphs, hash tables - Arrays, linked lists, stacks, queues - Primitive and composite data types |
| Topic 2: Algorithms & Complexity | 25% | - Sorting and searching algorithms - Algorithm design and analysis - Big O notation, time and space complexity - Recursion and iterative structures |
| Topic 3: Computer Architecture & Organization | 15% | - Memory hierarchy and performance - Von Neumann architecture - Instruction sets and execution cycles - CPU, memory, I/O systems |
| Topic 4: Software Engineering & Programming Basics | 15% | - Software development lifecycle - Basic syntax and control structures - Testing and debugging fundamentals - Programming paradigms |
| Topic 5: Discrete Mathematics & Logic | 25% | - Boolean algebra and digital logic - Proof techniques and mathematical induction - Set theory, relations, functions - Propositional and predicate logic |
1. Given the following code, what is the expected output?
A) [1, 10]
B) [10, 20, 30, 40]
C) [1, 2, 3, 4]
D) array([10, 20, 30, 40])
2. What is traversal in the context of trees and graphs?
A) The process of connecting all nodes
B) The process of removing all nodes
C) The process of visiting all nodes
D) The process of changing the value of nodes
3. What is the method for changing an element in a Python list?
A) Use the del keyword and the element's value
B) Use parentheses and the plus sign
C) Use square brackets and the equals sign
D) Use curly brackets and the equals sign
4. What is the time complexity of a quicksort algorithm?
A) O(n log n)
B) O(1)
C) O(n)
D) O(log n)
5. How can someone subset the last two rows and columns of a 2D NumPy array?
A) array[-2:, -2:]
B) array[-1:, -1:]
C) array[-2:, :]
D) array[:, -2:]
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: A |
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