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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Data Structures | 20% | - Trees, graphs, hash tables
- Data storage and retrieval principles
- Arrays, linked lists, stacks, queues
- Primitive and composite data types
|
| Topic 2: Discrete Mathematics & Logic | 25% | - Boolean algebra and digital logic
- Set theory, relations, functions
- Proof techniques and mathematical induction
- Propositional and predicate logic
|
| Topic 3: Software Engineering & Programming Basics | 15% | - Software development lifecycle
- Programming paradigms
- Testing and debugging fundamentals
- Basic syntax and control structures
|
| Topic 4: Algorithms & Complexity | 25% | - Algorithm design and analysis
- Recursion and iterative structures
- Big O notation, time and space complexity
- Sorting and searching algorithms
|
| Topic 5: Computer Architecture & Organization | 15% | - Von Neumann architecture
- Memory hierarchy and performance
- CPU, memory, I/O systems
- Instruction sets and execution cycles
|
WGU Foundations of Computer Science Sample Questions:
1. What happens if one element of a NumPy array is changed to a string?
A) All elements in the array are coerced to integers.
B) The operation is not allowed and raises an error.
C) All elements in the array are coerced to strings.
D) The array becomes a list of the original integers.
2. Which line of code below contains an error in the use of NumPy?
A) import numpy as np
B) print(wgu_list)
C) wgu_list = np.quicksort(arr)
D) arr = np.array([3, 2, 0, 1])
3. What is the main advantage of using NumPy arrays over regular Python lists for data analysis?
A) NumPy arrays can only hold elements of the same type.
B) NumPy arrays can bring different types into the array at the same time.
C) NumPy arrays can concatenate lists by default.
D) NumPy arrays can perform calculations over entire collections of values.
4. What is the component of the operating system that manages core system resources but allows no user access?
A) The File Explorer
B) User interface layer
C) The kernel
D) Device driver manager
5. Which aspect is excluded from a NumPy array's structure?
A) The shape of the array
B) The data type or dtype pointer
C) The encryption key of the array
D) The data pointer
Solutions:
Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: C |