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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Software Engineering & Programming Basics | 15% | - Software development lifecycle
- Basic syntax and control structures
- Programming paradigms
- Testing and debugging fundamentals
|
| Topic 2: Computer Architecture & Organization | 15% | - Memory hierarchy and performance
- CPU, memory, I/O systems
- Instruction sets and execution cycles
- Von Neumann architecture
|
| Topic 3: Algorithms & Complexity | 25% | - Big O notation, time and space complexity
- Recursion and iterative structures
- Algorithm design and analysis
- Sorting and searching algorithms
|
| Topic 4: Discrete Mathematics & Logic | 25% | - Set theory, relations, functions
- Boolean algebra and digital logic
- Proof techniques and mathematical induction
- Propositional and predicate logic
|
| Topic 5: Data Structures | 20% | - Primitive and composite data types
- Trees, graphs, hash tables
- Arrays, linked lists, stacks, queues
- Data storage and retrieval principles
|
WGU Foundations of Computer Science Sample Questions:
Question 1
What is the method for changing an element in a Python list?
A. Use the del keyword and the element's value
B. Use curly brackets and the equals sign
C. Use parentheses and the plus sign
D. Use square brackets and the equals sign
Question 2
Which statement describes the data type restriction found in most NumPy arrays?
A. NumPy arrays adapt to the most complex data type on the fly.
B. NumPy arrays are restricted to string data types only.
C. NumPy arrays must be of the same type of data.
D. NumPy arrays can only hold integer data types.
Question 3
What is the layer of programming between the operating system and the hardware that allows the operating system to interact with it in a more independent and generalized manner?
A. The boot loader layer
B. The task scheduler layer
C. The hardware abstraction layer
D. The file system layer
Question 4
Which sorting algorithm works by finding the smallest or largest element in an unsorted part of a list and moving it to the sorted part of the list?
A. Selection sort
B. Quicksort
C. Radix sort
D. Heap sort
Question 5
Given the following code, what is the expected output?
A. [1, 2, 3, 4]
B. array([10, 20, 30, 40])
C. [10, 20, 30, 40]
D. [1, 10]
Solutions:
Question 1 Answer: D | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A |