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WGU Foundations-of-Computer-Science Exam Syllabus Topics:

SectionObjectives
Computer Science Fundamentals- Core CS Concepts
  • 1. Computational thinking and problem solving
    • 2. Algorithm efficiency and Big-O basics
      • 3. Basic programming logic and algorithms
        - Data Structures Introduction
        • 1. Arrays and lists
          • 2. Basic sorting and searching concepts
            Data & Security Basics- Data Handling
            • 1. Data profiling concepts
              • 2. Basic database concepts overview
                - Security Fundamentals
                • 1. Basic cybersecurity threats and mitigation
                  • 2. Encryption basics (at rest vs in transit)
                    Operating Systems & Architecture- System Architecture
                    • 1. Von Neumann architecture basics
                      • 2. Hardware vs software abstraction
                        - OS Fundamentals
                        • 1. Memory management concepts
                          • 2. Process states and scheduling basics
                            Programming Foundations- Programming Concepts
                            • 1. Basic pseudocode interpretation
                              • 2. Control flow (if/else, loops)
                                • 3. Variables, data types, expressions
                                  - Language Concepts Overview
                                  • 1. Compiled vs interpreted languages
                                    • 2. Programming paradigms overview

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                                      Foundations-of-Computer-Science Exam Sample - Foundations-of-Computer-Science: WGU Foundations of Computer Science First-grade Exam Sample

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                                      WGU Foundations of Computer Science Sample Questions (Q59-Q64):

                                      NEW QUESTION # 59
                                      What is the time complexity of a quicksort algorithm?

                                      Answer: A

                                      Explanation:
                                      Quicksort is a divide-and-conquer sorting algorithm. It works by selecting a pivot element, partitioning the array into two subarrays (elements less than the pivot and elements greater than the pivot), and then recursively sorting those subarrays. In the average case, the partition step splits the array into roughly equal halves, so the recurrence is commonly written as (T(n) = T(n/2) + T(n/2) + O(n)), where (O(n)) is the cost of partitioning. This solves to (O(n \log n)), which is why quicksort is widely taught as an efficient general- purpose sorting method.
                                      However, textbooks also emphasize that quicksort has a worst-case time complexity of (O(n

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