Abstraction Decomposition Algorithmic thinking

• What is a key aspect of vertical computer science?

  Critical thinking and problem-solving
• What is decomposition in problem-solving?

  Breaking a problem into subproblems
• How can the economy be analyzed using decomposition?

  By breaking it down into four aspects
• What should each subproblem in decomposition accomplish?

  Each should accomplish an identifiable task
• Why is it important for subproblems to be independent?

  To solve each subproblem independently
• What is abstraction in computer science?

  Removing unnecessary data from a problem
• What does abstraction help to achieve in problem-solving?

  It makes problems more meaningful and manageable
• What is a model in the context of abstraction?

  A generalized view of the essence of a problem
• How does abstraction relate to programming?

  It allows ignoring implementation details
• How do layers of abstraction function in programming?

  Each layer abstracts details from the layer below
• What is algorithmic thinking in computer science?

  A skill set related to problem-solving and algorithms
• Why is it important to consider special cases in algorithms?

  To ensure the algorithm handles most possibilities
• What is a potential mistake regarding abstraction and decomposition?

  Confusing abstraction with decomposition
• What is the relationship between abstraction and implementation?

  Implementation is the opposite of abstraction
• Why is improving efficiency important in algorithm design?

  To create effective and fast algorithms
• What happens when you program an algorithm compared to its design?

  It becomes more complicated with implementation details
• What is a common misconception about abstraction?

  That it is the opposite of decomposition