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Pattern Recognition, Abstraction, Algorithmic Thinking, Decomposition Flashcards | StudBud
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Pattern Recognition, Abstraction, Algorithmic Thinking, Decomposition
Pattern Recognition, Abstraction, Algorithmic Thinking, Decomposition
16 terms
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A quick overview and recap on the four main concepts in Programming
Flashcards
16 cards
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Questions
16
Answers
1
When do we use; Algorithmic Thinking?
When dealing with large-scale systems where details can be overwhelming.
Before designing an algorithm—identifying if a problem is similar.
After recognizing a pattern—developing a structured way to solve it.
Early in the problem-solving process to manage complexity.
2
When do we use; Abstraction
Before designing an algorithm—identifying if a problem is similar.
After recognizing a pattern—developing a structured way to solve it.
Early in the problem-solving process to manage complexity.
When dealing with large-scale systems where details can be overwhelming.
3
Learning to recognize traffic light sequences in different cities to predict when to stop/go... Is an analogy of what?
Abstraction
Algorithmic Thinking
Decompostition
Pattern Recognition
4
Decomposition; Poor decomposition can create
dependencies between modules
, making debugging harder.
TRUE
or
FALSE
?
True
False
5
Viewing a car as separate: engine, wheels, and interior independently but forming a whole... Is an analogy of what?
Algorithmic Thinking
Decompostition
Abstraction
Pattern Recognition
6
Algorithmic Thinking; Which best defines this term?
Filtering out unnecessary details to focus on the essential.
Developing a step-by-step process to solve a problem.
Breaking a complex problem into smaller, manageable parts.
Identifying patterns, trends, and similarities in problems.
7
Decomposition; Which best defines this term?
Identifying patterns, trends, and similarities in problems.
Breaking a complex problem into smaller, manageable parts.
Filtering out unnecessary details to focus on the essential.
Developing a step-by-step process to solve a problem.
8
Abstraction; Which best defines this term?
Filtering out unnecessary details to focus on the essential.
Breaking a complex problem into smaller, manageable parts.
Developing a step-by-step process to solve a problem.
Identifying patterns, trends, and similarities in problems.
9
Focusing only on essential road signs while driving, ignoring unnecessary details... Is an analogy of what?
Algorithmic Thinking
Decompostition
Abstraction
Pattern Recognition
10
Abstraction; Increases complexity, making software easier to manage. Is this a
TRUE
or
FALSE
?
False
True
11
Pattern Recognition; Which best defines this term?
Filtering out unnecessary details to focus on the essential.
Developing a step-by-step process to solve a problem.
Breaking a complex problem into smaller, manageable parts.
Identifying patterns, trends, and similarities in problems.
12
Writing a set of rules to drive efficiently using traffic laws... Is an analogy of what?
Pattern Recognition
Algorithmic Thinking
Abstraction
Decompostition
13
When do we use; Decomposition
After recognizing a pattern—developing a structured way to solve it.
Before designing an algorithm—identifying if a problem is similar.
When dealing with large-scale systems where details can be overwhelming.
Early in the problem-solving process to manage complexity.
14
Abstraction; Too much abstraction can lead to
lack of control
over system details. Is this a
TRUE
or
FALSE
?
False
True
15
When do we use; Pattern Recognition
When dealing with large-scale systems where details can be overwhelming.
After recognizing a pattern—developing a structured way to solve it.
Early in the problem-solving process to manage complexity.
Before designing an algorithm—identifying if a problem is similar.
16
Pattern Recognition; Speeds up problem-solving by recognizing familiar structures. Is this a
TRUE
or
FALSE
?
True
False
