Intro to Computational thinking

Front

What is an algorithm in the context of computing?

Back

An algorithm in computing is a set of well-defined instructions for solving a problem.

Front

Why is abstraction important in solving computational problems?

Back

Abstraction simplifies the complexity of a problem and allows for the design of efficient solutions.

Front

Explain the concept of decomposition in problem-solving.

Back

Decomposition breaks complex problems into simpler parts for easier solving.

Front

Why is pattern recognition crucial in computing?

Back

It is crucial to identify regularities in complex data and facilitate automated decision-making.

Front

Describe the problem-solving process in computational thinking.

Back

Breaking the problem into smaller parts, identifying patterns, designing algorithms, implementing and testing those algorithms, and combining the solutions.

Front

What does modeling a problem mean in the context of computing?

Back

Represent a problem using tools such as diagrams, pseudocode, or mathematical models.

Front

Explain the importance of transformation and composition in programming.

Back

They are essential for code reuse, modularization, and creating readable and maintainable programs.

Front

What are the implications of encapsulation and generalization in algorithm design?

Back

Simplification, code reuse, modularity, and flexibility.

Front

Why are data structures important in programming?

Back

Data structures are important for organizing and storing data efficiently, facilitating the manipulation, search, and retrieval of information optimally.

Front

How can data structures improve algorithm efficiency?

Back

By using data structures like arrays, linked lists, trees, graphs, to store and manipulate data efficiently.