2.1 Notes

Question 1

What is abstraction in computational thinking?

Answer 1

Simplifies problem-solving by focusing on relevant details and ignoring unnecessary complexity.

Key aspects include user-centric design, iconography, data representation, visual algorithms, and hidden complexity.

Question 2

What is user-centric design in computational thinking?

Answer 2

Interfaces are simplified for user interaction; users don’t need to know data storage mechanics.

This approach enhances user experience by minimizing the cognitive load on users.

Question 3

What role does iconography play in computational thinking?

Answer 3

Icons symbolize actions without needing realistic detail, aiding quick recognition.

This helps users understand commands or functions quickly.

Question 4

How does data representation function in computational thinking?

Answer 4

Structures abstract data for easier algorithm development, focusing on connections over visuals.

It allows programmers to work with data logically rather than visually.

Question 5

What are visual algorithms?

Answer 5

Flowcharts abstract complex algorithms, making them understandable.

They provide a visual representation of the logic flow in algorithms.

Question 6

What is hidden complexity in programming?

Answer 6

Programmers use abstract variables, focusing on logic without hardware details.

This allows programmers to work at a higher level without worrying about underlying complexities.

Question 7

What is decomposition in computational thinking?

Answer 7

Breaks complex problems into manageable parts.

Key aspects include programming skill, real-world examples, game development, teamwork, reusability, and creativity.

Question 8

Why is programming skill important in decomposition?

Answer 8

Essential for creating clear algorithms and managing large projects.

It helps in organizing thoughts and tasks effectively.

Question 9

How do real-world examples illustrate decomposition?

Answer 9

Daily tasks (e.g., crossing the road) show natural decomposition.

These examples help learners relate computational concepts to everyday actions.

Question 10

How does game development benefit from decomposition?

Answer 10

Breaking down a game into tasks makes it manageable, speeds up development, and reduces costs.

This method enhances project efficiency and quality.

Question 11

What is the advantage of teamwork in decomposition?

Answer 11

Dividing tasks allows specialists to work concurrently, improving efficiency and quality.

Collaboration fosters innovation and faster problem-solving.

Question 12

What is reusability in the context of decomposition?

Answer 12

Decomposed parts can be reused in future projects, enhancing efficiency.

This reduces redundancy and saves time in project development.

Question 13

How does decomposition foster creativity?

Answer 13

Enables focus on refining components, driving innovation.

It allows for experimentation and improvement of individual parts.

Question 14

What are structure diagrams used for?

Answer 14

Visual tool to break down complex problems into smaller tasks, aiding stepwise programming.

They facilitate understanding and communication among developers.

Question 15

What does stepwise refinement entail?

Answer 15

Iterative breakdown of tasks ensures no details are missed.

This method promotes thoroughness in problem-solving.

Question 16

What is the importance of adaptability in structure diagrams?

Answer 16

Different tasks require varying breakdown levels, fitting each program segment’s needs.

This ensures that the diagram is relevant and useful.

Question 17

What is the focus of each lowest-level node in structure diagrams?

Answer 17

Each lowest-level node has a specific goal, simplifying coding.

This clarity aids developers in implementing solutions effectively.

Question 18

How do structure diagrams assist in collaboration?

Answer 18

Assists communication among developers and stakeholders.

They provide a common visual reference for project discussions.

Question 19

What is a computer program?

Answer 19

An electronic device that takes inputs, processes data, and delivers outputs.

It serves as the foundation for executing algorithms.

Question 20

What is an algorithm?

Answer 20

A step-by-step procedure for calculations, essential for programming.

Algorithms are the backbone of problem-solving in computing.

Question 21

What are inputs in a computer program?

Answer 21

Information supplied to the program.

Examples include numbers and user prompts.

Question 22

What are processes in the context of computer programs?

Answer 22

Operations performed on the inputs.

This includes calculations and aggregations.

Question 23

What are outputs in a computer program?

Answer 23

Results produced by the program.

Outputs can include displayed values and computed results.

Question 24

What is algorithmic thinking?

Answer 24

A method for problem-solving by identifying individual steps and creating algorithms.

It emphasizes logical reasoning and structured approaches.

Question 25

What is the initial approach to solving a word search?

Answer 25

Randomly searching for words is inefficient.

This method lacks a systematic strategy.

Question 26

What is the improved approach for solving a word search?

Answer 26

Identify the first letter of the target word and search systematically through the grid.

This strategy increases efficiency in locating words.

Question 27

What is the role of data storage in algorithmic thinking?

Answer 27

Use abstraction to determine what data is essential.

This helps in organizing and managing information effectively.

Question 28

How can nested loops be used in implementing an algorithm?

Answer 28

Use outer loop for rows and inner loop for columns.

This structure allows traversal of data grids effectively.

Question 29

What is the importance of problem-solving skills?

Answer 29

Essential for effective programming and problem-solving in various contexts.

Algorithmic thinking requires practice and logical reasoning.