2.1 Notes Flashcards
What is abstraction in computational thinking?
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.
What is user-centric design in computational thinking?
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.
What role does iconography play in computational thinking?
Icons symbolize actions without needing realistic detail, aiding quick recognition.
This helps users understand commands or functions quickly.
How does data representation function in computational thinking?
Structures abstract data for easier algorithm development, focusing on connections over visuals.
It allows programmers to work with data logically rather than visually.
What are visual algorithms?
Flowcharts abstract complex algorithms, making them understandable.
They provide a visual representation of the logic flow in algorithms.
What is hidden complexity in programming?
Programmers use abstract variables, focusing on logic without hardware details.
This allows programmers to work at a higher level without worrying about underlying complexities.
What is decomposition in computational thinking?
Breaks complex problems into manageable parts.
Key aspects include programming skill, real-world examples, game development, teamwork, reusability, and creativity.
Why is programming skill important in decomposition?
Essential for creating clear algorithms and managing large projects.
It helps in organizing thoughts and tasks effectively.
How do real-world examples illustrate decomposition?
Daily tasks (e.g., crossing the road) show natural decomposition.
These examples help learners relate computational concepts to everyday actions.
How does game development benefit from decomposition?
Breaking down a game into tasks makes it manageable, speeds up development, and reduces costs.
This method enhances project efficiency and quality.
What is the advantage of teamwork in decomposition?
Dividing tasks allows specialists to work concurrently, improving efficiency and quality.
Collaboration fosters innovation and faster problem-solving.
What is reusability in the context of decomposition?
Decomposed parts can be reused in future projects, enhancing efficiency.
This reduces redundancy and saves time in project development.
How does decomposition foster creativity?
Enables focus on refining components, driving innovation.
It allows for experimentation and improvement of individual parts.
What are structure diagrams used for?
Visual tool to break down complex problems into smaller tasks, aiding stepwise programming.
They facilitate understanding and communication among developers.
What does stepwise refinement entail?
Iterative breakdown of tasks ensures no details are missed.
This method promotes thoroughness in problem-solving.
What is the importance of adaptability in structure diagrams?
Different tasks require varying breakdown levels, fitting each program segment’s needs.
This ensures that the diagram is relevant and useful.
What is the focus of each lowest-level node in structure diagrams?
Each lowest-level node has a specific goal, simplifying coding.
This clarity aids developers in implementing solutions effectively.
How do structure diagrams assist in collaboration?
Assists communication among developers and stakeholders.
They provide a common visual reference for project discussions.
What is a computer program?
An electronic device that takes inputs, processes data, and delivers outputs.
It serves as the foundation for executing algorithms.
What is an algorithm?
A step-by-step procedure for calculations, essential for programming.
Algorithms are the backbone of problem-solving in computing.
What are inputs in a computer program?
Information supplied to the program.
Examples include numbers and user prompts.
What are processes in the context of computer programs?
Operations performed on the inputs.
This includes calculations and aggregations.
What are outputs in a computer program?
Results produced by the program.
Outputs can include displayed values and computed results.
What is algorithmic thinking?
A method for problem-solving by identifying individual steps and creating algorithms.
It emphasizes logical reasoning and structured approaches.
What is the initial approach to solving a word search?
Randomly searching for words is inefficient.
This method lacks a systematic strategy.
What is the improved approach for solving a word search?
Identify the first letter of the target word and search systematically through the grid.
This strategy increases efficiency in locating words.
What is the role of data storage in algorithmic thinking?
Use abstraction to determine what data is essential.
This helps in organizing and managing information effectively.
How can nested loops be used in implementing an algorithm?
Use outer loop for rows and inner loop for columns.
This structure allows traversal of data grids effectively.
What is the importance of problem-solving skills?
Essential for effective programming and problem-solving in various contexts.
Algorithmic thinking requires practice and logical reasoning.
