Introduction to Computer
Science Chapter 2
(Computational Thinking)(404
questions and Answers)
Polya's How to Solve It
Classic guide on problem-solving methods.
Problem-Solving Process
Steps to find solutions to problems.
Ask Questions
Clarify tasks by inquiring about details.
Familiar Situations
Use previous solutions for similar problems.
Divide and Conquer
Break large problems into manageable subtasks.
Abstraction
Simplifying complex problems into basic components.
Algorithm
A step-by-step procedure for solving problems.
Connection Finding
Linking information to solutions is crucial.
Task Specification
Defining what needs to be done clearly.
Subtask
A smaller, manageable part of a larger task.
Problem Recognition
Identifying problems based on past experiences.
,Solution Plan
A structured approach to reach a solution.
Computing Problems
Common issues encountered in programming tasks.
Daily High and Low
Finding extremes in a dataset, like temperatures.
Cleaning Example
Illustrates dividing tasks into smaller units.
Task Management
Organizing tasks for efficient problem-solving.
Successful Solution
Reapplying effective methods to new problems.
Written Instructions
Tasks specified in text requiring clarification.
Sub-subtasks
Further division of subtasks into smaller actions.
Problem Context
Understanding the situation surrounding a problem.
Recognizing Patterns
Identifying similarities in problems for solutions.
Polya's Strategies
Techniques for effective problem-solving.
Problem Solving in Computing
Applying strategies to programming challenges.
Algorithm
Set of instructions for solving a problem.
Finite time
Limited duration to complete a task.
Unambiguous instructions
Clear and precise directions in a process.
,Polya's first step
Understand the problem before attempting to solve.
Polya's second step
Devise a plan for solving the problem.
Polya's third step
Carry out the plan and test the solution.
Polya's fourth step
Examine the solution for future applicability.
George Polya
Hungarian mathematician known for problem-solving strategies.
PhD in mathematics
Advanced degree obtained by Polya in 1912.
How to Solve It
Polya's influential book on problem-solving strategies.
Combinatorial theory
Mathematical study of counting and arrangements.
George Polya Prize
Award for notable contributions to combinatorial theory.
Mathematics education
Field Polya contributed to significantly.
University of Budapest
Where Polya began his higher education.
Stanford University
Polya's final teaching institution in the U.S.
Political situation in Germany
Reason Polya emigrated to the United States.
Teaching certificate
Credential Polya earned but never used.
Mathematics and Plausible Reasoning
Another book by Polya on mathematics education.
, Bay Area schools
Locations where Polya actively promoted mathematics teaching.
Number theory
One of Polya's research areas in mathematics.
Integral functions
Mathematical functions studied by Polya.
Boundary value problems
Type of mathematical problem Polya researched.
Combinatorics
Branch of mathematics focused on counting.
Probability
Mathematical study of chance and uncertainty.
Analysis and Specification Phase
First phase; outputs a problem statement.
Algorithm Development Phase
Second phase; outputs a general solution plan.
Implementation Phase
Third phase; creates a working computer program.
Maintenance Phase
Fourth phase; handles errors or changes.
Pseudocode
High-level description of an algorithm.
Polya's Problem-Solving Steps
Framework for understanding and solving problems.
Main Module
List of main tasks in algorithm design.
Control Structures
Logical constructs to manage program flow.
Task Names
Identifiers for functional areas in a problem.
Science Chapter 2
(Computational Thinking)(404
questions and Answers)
Polya's How to Solve It
Classic guide on problem-solving methods.
Problem-Solving Process
Steps to find solutions to problems.
Ask Questions
Clarify tasks by inquiring about details.
Familiar Situations
Use previous solutions for similar problems.
Divide and Conquer
Break large problems into manageable subtasks.
Abstraction
Simplifying complex problems into basic components.
Algorithm
A step-by-step procedure for solving problems.
Connection Finding
Linking information to solutions is crucial.
Task Specification
Defining what needs to be done clearly.
Subtask
A smaller, manageable part of a larger task.
Problem Recognition
Identifying problems based on past experiences.
,Solution Plan
A structured approach to reach a solution.
Computing Problems
Common issues encountered in programming tasks.
Daily High and Low
Finding extremes in a dataset, like temperatures.
Cleaning Example
Illustrates dividing tasks into smaller units.
Task Management
Organizing tasks for efficient problem-solving.
Successful Solution
Reapplying effective methods to new problems.
Written Instructions
Tasks specified in text requiring clarification.
Sub-subtasks
Further division of subtasks into smaller actions.
Problem Context
Understanding the situation surrounding a problem.
Recognizing Patterns
Identifying similarities in problems for solutions.
Polya's Strategies
Techniques for effective problem-solving.
Problem Solving in Computing
Applying strategies to programming challenges.
Algorithm
Set of instructions for solving a problem.
Finite time
Limited duration to complete a task.
Unambiguous instructions
Clear and precise directions in a process.
,Polya's first step
Understand the problem before attempting to solve.
Polya's second step
Devise a plan for solving the problem.
Polya's third step
Carry out the plan and test the solution.
Polya's fourth step
Examine the solution for future applicability.
George Polya
Hungarian mathematician known for problem-solving strategies.
PhD in mathematics
Advanced degree obtained by Polya in 1912.
How to Solve It
Polya's influential book on problem-solving strategies.
Combinatorial theory
Mathematical study of counting and arrangements.
George Polya Prize
Award for notable contributions to combinatorial theory.
Mathematics education
Field Polya contributed to significantly.
University of Budapest
Where Polya began his higher education.
Stanford University
Polya's final teaching institution in the U.S.
Political situation in Germany
Reason Polya emigrated to the United States.
Teaching certificate
Credential Polya earned but never used.
Mathematics and Plausible Reasoning
Another book by Polya on mathematics education.
, Bay Area schools
Locations where Polya actively promoted mathematics teaching.
Number theory
One of Polya's research areas in mathematics.
Integral functions
Mathematical functions studied by Polya.
Boundary value problems
Type of mathematical problem Polya researched.
Combinatorics
Branch of mathematics focused on counting.
Probability
Mathematical study of chance and uncertainty.
Analysis and Specification Phase
First phase; outputs a problem statement.
Algorithm Development Phase
Second phase; outputs a general solution plan.
Implementation Phase
Third phase; creates a working computer program.
Maintenance Phase
Fourth phase; handles errors or changes.
Pseudocode
High-level description of an algorithm.
Polya's Problem-Solving Steps
Framework for understanding and solving problems.
Main Module
List of main tasks in algorithm design.
Control Structures
Logical constructs to manage program flow.
Task Names
Identifiers for functional areas in a problem.
