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Define Computational thinking.
Define Computational thinking.
Computational thinking is a problem-solving approach using a computer that formulates a problem and its solution to be effectively executed by a computer.
State the computational thinking skills. (Select all that apply)
State the computational thinking skills. (Select all that apply)
List the core concepts of CT.
List the core concepts of CT.
The core concepts of CT are decomposition, abstraction, pattern recognition, and algorithmic thinking.
What is the goal of the "Design thinking model"?
What is the goal of the "Design thinking model"?
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Which of the following is NOT a key advantage of developing computational thinking skills?
Which of the following is NOT a key advantage of developing computational thinking skills?
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Computational thinking skills can only be used in the field of computer science.
Computational thinking skills can only be used in the field of computer science.
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Describe the computational thinking pillar "Decomposition".
Describe the computational thinking pillar "Decomposition".
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Describe the computational thinking pillar "Abstraction".
Describe the computational thinking pillar "Abstraction".
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Describe the computational thinking pillar "Pattern recognition".
Describe the computational thinking pillar "Pattern recognition".
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Describe the computational thinking pillar "Algorithmic thinking".
Describe the computational thinking pillar "Algorithmic thinking".
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What is an algorithm?
What is an algorithm?
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What are the two common ways of representing algorithms?
What are the two common ways of representing algorithms?
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An algorithm must always have a finite number of steps.
An algorithm must always have a finite number of steps.
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An algorithm can only have one input.
An algorithm can only have one input.
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An algorithm should always have a single output.
An algorithm should always have a single output.
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Each step in an algorithm must be clear and unambiguous.
Each step in an algorithm must be clear and unambiguous.
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An algorithm may contain steps that cannot be executed in a finite amount of time.
An algorithm may contain steps that cannot be executed in a finite amount of time.
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What is a guideline for developing an algorithm?
What is a guideline for developing an algorithm?
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What are some common statements for inputting data into an algorithm?
What are some common statements for inputting data into an algorithm?
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What are some common statements for outputting data from an algorithm?
What are some common statements for outputting data from an algorithm?
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What are some common statements for performing mathematical calculations within an algorithm?
What are some common statements for performing mathematical calculations within an algorithm?
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What is an advantage of using algorithms?
What is an advantage of using algorithms?
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Write an algorithm to calculate the volume of a sphere using the formula: v = (4/3) pir³ where pi is equal to 3.1416.
Write an algorithm to calculate the volume of a sphere using the formula: v = (4/3) pir³ where pi is equal to 3.1416.
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Write an algorithm to convert Celsius degrees to Fahrenheit degrees using the formula: F = (9/5) *C+32.
Write an algorithm to convert Celsius degrees to Fahrenheit degrees using the formula: F = (9/5) *C+32.
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Write an algorithm to find the greater number between two numbers A and B.
Write an algorithm to find the greater number between two numbers A and B.
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Write an algorithm to find the average of three temperatures T1, T2, and T3.
Write an algorithm to find the average of three temperatures T1, T2, and T3.
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Write an algorithm to calculate even numbers between 0 and 99.
Write an algorithm to calculate even numbers between 0 and 99.
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Write an algorithm to compute the radius of a circle. Derive your formula from the given equation: $A = πr²$, then display the output.
Write an algorithm to compute the radius of a circle. Derive your formula from the given equation: $A = πr²$, then display the output.
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Write an algorithm that takes as input the purchase price of an item (P), its expected number of years of service (Y) and its expected salvage value (S). Then outputs the yearly depreciation for the item (D). Use the formula: $D = (P – S) / Y$.
Write an algorithm that takes as input the purchase price of an item (P), its expected number of years of service (Y) and its expected salvage value (S). Then outputs the yearly depreciation for the item (D). Use the formula: $D = (P – S) / Y$.
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Design an algorithm to find the circumference of a circle. Use the formula: $C = 2πr$, where $π$ is approximately equivalent to 3.1416.
Design an algorithm to find the circumference of a circle. Use the formula: $C = 2πr$, where $π$ is approximately equivalent to 3.1416.
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Write an algorithm that converts an input inch(es) into its equivalent centimeters. Take note that one inch is equivalent to 2.54cms.
Write an algorithm that converts an input inch(es) into its equivalent centimeters. Take note that one inch is equivalent to 2.54cms.
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Write an algorithm that converts the input dollar to its peso exchange rate equivalent. Assume that the present exchange rate is 51.50 pesos against the dollar. Then display the peso equivalent exchange rate.
Write an algorithm that converts the input dollar to its peso exchange rate equivalent. Assume that the present exchange rate is 51.50 pesos against the dollar. Then display the peso equivalent exchange rate.
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Study Notes
Computational Thinking
- Computational thinking (CT) is a problem-solving approach that uses a computer to formulate a problem and its solution for effective execution.
- CT aims to provide a solution ready to be programmed into a computer.
Lecture Objectives
- Define computational thinking.
- List computational thinking skills:
- Decomposition
- Abstraction
- Pattern recognition
- Algorithmic thinking
- Describe an algorithm for some practical problems.
Computational Thinking Skills
-
Decomposition: Breaking down complex problems into smaller, manageable parts. This simplifies solution for a computer.
-
Abstraction: Focusing on essential information and ignoring irrelevant details, allowing simplification of complex problems.
- Finding the main points, while neglecting unnecessary data
- One object or word replacing multiple objects or complex actions
- Models and simulations are abstractions too.
-
Pattern Recognition: Identifying patterns in data and processes, to describe and represent sequences accurately.
- Example: Identifying patterns in number sequences (1, 4, 7, 10,...)
- Recognising shapes, sounds, or images as common patterns.
-
Algorithmic Thinking: Creating step-by-step instructions (algorithms) to solve problems accurately.
- Algorithms must be unambiguous, have a finite number of steps, defined input and output, and must be effective.
- Algorithm representation using Pseudocode (textual) or flowchart (graphical).
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Logical Reasoning: Encouraging individuals to analyse problems thoroughly, identify cause-and-effect relationships and use logic to reach the appropriate solution.
Advantages of Developing Computational Thinking Skills
- Problem-solving skills: Structured approach to solving complex problems by breaking them down into smaller parts; identify patterns.
- Logical reasoning: Encourage analyzing problems and identifying cause-and-effect relationships.
- Creativity and innovation: Encouraging generating innovative solutions.
- Data analysis and interpretation: Understanding how to collect, organize, and analyze data.
- Algorithmic thinking: Ability to design and implement algorithms for problem-solving.
- Collaboration and teamwork: Working collaboratively on problem-solving tasks.
- Transferable skills: Enhancement of critical thinking, problem-solving, and analytical skills in diverse fields like business, healthcare, and finance.
Design Thinking Model
- A solution creation method based on understanding audience's needs; empathizing with the situation.
- Iterative process including:
- Empathize: Learn about the problem.
- Define: Identify objectives and actions needed.
- Ideate: Brainstorm ideas.
- Prototype: Design the solution and check it often.
- Test: Check the solution and adjust as required.
Office Lunch Algorithm
-
Problem: Determining the final cost of an office lunch.
- Two options: 8.50forsandwich,8.50 for sandwich, 8.50forsandwich,7.95 for salad
- Equation: Cost = 8.5 * No. of sandwiches + 7.95 * No. of salads
- Example Data: 12 sandwiches, 23 salads, Total cost = $284.85
Examples of Algorithms
-
Adding Two Numbers:
- Start
- Input two numbers (a and b)
- Calculate sum = a + b
- Display sum
- Stop
-
Simple Interest:
- Start
- Input principle, time, rate
- Calculate interest = principal * time * rate / 100
- Display interest
- Stop
-
Calculate the Volume of a Sphere:
- Start
- Input radius (r)
- Calculate volume = (4/3) * 3.1416 * radius^3
- Display volume
- Stop
-
Converting Celsius to Fahrenheit:-Start
- Input Celsius (C)
- Calculate Fahrenheit (F) = (9/5) * C + 32
- Display Fahrenheit
- Stop
-
Finding the Greater Number:-Start -Input two numbers (A and B) -Check if A > B -If true, display A (as the greater number) -Else display B
- Stop
-
Calculate Average Temperature:-Start -Input temperatures T1, T2, and T3 -Calculate average = (T1 + T2 + T3) / 3 -Display average -Stop
Questions (from the provided slides)
- Different questions are about computing radius of a circle, economic order quantity, depreciation of items, and conversions (inches to centimeters, dollars to pesos).
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Description
This quiz explores the essential skills of computational thinking such as decomposition, abstraction, pattern recognition, and algorithmic thinking. You'll learn to break down complex problems and focus on vital elements for effective problem-solving in programming. Perfect for anyone looking to enhance their computational thinking abilities.