Q1: What is the major difference in solving simple problems and complex problems?

Answer:

Simple problems can usually be solved with straightforward solutions and don't need to be broken down into smaller parts. In contrast, complex problems are multifaceted and require being decomposed into simpler components, involve multiple variables, and often need an iterative process to solve them.

Q2: Why software designers prefer to use IPO charts?

Answer:

Software designers prefer IPO charts because they clearly define the inputs, processes, and outputs of a system. This clarity helps them understand how data moves through an application and simplifies the design and troubleshooting stages of software development.

Q3: Differentiate between Computational thinking and Logical thinking.

Answer:

Computational thinking is a method of solving problems in a way that a computer can assist, and it involves techniques like decomposition, pattern recognition, abstraction, and algorithm design. Logical thinking, on the other hand, is a step-by-step process of deducing solutions based on reasoning.

Q4: Write four properties of Computational thinking.

Answer:

The four properties of Computational thinking are:

• Decomposition: Breaking down complex problems into smaller, more manageable parts.
• Pattern Recognition: Finding patterns and trends that can help simplify the problem-solving process.
• Abstraction: Focusing on only the important information and ignoring irrelevant details.
• Algorithm Design: Creating a step-by-step solution for a problem.

Q5: What are the methods used to design a solution?

Answer:

Common methods for designing a solution include: brainstorming to generate ideas; using flowcharts to visually map out processes; creating prototypes to test how system elements interact; and writing pseudocode to outline the functionality before writing the actual code.

Q6: Which Computational thinking technique breaks down the problem into smaller parts?

Answer:

Decomposition is the computational thinking technique used to break a problem into smaller, more manageable parts, which makes complex problems easier to solve.

Q7: Identify 3 computing problems from other subjects that you are studying in your class.

Answer:

Three examples of computing problems from other subjects are: calculating complex equations in math using computational simulations, modeling ecological systems in science to predict changes over time, and analyzing large datasets in history to identify trends.

Q8: Why do we need to think computationally?

Answer:

We need to think computationally because it provides individuals with the skills to tackle large problems, think logically, and think algorithmically. This enhances problem-solving abilities, which are crucial for both academic and real-world situations.

Q9: The telephone numbers usually have 9 digits. Out of these 9, the first two digits represent the area code and remain constant within a given area. The last 7 digits represent the number, and it cannot begin with 0. How many different telephone numbers are possible with a given area code?

Answer:

The first two digits (the area code) are fixed, so there is only one choice for them. For the last seven digits, the first digit cannot be 0, leaving 9 possible choices (digits 1-9). The remaining six digits can be any of the 10 digits (0-9). To find the total number of possible telephone numbers, you multiply the number of choices for each digit: 9 (for the first variable digit) × 10 (for the second) × 10 (for the third) × 10 (for the fourth) × 10 (for the fifth) × 10 (for the sixth) × 10 (for the seventh). This is calculated as 9 × 10^6, which equals 9,000,000. Therefore, there are 9,000,000 different telephone numbers possible with a given area code.

Q10: From city A to city B, there are 4 different roads and from city B to city C there are 2 different roads. Draw a map of given situation and identify how many possible routes are there that someone can follow to reach from city A to city C passing by city B.

Answer:

There are 4 roads from City A to City B and 2 roads from City B to City C. To find the total number of possible routes from City A to City C via City B, you multiply the number of roads for each segment: 4 × 2 = 8 routes.