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Andreas93 [3]
3 years ago
5

4. How can you select non-adjacent cells (i.e. cells that are not all together in one block)?

Computers and Technology
2 answers:
jek_recluse [69]3 years ago
4 0

Answer:

You can select non contiguous cells by holding down the Ctrl key as you select, with the mouse.

12345 [234]3 years ago
3 0

Answer:

I hope this answer is correct

Explanation:

Select Non-Adjacent Cells with Keyboard and Mouse

1.With your mouse, click the first cell you want to highlight.

2.Press and hold the Ctrl key on the keyboard.

3.Click the rest of the cells you want to highlight.

4.Once the desired cells are highlighted, release the Ctrl key.

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Problem Statement − Suppose the problem statement at hand is to contain the attrition that happens in companies worldwide. High
Tju [1.3M]

Answer:Analysis is derived from the Greek word ‘analusis’, which translates into ‘breaking up’ in English. Analysis is older than the times of great philosophers like Aristotle and Plato. As discussed in the previous section, analysis is the process of breaking down a big single entity into multiple fragments. It is a deduction where a bigger concept is broken down to smaller ones. This breaking down into smaller fragments is necessary for improved understanding.

So, how does analysis help in design thinking? During analysis, design thinkers are required to break down the problem statement into smaller parts and study each one of them separately. The different smaller components of the problem statement are to be solved one-by-one, if possible. Then, solutions are thought for each of the small problems. Brainstorming is done over each of the solutions.

Later, a feasibility check is done to include the feasible and viable solutions. The solutions that don’t stand firm on the grounds of feasibility and viability are excluded from the set of solutions to be considered.

Design thinkers are, then, encouraged to connect with the diverse ideas and examine the way each idea was composed. This process of breaking down the bigger problem statement at hand into multiple smaller problem statements and examining each as a separate entity is called analysis.

Reductionism

The underlying assumption in analysis is reductionism. Reductionism states that the reality around us can be reduced down to invisible parts. The embodiment of this principle is found in basic axioms of analytic geometry, which says “the whole is equal to the sum of its parts”. However, understanding of a system cannot be developed by analysis alone. Hence, synthesis is required following analysis.

Synthesis

Synthesis refers to the process of combining the fragmented parts into an aggregated whole. It is an activity that is done at the end of the scientific or creative inquiry. This process leads to creation of a coherent bigger entity, which is something new and fresh. How does synthesis come into picture in design thinking?

Once the design thinkers have excluded the non-feasible and non-viable solutions and have zeroed-in on the set of feasible and viable solutions, it is time for the thinkers to put together their solutions.

Out of 10 available solutions, around 2-3 solutions may need to be excluded since they may not fit into the larger picture, i.e. the actual solution. This is where synthesis helps.

The design thinkers start from a big entity called the problem statement and then end up with another bigger entity, i.e. the solution. The solution is completely different from the problem statement. During synthesis, it is ensured that the different ideas are in sync with each other and do not lead to conflicts.

Analysis + Synthesis = Design Thinking

Analysis and synthesis, thus, form the two fundamental tasks to be done in design thinking. Design thinking process starts with reductionism, where the problem statement is broken down into smaller fragments. Each fragment is brainstormed over by the team of thinkers, and the different smaller solutions are then put together to form a coherent final solution. Let us take a look at an example.

Analysis Synthesis

Case Study

Problem Statement − Suppose the problem statement at hand is to contain the attrition that happens in companies worldwide. High quality employees leave the organization, mainly after the appraisal cycle. As a result, an average company loses its valuable human resources and suffers from overhead of transferring the knowledge to a new employee. This takes time and additional human resource in the form of a trainer, which adds to the company’s costs. Devise a plan to contain attrition in the company.

Analysis − Now, let’s break down the problem statement into various constituent parts. Following are the subparts of the same problem statement, broken down to elementary levels.

The employees are not motivated anymore to work in the company.

Appraisal cycle has something to do with attrition.

Knowledge transfer is necessary for new employees.

Knowledge transfer adds to the cost of the company.

Synthesis − Now, let's start solving each problem individually. In this step, we will do synthesis. Let's look at one problem at a time and try to find a solution only for that problem statement, without thinking of other problem statements.

Explanation:

6 0
2 years ago
When an entrepreneur has three employees at a busy and growing software company, what is the primary responsibility of the entre
polet [3.4K]

To direct the employees and respond to any calls/emails regarding a problem or upgrade that should be changed/fixed. (I don't know if that's what you wanted)

4 0
3 years ago
Read 2 more answers
There are generally two ways of implementing dynamic programming solutions to problems, which have equal asymptotic time complex
san4es73 [151]

Answer:

1) Bottom-up

2) Top-down

Explanation:

In general dynamic programming is a divide and conquer strategy which can be implemented using bottom up approach or top down approach.

Bottom-up approach in dynamic programming will solve a relatively simple sub-problem first and then use the solution to build and arrive at solutions to a bigger sub-problem.

Top down approach is reversed to bottom-up approach and is also known as Memoization Method. Instead of solving a problem started from the base state sub-problem, the top down approach break a problem into a smaller problems from the top most destination state until it reaches the bottom most base state.

8 0
3 years ago
Define the terms data and information ??​
lora16 [44]

Answer:

Data is an individual unit that contains raw materials which do not carry any specific meaning. Information is a group of data that collectively carries a logical meaning. Data doesn't depend on information. Information depends on data. It is measured in bits and bytes.

5 0
2 years ago
Read 2 more answers
Provide the definition of an abstract class named DesktopComponent that contains the following:
Bess [88]

package mypackage; // Whatever package this should be in.

public abstract class DesktopComponent {

   

   private String type;

   // Alternatively you may want a final variable.

   // private final String type;

   

   public DesktopComponent(String type)

   {

       this.type = type;

   }

   

   abstract void onClick();

   

   

 

}

7 0
2 years ago
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