We approach everyday issues intuitively. But what should there be a systematic trustworthy method? The approach of solving problems through steps and constructing logical reasoning is an effective way of thinking; this facet of thought can be called algorithmic thinking. It is applicable way beyond coding and to problem to solution. This guide will demonstrate how you can apply this attitude to formulate problems, divide them into solvable segments, and operate successfully in complicated circumstances in life and work.
What Is Algorithmic Thinking?
The algorithmic thinking involves formulating an overall step procedure to resolve the problem. Consider it as developing a recipe. Recipe is a limited number of instructions that once followed properly will result in a given dish. The instructions are clear, sequential and definite. An algorithm also operates this way by providing a precise situation towards a solution.
A good algorithm possesses the following major characteristics:
- It is finite: It has a clear beginning and end. The process doesn't go on forever.
- It is well-defined: Each step is precise and easy to understand, leaving no room for interpretation.
- It is effective: It reliably solves the problem it was designed for.
Take a case, the morning routine is a basic algorithm. You get up (Step 1), clean your teeth (Step 2), dress (Step 3) and eat breakfast (Step 4). The steps are unique and logical in order to prepare you to the day. Although this is a simplistic example, the same can be applied in far more complicated situations.
Why Algorithmic Thinking Is a Superpower
The use of an algorithmic mentality is not only advantageous in puzzle solving. It develops the habits of mind that are useful in any profession.
Enhanced Clarity and Focus
It is not difficult to get overwhelmed when presented with a big problem of undefined size. Thinking algorithmically makes you have to dis-satisfy the challenge into smaller malleable parts. This is the process that makes you see the problem rather than a big discouraging mass as a single problem. It is possible to take it step by step, and in this case, you are not likely to lose your way.
Increased Efficiency
An effective algorithm is a blueprint to a solution. This saves you a lot of time on the unnecessary time spent on following through on steps that you have outlined first. You are able to determine the most straightforward course of action toward your purpose preventing the waste of time and resources. This can come in handy especially in the business sector where streamlining the processes can result in significant cost reductions and productivity improvement.
Greater Consistency and Reliability
The chief advantage of an algorithm is that it delivers the same answer to a question. After you have created a successful process in solving a given kind of problem, you would be able to reapply it whenever such a problem occurs. This dependability eliminates the guesses in trying to solve the problems and you will be able to obtain predictable outcomes.
Improved Decision-Making
Algorithms promote evidence-based reasoning when making decisions. You get to know how to judge alternatives by a firm range of objectives and engage in a methodic approach rather than going down to the gut. That is why, such actions result in more justified and argumentative decisions, making it less likely that errors will be made due to emotional influences or lack of information.
How to Develop Your Algorithmic Thinking Skills
An attitude toward algorithms will not automatically require a computer science background. It is one of the skills that you can master by means of being conscious of it. This is a four-step model that can be used in any issue.
Clearly Define the Problem
The initial and most important thing would be to know what exactly you are trying to solve. Where does the situation now stand, and where would we have it stand? Be as specific as possible. When a problem is imprecisely defined, the solution that will be given will be very vague and ineffective.
An illustration of a problem that can be better defined is versus saying, I want to be healthier, you could say, I would like to reduce my cholesterol by 10% in the next six months by changing my diet and exercising more. It is such a definite goal that provides you a goal to strive and some means to gauge success.
Break It Down into Smaller Steps
After a clear definition of the problem is achieved, then dissect the problem into the tiniest units possible. This is what is called decomposition. The idea is to make a list of non-challenging and easy activities that can be undertaken to ultimately result in the solution.
We can proceed with the case of health. To reduce your cholesterol, you may subdivide the problem as the following sub-tasks:
- Research heart-healthy diets.
- Create a weekly meal plan.
- Make a grocery list based on the meal plan.
- Dedicate time for meal preparation each week.
- Find a form of exercise you enjoy.
- Schedule three workout sessions per week.
- Book a follow-up appointment with your doctor.
All of these activities are much more manageable than the general objective of being healthy.
Arrange the Steps in a Logical Sequence
The other thing you need to do with your list of smaller tasks is to sequentially plan them. What needs to happen first? Does it have any steps, which are dependent on others? It is this sequence that constitutes your algorithm.
In the case of our health plan, the order may be the following:
- Research heart-healthy diets.
- Consult with a doctor or nutritionist to approve the plan.
- Create a weekly meal plan and grocery list.
- Go grocery shopping.
- Prepare meals for the week.
- Find and schedule exercise sessions.
- Follow the meal and exercise plan daily.
- Attend a follow-up appointment in six months to measure progress.
This is a ranked list that gives straight forward steps to be followed.
Test and Refine Your Algorithm
The first attempt to create an algorithm is never just right. When you have worked out your step procedures, you need to implement them. You should listen as you implement your plan to know what works and what does not. Are there any bottlenecks? Does it have some steps that are inefficient or vague?
It is possible that you find that making all of your meals on a Sunday is too much time-consuming. You can use your algorithm to improve it by adding two meal prep sessions with less duration throughout the week. Or perhaps not all of the exercises you have selected are fun, and you redefine your plan to receive a new activity. This trial and error method is critical in coming up with a solution that is effective and sustainable.
Conclusion
It is not that algorithmic thinking involves being a robot. It is all about applying an organized system to increase your inherent imagination. You can come up with solutions to any part of your life by deconstructing the challenges, strategizing the steps and optimizing your approach. Begin with a minor personal or professional issue. It may sound odd, how this structure will make a huge obstacle a set of small, straight forward tasks and become an automatic component of your problem-solving tools.
