Algorithmic Thinking

Algorithmic thinking is the ability to solve a problem systematically by breaking it into clear, logical, and ordered steps that can be followed by a person or a computer.

For first-year engineering students, algorithmic thinking is an important foundation for  problem solving, developing algorithms, programming  and building engineering applications.

Key Ideas of Algorithmic Thinking

1. Understand the Problem
   Clearly identify what is given, what is required, and what constraints exist.
2. Break the Problem into Smaller Parts
   Divide a complex problem into simpler tasks that are easier to understand and solve.
3. Identify a Step-by-Step Solution
   Arrange the required operations in a logical sequence.
4. Use Logical Decisions
   Determine where conditions such as if–else are required.
5. Identify Repeated Operations
   Recognize tasks that need to be performed repeatedly and use loops.
6. Check the Solution
   Test the steps with different inputs to ensure that they produce the expected result.

Simple Example

Problem: Find the largest of three numbers.

Instead of immediately writing a program, use algorithmic thinking:

Step 1: Read three numbers A, B, and C
Step 2: Compare A with B and C
Step 3: If A is largest, select A
Step 4: Otherwise compare B with C
Step 5: Select the larger number
Step 6: Display the largest number

The same logical steps can then be converted into a flowchart, pseudocode, or program in any computer programming language.

In Simple Words

Algorithmic thinking means thinking like an algorithm designer: understand the problem, break it into smaller tasks, arrange the tasks logically, and develop a step-by-step procedure to obtain the solution.

It is important to note that algorithmic thinking is not just about coding. It is a way of thinking that helps engineers solve problems systematically even before writing a single line of program code.