We can define algorithmic design as a design method where the output is achieved through well-defined steps. In that sense, many human activities are algorithmic. Take, for example, baking a cake. You get the cake (output) by using a recipe (well-defined steps). Any change in the ingredients (input) or the baking process results in a different cake. We will analyze the parts of typical algorithms, and identify a strategy to build algorithmic solutions from scratch.

Regardless of its complexity, all algorithmic solutions have 3 building blocks: input, key process, and output. Note that the key process may require additional input and processes.

Throughout this course, we will organize and label the solutions to identify these three blocks clearly. We will also use consistent color coding to visually distinguish between the parts. This will help us become more comfortable with reading algorithms and quickly identify input, key processing steps, and properly collect and display output. Visual cues are important to develop fluency in algorithmic thinking.

In general, reading existing algorithmic solutions is relatively easy, but building new ones from scratch is much harder and requires a new set of skills. While it is useful to know how to read and modify existing solutions, it is essential to develop algorithmic design skills to build new solutions from scratch.