Applying Algorithmic Design and Data Structure Techniques

 

Newbie to Newbie - Using Algorithms and Data Structures in Structured Programming 

When I first started programming, I thought it would be pretty straightforward. But there is actually so much more to it than I thought. Terms like Algorithms and Data Structures were completely foreign to me in a programming sense, and I had no idea what they were. Throughout my learning, I have learned that these terms are the cornerstone of writing good and organized code. I asked a friend of mine who is a software developer about the terms Algorithms and Data Structures so I could try to wrap my head around that concept; he said that essentially, Algorithms are the plan and Data Structures are the tools you use to do it.

Defining Algorithms and Data Structures

Algorithms are essentially instructions for solving a problem. A very common example of an algorithm is a recipe. It tells you exactly what to do and in what order, much like how in programming it tells the program what to do.

Data Structures are how you organize and store data so your program can use it efficiently. Arrays, linked lists, stacks, queues, and trees are all examples of Data Structures in programming. You can add to the recipe example by saying that a list (Data Structure) acts as a cookbook and stores the recipe (Algorithm).

How do you Apply These in Structured Programming?

When developing a structured program, it is paramount that your code is clear, logical, and easy to maintain. Mistakes can happen both within the program and from other developers who also work on the same code when the code is sloppy or jumbled.

1. Break the Problem Into Steps

The first step is to design the algorithm you wish to use.

  • What is the input?
  • What should the output be?
  • What steps are needed to get there?

This is similar to writing an outline before writing an English paper. It just helps you plan your approach to the code.

2. Choose the Right Data Structure

The expression "use the right tool for the job" fits this step very well. There are times when multiple Data Structures will work; you must choose the one that works best for the needs of the project.

  • Use an array/list when you need quick access by index.
  • Use a linked list when you need frequent insertions/removals.
  • Use a stack for last-in, first-out behavior (like undo features).
  • Use a queue for first-in, first-out tasks (like processing requests).
  • Use a tree when working with hierarchical data (like file systems).

3. Implement Using Structured Design

Structured programming focuses on:

  • Clear control flow (loops, conditionals)
  • Modular code (functions/methods)
  • Avoiding unnecessary complexity (going over the top with extra code that does not need to be there)

The Algorithm that you design becomes the functions in the code, and your Data Structure stores the data that those functions operate on.

Are Some Algorithms and Data Structures Better Than Others?

The short answer: Yes. However, the situation will dictate which ones are better for the project specifically.

There is no magic Algorithm that will solve every problem. Some are better for several reasons, whether they are:

  • Faster (Time Efficiency)
    Example: Binary search is faster than linear search (only if the data is sorted)
  • More Memory Efficient (Space Efficiency)
    Some data structures use less memory but may be slower.
  • Easier to Maintain and Read
    Sometimes a slightly slower algorithm is better if it makes the code easier to understand. This is important if you ever have to go back to the code later.

How to Choose the Right Approach for You

  • If you need to search frequently, a sorted structure with binary search is better than an unsorted list.
  • If you constantly add/remove items, a linked list may be better than an array.
  • If you need fast lookups, a hash-based structure (like a hashmap) is often best.

There is no best choice; it is all about the needs of your program and what takes priority over it: speed, memory, or simplicity. Narrowing down on which of these is most important for your project will help you find the best way to implement them into your code.

How I Would Apply These Concepts

When I develop a program, I follow this general process:

  1. Understand the problem fully (know what the end result must be)
  2. Write out the algorithm in plain English (like an outline)
  3. Choose a data structure based on how the data will be used
  4. Break the program into functions
  5. Test and refine for efficiency and readability

For example, if I were building a program to manage a to-do list:

  • I might use an array or a list to store all the tasks (like a cookbook)
  • Use a loop or search algorithm to find a specific task (searching for a recipe)
  • Organize the code into functions like addTask(), removeTask(), and markTaskComplete()

Closing Remarks

Learning algorithms and data structures is inherently confusing at first. There are many things I still do not understand. Even from the basics that I have learned already, I know that this is one of the most important steps in becoming a better programmer. Data Structures and Algorithms help you to:

  • Write faster and more efficient programs
  • Keep your code organized and readable
  • Solve problems more effectively
They are very important tools for you to keep in your toolbox as an aspiring programmer.

Comments

Post a Comment

Popular Posts

Operating Systems Theory and Design Final

Image
                                                        F eatures of Contemporary Operating Systems          Operating systems are built  to act as an interface between the software and hardware in a computer system. The very core of an  operating system is known as the kernel. It  operates  behind the scenes managing processes, memory, files, and input/output devic es. The kernel  operates  in a privilege mode that is separate from the user mode.  This  prevents  the user o r any applications from directly accessing  hardware  which can cause major problems.  Most modern operating systems are modular and use various smaller systems to manage all the resources and software a computer uses . Resource allocation is an important part of what ...
Read more

Java Installation and OOP Basics

  Installing Java: Some helpful tips for installing Java. Use  https://www.oracle.com/java/technologies/downloads/ to install the Java software and get started. This link provides a tutorial to help guide you along the Java installation process.  https://docs.oracle.com/javase/tutorial/index.html You will also need an IDE (Integrated Development Environment) before you can start coding. This is essentially where you write the program. I use Visual Studio Code, it is very beginner friendly and allows for extensions to make coding much quicker and easier.  https://code.visualstudio.com/download Hello World! One of the first programs most programmers create when learning a new language is the "Hello World" program. It is a simple program that simply prints "Hello World!". Since every language is different, the Hello World program allows new learners of a language to see how the same program looks in different programming languages. For example, in Python it looks like:...
Read more

Post #7 E-commerce Sites

Introduction              Many people use e-commerce websites frequently , without knowing how they truly work. But before we can dive into how e-commerce sites work, we first need to learn what they are. E -commerce, standing for electronic commerce, is the process of customers shopping online and processing their payment. (Hirz, 2025). Essentially, e-commerce is just online shopping, and an e-commerce site is how shoppers buy goods online. A well known example of an e-commerce site is Amazon.com. People search for what they want to buy, add it to their virtual cart , pay using a payment method, and then the site will deliver the item to the customer in a set amount of days. What many people do not know is just how these e-commerce sites work and how much programming goes into building a f unctioning e-commerce site. From front end development, back end development, database management, and all the programming that connects them all tog...
Read more