Computer Science Tutorials — Algorithms, Data Structures, OOP and Programming Styles

Flat illustration of four computer science discipline cards showing algorithms sorting chart data structures tree OOP class diagram and programming styles lambda symbol connected in blue and white

Computer science is the intellectual foundation beneath every line of code you write. While programming teaches you how to instruct a computer, computer science teaches you why certain approaches work better than others — why one algorithm processes a million records in seconds while another takes hours, why the right data structure makes the difference between elegant and unworkable code, and why the principles of object-oriented design produce software that survives contact with the real world.

MYCPLUS has been publishing computer science tutorials and practical programming guides since 2004, building a comprehensive resource covering the core theoretical and applied topics that every serious programmer needs to understand. This Computer Science hub brings together four interconnected areas of study — Algorithms, Data Structures, Object-Oriented Programming and Programming Styles — each with its own dedicated section of in-depth tutorials, practical examples and working source code.

Tis section gives you the theoretical understanding and hands-on programming experience to write better software, solve harder problems and think more clearly about how programs work. Whether you are studying for exams, preparing for technical interviews or simply becoming a stronger programmer — start here.

What You’ll Learn

  • Algorithms — sorting, searching, graph traversal, dynamic programming and optimisation techniques with working C implementations and complexity analysis for real-world problem solving
  • Data structures — arrays, linked lists, stacks, queues, trees, hash tables and graphs with practical C and C++ source code examples and guidance on choosing the right structure for every problem
  • Object-oriented programming — the complete OOP model including encapsulation, inheritance, polymorphism and abstraction with practical examples across C++, Java and C# for real-world software design
  • Programming styles and paradigms — procedural, object-oriented, functional and declarative programming approaches with examples showing how modern developers apply multiple paradigms in professional codebases
  • Algorithm complexity and analysis — understanding Big O notation, time and space complexity, best and worst case analysis and applying complexity thinking to write more efficient everyday code
  • Applied computer science — bridging theory and practice by applying computer science principles to real programming problems in C, C++ and Java with source code you can study and build on immediately

Explore the four core areas covered in this section:

Algorithms — sorting, searching, graph traversal and optimisation
Data Structures — arrays, linked lists, trees, stacks and graphs
Object-Oriented Programming — classes, inheritance and polymorphism
Programming Styles — procedural, functional and declarative paradigms

Why MYCPLUS: Trusted by programmers and computer science students since 2004 — MYCPLUS covers all four core computer science disciplines in one place, with practical implementations in C, C++ and Java designed for both academic study and real-world software development.

Various Sorting Algorithms

Sort Huge amount of data using C Programming Language

The big sort routine implements a way to sort huge amounts of data using C programming language. It sorts the data that do not fit into main memory by using a multi-phase sorting on files. It is a implementation from the book “Algorithms and data structures” by Niklaus Wirth. Additionally, this routine recognizes small amounts of data that do fit into memory and resorts to a in-place quicksort.

c-algorithms-library

C Algorithms Library

This article is about a collection of common Computer Science algorithms which may be used in C projects. The C Programming Language has a much smaller Standard Library as compared to other more modern programming languages such as Java or Python. The library provides a basic set of mathematical functions, string manipulation, type conversions, and file and console-based I/O.

Data Structures and Algorithm Analysis in Java

Data Structures and Algorithm Analysis in Java

Delve into the fundamentals of data structures and algorithms with Data Structures and Algorithm Analysis in Java. This comprehensive guide focuses on performance optimization, scalability, and real-world Java implementations. From sorting to dynamic programming, it equips developers with the tools to build efficient, high-performance applications. A must-read for students and professionals seeking to master Java’s capabilities in solving complex computational problems.

Programming Coding

Indian Hill C Coding Styles and Standards

This document is a result of a committee formed at Indian Hill to establish a common set of coding standards and recommendations for the Indian Hill community. The scope of this work is the coding style, not the functional organization of programs. The standards in this document are not specific to ESS programming only.

Scroll to Top