Algorithms and Data Structures 1 is a practical work module for the first semester of the first year. It provides a foundational introduction to algorithms and data structures, essential for any computer science learner. This module emphasizes understanding and applying algorithms, as well as designing and manipulating basic data structures.
The aim is to familiarize learners with the fundamental principles of algorithms and data structures, equipping them with the skills necessary to solve computer science problems effectively.
The Algorithms and Data Structures 1 practical work is divided into six learning units, each designed to reinforce theoretical knowledge through hands-on activities and projects:
1. Introduction to Code::Blocks : The first chapter explores the Code::Blocks programming tool, covering its download and installation.
2. Algorithm and Program Design in C : The second chapter focuses on designing algorithms and programs to solve various problems using basic instructions, such as assignment, reading, writing, and working with variables, constants, and data types.
3. Conditional Structures and Branching : The third chapter covers simple, compound, and multiple-choice conditional structures, as well as branching mechanisms.
4. Control Structures (Loops) : The fourth chapter provides practice in using control structures, including for, while, repeat, and nested loops.
5. Arrays and Character Strings : The fifth chapter introduces the creation and manipulation of arrays and character strings, highlighting their practical applications.
6. Custom Types : The final chapter examines custom types, guiding learners in constructing enumerations and records.
This practical work serves as a cornerstone for computer science learners, enabling them to build solid skills in algorithms and data structures. These competencies are critical for academic progression and professional success in fields requiring expertise in software design and optimization.
By completing this module, you will gain a thorough understanding of algorithms and data structures, preparing you to tackle advanced topics in future courses.
Sans titre.png- Dr.: Sara REKKAL