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Module 1 – Data Structures and Algorithms Presented by Engr. Mark Guerrero ”Be a Gabrielian: We Care, your Legacy to Share” Data Structures and Algorithms taught to programmers to know how to organiz...

Module 1 – Data Structures and Algorithms Presented by Engr. Mark Guerrero ”Be a Gabrielian: We Care, your Legacy to Share” Data Structures and Algorithms taught to programmers to know how to organize data and use the most efficient data structure whenever they develop a software ”Be a Gabrielian: We Care, your Legacy to Share” Data Structures Ways of organizing and storing data so that it can be accessed and modified efficiently. Common examples include arrays, linked lists, stacks, queues, trees, and graphs ”Be a Gabrielian: We Care, your Legacy to Share” Why Learn Data Structures Efficiency Different data structures allow for efficient storage and retrieval of data. Choosing the right data structure can significantly affect the performance of a program ”Be a Gabrielian: We Care, your Legacy to Share” Why Learn Data Structures Problem Solving They provide tools to solve complex problems effectively. For example, using tree structure for hierarchical data can simplify operations compared to using a flat list ”Be a Gabrielian: We Care, your Legacy to Share” Why Learn Data Structures Memory Management Understanding data structures helps in managing memory usage more efficiently, which is crucial in resource-constrained environments ”Be a Gabrielian: We Care, your Legacy to Share” Algorithms Algorithms are step-by-step procedures or formulas for solving problems. They define the logic or methodology to process data and achieve a desired result. Examples include sorting algorithms (bubble sort, quicksort) and searching algorithms (binary search) ”Be a Gabrielian: We Care, your Legacy to Share” Why study Algorithms Performance Optimization: Algorithms can be optimized for speed and efficiency. Studying different algorithms helps in selecting or designing the most appropriate one for a given task. Complex Problem Solving: They provide systematic methods for tackling complex problems, from simple tasks like sorting data to more complex ones like pathfinding in graphs. ”Be a Gabrielian: We Care, your Legacy to Share” Why study Algorithms Foundation for Advanced Topics: Understanding basic algorithms is crucial for learning more advanced topics in computer science, such as machine learning, network design, and data analysis. ”Be a Gabrielian: We Care, your Legacy to Share” What is the Importance of Algorithms to Programming Efficiency: Good knowledge of data structures and algorithms helps in writing programs that are not only correct but also efficient in terms of time and space. Scalability: Efficient data structures and algorithms ensure that programs can handle larger inputs and scale effectively. ”Be a Gabrielian: We Care, your Legacy to Share” What is the Importance of Algorithms to Programming Problem-Solving Skills: They enhance problem-solving skills by providing various approaches to tackle programming challenges. Competitive Edge: Proficiency in these concepts is often required in technical interviews and can give a competitive edge in the job market. ”Be a Gabrielian: We Care, your Legacy to Share”

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