Lecture Data structure and algorithms: Chapter 1 - Prof. Trần Thị Thanh Hải

The study of "Data Structures" and "Algorithms" forms the bedrock of computer science and is indispensable for developing efficient and robust "computer programs". This academic material provides a comprehensive introduction to these fundamental concepts, emphasizing their critical role in optimizing software performance and enhancing problem-solving capabilities. Understanding how data is organized and manipulated through various algorithmic approaches is paramount for any aspiring programmer or computer engineer, laying the groundwork for more advanced topics in "software development" and computational efficiency.

Undergraduate students in Computer Science, Computer Engineering, and related fields seeking foundational knowledge in data structures and algorithms.

This course, titled "Data Structures and Algorithms", offers a foundational curriculum designed to equip students with essential knowledge and practical skills for software development. The primary objectives include providing a basic understanding of data organization and algorithmic principles, enhancing abilities in the design, analysis, and implementation of "computer programs", and fostering abstract thinking for real-world problem-solving. The syllabus systematically covers key topics, starting with an introduction to basic data types and progressing through various "data structures" such as arrays, linked lists, stacks, queues, and "trees". It also delves into fundamental "algorithms" including recursion, "sorting", "searching", hashing, mapping, and string pattern matching. The material further explores the concept of storage structures, differentiating between internal and external storage, with a specific focus on the properties and applications of internal storage, including static and dynamic structures. Practical application is reinforced through examples like student list management and an overview of the SDLC model, demonstrating how effective organization of data and efficient algorithms are crucial across all stages of "software development" projects. The course encourages active learning, practical exercises, and project-based work, using C/C++ as implementation languages within a VSCode environment, ensuring students gain both theoretical comprehension and hands-on experience in building high-performing computational solutions.