Overview
Perform basic operations by building Linear Linked List., Construct different linear and non-linear data structures using array and linked representations and use them in appropriate applications., Use and compare different searching., Understand the Stacks and Queues operations and apply for different applications., Understand the important of trees and graphs.
all the engineering graduate students., all the graduating students
basic knowledge of any programming language., basic knowlege of algorithms
Fundamentals of Data Structures: An Algorithmic Approach offers engineering students a comprehensive understanding of how data can be efficiently organized, stored, and processed to solve computational problems. The course begins by introducing the importance of selecting appropriate data structures and the role they play in designing effective algorithms. Students explore a wide range of linear and non-linear structures, including arrays, linked lists, stacks, queues, trees, heaps, and graphs. Each structure is examined in terms of its properties, operations, applications, and performance characteristics.
A major focus of the course is helping students understand how algorithms interact with these data structures. Through detailed explanations, visual demonstrations, and animated representations, students learn to trace the flow of algorithms such as searching, sorting, traversing, and manipulating data. Special emphasis is placed on analyzing time and space complexity using asymptotic notation, enabling learners to evaluate the efficiency of different algorithmic approaches.
The course is particularly supportive for students who may find coding difficult or struggle to visualize algorithmic steps. By using animations and simplified representations, the course builds intuition and confidence in algorithmic thinking. As students progress, they gradually develop strong problem-solving abilities and the capability to choose the most suitable data structure for a given task.
By the end of the course, learners are well-prepared to design robust data-handling mechanisms, optimize computational processes, and apply algorithmic reasoning to a variety of real-world engineering challenges. This foundational knowledge serves as a stepping stone for more advanced subjects in computer science and software development.
Lendale Venkateswarlu
Dr. Lendale Venkateswarlu is a distinguished academician and researcher in the field of Computer Science and Engineering, with over 29 years of teaching and research experience. He is currently serving as a Professor in the Department of Computer Science and Engineering at Geethanjali College of Engineering and Technology (GCET), Hyderabad.
Dr. Venkateswarlu earned his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Anantapur (JNTUA) in 2019.
Throughout his career, Dr. Venkateswarlu has been passionate about fostering excellence in computer education and mentoring students in core computing subjects such as Data Structures, Algorithms, Competitive Programming, C, C++, Java, Neural Networks, Artificial Intelligence, and Operating Systems. He has organized and conducted several national-level coding contests on the HackerRank platform, encouraging students to engage in problem-solving and algorithmic thinking.
His research contributions span multiple domains, including digital watermarking, medical image processing, artificial intelligence, machine learning, IoT, cybersecurity, and sustainable computing. Dr. Venkateswarlu has authored and co-authored several peer-reviewed research papers in reputed SCOPUS-indexed and international journals, such as HELIX International Journal, TURCOMAT, E3S Web of Conferences, and IJCESEN. His recent works focus on bio-inspired optimization, LSTM-based disease detection models, and secure IoT architectures using blockchain and deep learning.
Dr. Venkateswarlu also holds multiple Indian patents, including innovations in object path detection, genetic algorithms for noise optimization, and reversible double watermarking techniques for medical images. His commitment to continuous learning is reflected in his participation in national workshops on AI & ML using Python, R Programming, and Data Analytics, organized by prestigious institutions such as NIT Warangal.
A dedicated teacher, researcher, and innovator, Dr. Lendale Venkateswarlu continues to inspire students and contribute significantly to the advancement of computer science education and research in India.