"Deep Dive into Sorting Algorithms" offers a comprehensive exploration of sorting techniques, focusing on theoretical understanding, implementation, and algorithmic analysis. This course provides a structured journey through the landscape of sorting algorithms, catering to both beginners and those seeking to deepen their knowledge.
The curriculum begins with an examination of fundamental sorting algorithms like Bubble Sort, Insertion Sort, Quick Sort and Merge Sort. Students will dissect these algorithms, studying their mechanics and analyzing their time complexities. Building on this foundation, the course progresses to more advanced techniques, including Divide and Conquer algorithms such as Merge Sort and Quick Sort. Through detailed explanations and algorithmic analysis, students will gain insight into the efficiency and trade-offs of these methods.
Throughout the course, emphasis is placed on understanding algorithmic principles rather than practical applications. Real-world scenarios are referenced to illustrate the relevance of sorting algorithms in various contexts.
By the end of the course, students will possess a deep understanding of sorting algorithms, enabling them to select and implement appropriate algorithms for different scenarios. They will be equipped with the analytical tools necessary to evaluate algorithm performance and make informed algorithmic choices.
The course primarily focuses on equipping students with a deep understanding of sorting algorithms.
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Dr. P. Saranya is an Associate Professor at SRM Institute of Science and Technology. With a Ph.D. in Computer Science, her research focuses on Medical Image Processing and Deep learning. She is also interested in advanced topics in algorithms, data structures, and formal language automata. Driven by a passion for education, she dedicates herself to mentoring students and advancing knowledge in her field.
