Deep Dive into Algorithm Design Paradigms
What you'll learn
- Students learn different algorithmic paradigms to solve the problem.
- Students learn various sorting techniques, from basic comparison-based methods to advanced divide-and-conquer approaches.
- Understanding time complexities helps in evaluating and selecting appropriate sorting algorithms.
- Key concepts such as divide-and-conquer, dynamic programming, greedy algorithms, and backtracking, which are essential for solving complex computational problem
- Dive into sorting algorithms including merge sort and quick sort and learning their implementation.
- Application of algorithmic techniques to solve real-world problems, including sorting and searching, shortest path in graphs, network flow, and string matching.
Requirements
- Students should be familiar with at least one programming language such as Java, C, C++, or similar.
- Problem-Solving Skills
- Understanding of Data Structures.
Description
Welcome to "Deep Dive into Different Algorithmic Paradigms," a course designed to provide an in-depth exploration of the fundamental principles and techniques that underpin algorithm design. This course is tailored for students who wish to deepen their understanding of various algorithmic strategies and their practical applications in solving complex computational problems.
Throughout this course, students will engage with a range of algorithmic paradigms, including divide-and-conquer, dynamic programming, greedy algorithms, backtracking, and branch-and-bound. Each paradigm will be dissected to reveal its underlying principles, strengths, and weaknesses, providing students with a robust toolkit for tackling a diverse array of problems.
The course will emphasize the importance of efficiency and optimization, teaching students how to analyze the time and space complexity of algorithms using Big O, Big Omega, and Big Theta notations. By mastering these analytical tools, students will learn to assess the feasibility and performance of various algorithmic approaches in different contexts.
Students will also gain practical experience by applying these paradigms to real-world problems, such as sorting and searching, shortest path finding in graphs, scheduling, and optimization tasks. Through hands-on projects and assignments, students will develop the skills needed to design, implement, and optimize algorithms for a variety of applications.
By the end of this course, students will have a deep understanding of multiple algorithmic paradigms, equipping them with the knowledge and skills to innovate and solve complex problems efficiently in their academic and professional careers. Join us to explore the depths of algorithmic thinking and become proficient in the art of designing efficient, effective algorithms.
Who this course is for:
- Undergraduate or graduate students studying computer science, software engineering, or related fields who want to deepen their understanding of fundamental algorithms and data structures.
- Enthusiasts or participants in programming competitions like ACM ICPC, Google Code Jam, or LeetCode who want to sharpen their algorithmic skills and improve their performance in competitive programming.
Instructor
- 4.9 Instructor Rating
- 39 Reviews
- 1,015 Students
- 2 Courses
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.