Graph Theory Course | 8-Week Online Program | Prof. Soumen Maity IISER Pune
Course Details
| Exam Registration | 876 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Mathematics, Foundations of Computing |
| Credit Points | 2 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Mar 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 28 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Connections: A Comprehensive Guide to Graph Theory
Graph Theory, the mathematical study of networks and relationships, forms the very backbone of modern computer science, data analytics, and network design. From mapping the shortest delivery route to understanding social media connections, its applications are vast and critical. This detailed blog introduces you to an exceptional opportunity to master this fundamental subject through an 8-week course led by an esteemed academic.
Your Expert Instructor: Prof. Soumen Maity
Learning complex concepts becomes intuitive under the guidance of an expert. This course is taught by Prof. Soumen Maity, an Associate Professor of Mathematics at the prestigious Indian Institute of Science Education and Research (IISER) Pune.
Prof. Maity brings a wealth of knowledge and experience to the virtual classroom. He holds a PhD from the Theoretical Statistics & Mathematics Unit at the Indian Statistical Institute (ISI) Kolkata. His academic journey includes valuable postdoctoral research at Lund University (Sweden), the Indian Institute of Management (IIM) Kolkata, and the University of Ottawa (Canada). Prior to joining IISER Pune in 2009, he served as an Assistant Professor at both IIT Guwahati and IIT Kharagpur.
Course Overview: Structure and Relevance
This meticulously designed course spans 8 weeks and is tailored for Undergraduate and Postgraduate students. It falls under the key categories of Mathematics and the Foundations of Computing.
About the Course: The journey of Graph Theory began in 1736 with Euler's ingenious solution to the Königsberg Bridge Problem. Over 280 years later, it remains a core pillar of Discrete Mathematics, which itself is the theoretical foundation for computer and information sciences. This course offers an elementary yet thorough introduction to the basic knowledge and primary methods in Graph Theory, making abstract concepts accessible and applicable.
Intended Audience: B.Sc, M.Sc, B.Tech, and M.Tech students will find this course immensely beneficial.
Industry Support: The curriculum and certification are recognized by several leading industries and academic institutes, adding significant value to your professional profile.
Weekly Curriculum: A Step-by-Step Learning Path
The course is structured to build your understanding from the ground up. Here is a detailed week-by-week breakdown of the topics covered:
| Week | Topics Covered |
|---|---|
| Week 1 | Paths, Cycles, Trails, Eulerian Graphs, Hamiltonian Graphs |
| Week 2 | Bipartite Graphs, Trees, Minimum Spanning Tree Algorithms |
| Week 3 | Matching and Covers |
| Week 4 | Maximum Matching in Bipartite Graphs |
| Week 5 | Cuts and Connectivity |
| Week 6 | 2-Connected Graphs |
| Week 7 | Network Flow Problems, Ford-Fulkerson Algorithm |
| Week 8 | Planar Graphs; Coloring of Graphs |
Essential Reference Materials
To complement the lectures and provide deeper insights, the course references seminal textbooks in the field:
- Introduction to Graph Theory by D.B. West (2001) Prentice Hall.
- Graph Theory by F. Harary (1969) Addison-Wesley.
- Graph Theory by R. Diestel (2006) Springer.
Why Enroll in This Graph Theory Course?
This course is more than just a series of lectures; it's a gateway to mastering the language of networks. Whether you aim to excel in competitive exams, build a career in data science, software engineering, or academic research, a solid grasp of Graph Theory is indispensable. Under Prof. Maity's guidance, you will not only learn definitions and theorems but also develop the problem-solving mindset needed to apply these concepts to real-world challenges. Enroll today and start charting your path through the interconnected world of graphs.
Enroll Now →