Introductory Graph Theory

SKILLS: Graph analysis | Connectivity | Graph coloring techniques

Course Fee - ₹ 1500

Registration Closed

Overview

This course deals with the basic notions of graph theory. This includes definitions and basic results of graphs, vertex degrees, graph classes, connectivity and graph coloring.

START DATE

Jul 01 2026

END DATE

Oct 15 2026

Delivery Mode

Online

Duration

15 Hours

Type

Theory

Course Fee

₹ 1500

Credentials and Certification

1 Credit

Course Category Micro-Credentials (Advanced)

TARGET AUDIENCE CHRIST University students

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Graph Theory Fundamentals

Understand the fundamental concepts, terminology, and structures of graph theory while exploring their significance in mathematical problem-solving.

CORE KNOWLEDGE

Graph Structures and Properties

Learn the characteristics and properties of graphs, vertices, edges, paths, cycles, and related concepts through practical examples.

CONCEPTUAL LEARNING

Problem-Solving Techniques

Develop analytical problem-solving skills by applying graph theory concepts to solve mathematical and computational challenges effectively.

ANALYTICAL THINKING

Mathematical Proof Methods

Master various proof techniques used in graph theory to construct logical arguments and validate mathematical statements with confidence.

LOGICAL REASONING

Graph Algorithms and Applications

Explore fundamental graph algorithms and their applications in computer science, networking, optimization, and real-world decision-making problems.

PRACTICAL APPLICATIONS

Critical Thinking in Graph Theory

Strengthen critical thinking by analyzing graph-based problems, evaluating solutions, and applying mathematical reasoning to complex scenarios.

PROBLEM SOLVING

ELIGIBILITY CRITERIA

II or III year UG student of the School of Science

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Tabitha Rajashekar

Assistant Professor

Dr. Paradesi Tabitha Rajashekar is an experienced Mathematics educator and researcher with over 20 years of teaching excellence. A faculty member at Christ University, she specializes in graph distances, derived graphs, and labeling problems. She combines innovative teaching, active research, and dedicated mentorship to inspire mathematical thinking.

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 1

Graphs

Module 2

Connectivity

Module 3