COURSE POLICY

1. ·  Account Responsibility: Each account is intended for individual use only. Sharing login credentials with others is strictly prohibited and may result in account suspension or legal action.
2.   Simultaneous Viewing: Watching videos on multiple devices at the same time is prohibited.
3.    Monitoring: We reserve the right to monitor device usage to ensure compliance with these policies. Access to the full course is permitted only on the initially registered devices.
4.    Course Validity:Extensions to the course will not be granted after the expiration date outlined in your purchase details.
5.   Ownership of Materials   All course materials—including  video lectures, audio recordings, downloadable PDFs, quizzes, graphics, and proprietary software—are the intellectual property of RVS Maths Academy. These materials are provided solely for the personal, non-commercial educational use of enrolled student.
6.   Prohibition of Unauthorized Copying      Students are strictly prohibited from                  copying   or duplicating course content. This includes:

                     Text Scraping: Manually copying and pasting text or using automated tools                                                                      (bots/crawlers) to extract written content.

                     Direct Downloads: Attempting to download video or audio files provided by the                                                                   platform.

                    Sharing Credentials: Sharing login information with non-enrolled individuals to grant                                                               them access to course materials.

 

 

Group A S4 2024 Scheme

 

The syllabus is divided into four modules, progressing from basic definitions to complex algorithms and matrix-based analysis:

• Module 1: Fundamentals of Graphs Covers basic definitions, vertex degrees, isomorphism, subgraphs, and the concepts of paths, circuits, and connectivity.
• Module 2: Advanced Paths & Directed Graphs Focuses on Euler and Hamiltonian graphs, the Traveling Salesman Problem, and the properties of directed graphs.
• Module 3: Trees & Optimization Algorithms Explores the properties of trees and spanning trees. This module is heavily algorithmic, covering Prim’s, Kruskal’s, Dijkstra’s, and Floyd-Warshall algorithms for finding minimum spanning trees and shortest paths.
• Module 4: Connectivity & Matrix Representations Examines cut sets and connectivity (edge and vertex). It also details how graphs are represented mathematically through Adjacency, Incidence, Circuit, and Path matrices.