Pre-requisites: An understanding of Mathematics in general is sufficient. Course Outcomes:
Know some important classes of graph theoretic problems;
Be able to formulate and prove central theorems about trees, matching, connectivity, colouring
and planar graphs;
Be able to describe and apply some basic algorithms for graphs;
Be able to use graph theory as a modelling tool. UNIT – I
Introduction-Discovery of graphs, Definitions, Subgraphs, Isomorphic graphs, Matrix representations of graphs, Degree of a vertex, Directed walks, paths and cycles, Connectivity in digraphs, Eulerian and Hamilton digraphs, Eulerian digraphs, Hamilton digraphs, Special graphs, Complements, Larger graphs from smaller graphs, Union, Sum, Cartesian Product, Composition, Graphic sequences, Graph theoretic model of the LAN problem, Havel-Hakimi criterion, Realization of a graphic sequence. UNIT – II
Connected graphs and shortest paths – Walks, trails, paths, cycles, Connected graphs, Distance,Cut-vertices and cut-edges, Blocks, Connectivity, Weighted graphs and shortest paths, Weighted graphs, Dijkstra‟s shortest path algorithm, Floyd-Warshall shortest path algorithm. UNIT – III
Trees- Definitions and characterizations, Number of trees, Cayley‟s formula, Kircho↵-matrix-tree theorem, Minimum spanning trees, Kruskal‟s algorithm, Prim‟s algorithm, Special classes of graphs, Bipartite Graphs, Line Graphs, Chordal Graphs, Eulerian Graphs, Fleury‟s algorithm, Chinese Postman problem, Hamilton Graphs, Introduction, Necessary conditions and sufficient conditions. UNIT – IV
Independent sets coverings and matchings – Introduction, Independent sets and coverings: basic equations, Matchings in bipartite graphs, Hall‟s Theorem, K¨onig‟s Theorem, Perfect matchings in graphs, Greedy and approximation algorithms. UNIT – V
Vertex Colorings- Basic definitions, Cliques and chromatic number, Mycielski‟s theorem, Greedy coloring algorithm, Coloring of chordal graphs, Brooks theorem, Edge Colorings, Introduction and Basics, Gupta-Vizing theorem, Class-1 and Class-2 graphs, Edge-coloring of bipartite graphs, Class-2 graphs, Hajos union and Class-2 graphs, A scheduling problem and equitable edge-coloring. TEXT BOOKS:
1. J. A. Bondy and U. S. R. Murty. Graph Theory, volume 244 of Graduate Texts in Mathematics.Springer, 1st edition, 2008.
2. J. A. Bondy and U. S. R. Murty. Graph Theory with Applications. REFERENCE BOOKS:
1. Lecture Videos: http://nptel.ac.in/courses/111106050/13.
2. Introduction to Graph Theory, Douglas B. West, Pearson.
3. Schaum’s Outlines Graph Theory, Balakrishnan, TMH.
4. Introduction to Graph Theory, Wilson Robin j, PHI.
5. Graph Theory with Applications to Engineering and Computer Science, Narsing Deo, PHI.
6. Graphs – An Introductory Approach, Wilson and Watkins
CSE-AIML
SEMESTER
SUBJECT CODE
SUBJECT
Lession Plan Lecturer Notes & Question Bank
SYLLABUS
I
MA101BS
Mathematics – I
Click Here
I
AP102BS
Applied Physics
Click Here
I
CS103ES
Programming for Problem Solving
Click Here
I
ME104ES
Engineering Graphics
Click Here
I
AP105BS
Applied Physics Lab
Click Here
I
CS106ES
Programming for Problem Solving Lab
Click Here
I
MC109ES
Environmental Science
Click Here
II
MA201BS
Mathematics – II
Click Here
II
CH202BS
Chemistry
Click Here
II
EE203ES
Basic Electrical Engineering
Click Here
II
ME205ES
Engineering Workshop
Click Here
II
EN205HS
English
Click Here
II
CH206BS
Engineering Chemistry Lab
Click Here
II
EN207HS
English Language and Communication Skills Lab
Click Here
II
EE208ES
Basic Electrical Engineering Lab
Click Here
II-I
CS310PC
Discrete Mathematics
Click Here
II-I
CS302PC
Data Structures
Click Here
II-I
MA313BS
Mathematical and Statistical Foundations
Click Here
II-I
CS304PC
Computer Organization and Architecture
II-I
CS311PC
Python Programming
Click Here
II-I
SM306MS
Business Economics & Financial Analysis
Click Here
II-I
CS307PC
Data Structures Lab
Click Here
II-I
CS312PC
Python Programming Lab
Click Here
II-I
MC309
Gender Sensitization Lab
Click Here
II-II
CS416PC
Formal Language and Automata Theory
Click Here
II-II
CS417PC
Software Engineering
Click Here
II-II
CS403PC
Operating Systems
Click Here
II-II
CS404PC
Database Management Systems
Click Here
II-II
CS412PC
Object Oriented Programming using Java
Click Here
II-II
CS406PC
Operating Systems Lab
Click Here
II-II
CS407PC
Database Management Systems Lab
Click Here
II-II
CS408PC
Java Programming Lab
Click Here
II-II
MC409
Constitution of India
Click Here
III-I
Design and Analysis of Algorithms
Click Here
III-I
Machine Learning
Click Here
III-I
Computer Networks
Click Here
III-I
Compiler Design
Click Here
III-I
Graph Theory (PE1)
Click Here
III-I
Introduction to Data Science(PE1)
Click Here
III-I
Web Programming(PE1)
Click Here
III-I
Image Processing(PE1)
Click Here
III-I
Computer Graphics(PE1)
Click Here
III-I
Software Testing Methodologies(PE2)
Click Here
III-I
Information Retrieval Systems(PE2)
III-I
Pattern Recognition(PE2)
Click Here
III-I
Computer Vision and Robotics(PE2)
Click Here
Click Here
III-I
Data Warehousing and Business Intelligence(PE2)
Click Here
III-I
Machine Learning Lab
Click Here
III-I
Computer Networks Lab
Click Here
III-I
Advanced Communication Skills Lab
Click Here
III-I
Intellectual Property Rights
Click Here
III-II
Artificial Intelligence
Click Here
Click Here
III-II
DevOps
Click Here
Click Here
III-II
Natural Language Processing
Click Here
Click Here
III-II
Internet of Things(PE3)
Click Here
Click Here
III-II
Data Mining(PE3)
Click Here
Click Here
III-II
Scripting Languages(PE3)
Click Here
Click Here
III-II
Mobile Application Development(PE3)
Click Here
Click Here
III-II
Cryptography and Network Security(PE3)
Click Here
Click Here
III-II
Artificial Intelligence and Natural Language
Processing Lab
Add Comment