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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / Fourth Year BE AI and DS / Semester 8 / Graph Data Science

B.E. (Artificial Intelligence and Data Science) Graph Data Science Syllabus - Mumbai University 2026

This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.

Graph Data Science.pdf
Semester 8 · Fourth Year BE AI and DS · 3 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Graph Data Science

Semester 8 · Fourth Year BE AI and DS · 3 credits · CBCS REV-2019 'C' Scheme

Module Introduction to Graph 04 hours

  • Introduction to Graph Definitions and examples, Three puzzles, Paths and cycles, Connectivity, Eulerian graphs, Hamiltonian graphs, shortest path, Chinese postman problem, traveling salesman problem, trees, properties of trees
  • Introduction Graph databases A High-Level View of the Graph Space, Graph Databases, Graph Compute Engines, The Power of Graph Databases, Performance, Flexibility, Agility, Options for Storing Connected Data, Relational Databases Lack Relationships, NOSQL Databases Also Lack Relationships, Graph databases embraces relationship
  • Data Modelling with Graphs Models and Goals, The Labelled Property Graph Mode Querying Graphs, A Comparison of Relational and Graph Modelling, Cross-Domain Models, Common Modelling Pitfalls, Identifying Nodes and Relationships, Avoiding Anti-Patterns
  • Building a Graph Database Application Data Modelling , Application Architecture ,Testing ,Capacity Planning ,Importing and Bulk Loading Data ,
  • Graphs in the Real World Organizations Choose Graph Databases, Common Use Cases, Real-World Examples, Authorization and Acces Control, Geospatial and Logistics, Graph Database Internals, Native Graph Processing, Native Graph Storage Programmatic APIs, Kernel API, Core API, Traversa Framework, Non-functional Characteristics
  • Case Study Neo4j – About, Neo4j – Installation, Neo4j – Browser Neo4j - Query Language (Cypher), Neo4j - Create a Node Neo4j - Create a Relationship, Neo4j - Create an Index Neo4j - Create a Constraint, Neo4j - Select Data with MATCH, Neo4j - Import Data from CSV, Neo4j - Drop an Index, Neo4j - Drop a Constraint, Neo4j - Delete a Node, Neo4j - Delete a Relationship

Text Books

  • 1 Introduction to Graph Theory Fourth edition, Robin J. Wilson
  • 2 Daphne Koller and Nir Friedman, "Probabilistic Graphical Models: Principles and Techniques", Cambridge, MA: The MIT Press, 2009 (ISBN 978-0-262-0139- 2).
  • 3 Graph databases, Ian Robinson, Jim Webber & Emil Eifrem

References

  • 1 "Graph Databases: New Opportunities for Connected Data" by Ian Robinson, Jim Webber, and Emil Eifrém.
  • 2 "Neo4j in Action" by Aleksa Vukotic, Nicki Watt, and Tareq Abedrabbo.
  • 3 "Graph Databases for Beginners" by Mark Needham and Amy E. Hodler.
  • 4 "Practical Neo4j" by Gregory Jordan.
  • 5 "Learning Neo4j" by Rik Van Bruggen.
  • 6 "Graph Database Applications and Concepts with Neo4j" by Dionysios Synodinos.

Digital Material

  • 1 https://web4.ensiie.fr/~stefania.dumbrava/OReilly_Graph_Databases.pdf
  • 2 https://www.quackit.com/neo4j/tutorial/

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

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