B.E. (Artificial Intelligence and Data Science) Data Warehousing and Mining Lab Syllabus - Mumbai University
This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. 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 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.
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Syllabus for Data Warehousing and Mining Lab
Module 1
- Data Warehouse Construction a) Real life Problem to be defined for Warehouse Design b) Construction of star schema and snow flake schema c) ETL Operations.
Module 2
- Construction of Cubes , OLAP Operations, OLAP Queries
Module 3
- Tutorials a) Solving exercises in Data Exploration b) Solving exercises in Data preprocessing
Module 4
- Using open source tools Implement Classifiers
Module 5
- Using open source tools Implement Association Mining Algorithms
Module 6
- Using open source tools Implement Clustering Algorithms
Module 7
- Implementation of any one classifier using languages like JAVA/ python
Module 8
- Implementation of any one clustering algorithm using languages like JAVA/ python
Module 9
- Implementation of any one association mining algorithm using languages like JAVA/ python .
Module 10
- Implementation of page rank algorithm.
Module 11
- Implementation of HITS algorithm.
Useful Links
- 1 www.leetcode.com
- 2 www.hackerrank.com
- 3 www.cs.usfca.edu/~galles/visualization/Algorithms.html
- 4 www.codechef.com
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.42 (R), under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. 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.