B.E. (Computer Engineering) Data Warehousing and Mining Lab Syllabus - Mumbai University 2026
The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.
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Syllabus for Data Warehousing and Mining Lab
Module 1: One case study on building Data warehouse/Data Mart
- Write Detailed Problem statement and design dimensional modelling (creation of star and snowflake schema)
Module 2: Implementation of all dimension table and fact table based on experiment 1 case study
Module 3: Implementation of OLAP operations: Slice, Dice, Rollup, Drilldown and Pivot based on experiment 1 case study
Module 4: Implementation of Bayesian algorithm
Module 5: Implementation of Data Discretization (any one) & Visualization (any one)
Module 6
- Perform data Pre-processing task and demonstrate Classification, Clustering, Association algorithm on data sets using data mining tool (WEKA/R tool)
Module 7: Implementation of Clustering algorithm (K-means/K-medoids)
Module 8: Implementation of any one Hierarchical Clustering method
Module 9: Implementation of Association Rule Mining algorithm (Apriori)
Module 10: Implementation of Page rank/HITS algorithm
Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2021-22. Wording is as printed in that syllabus. Module numbering is as printed there too.
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.