B.E. (Computer Engineering) Applied Data Science 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 Applied Data Science Lab
Module 1: Explore the descriptive and inferential statistics on the given dataset.
Module 2: Apply data cleaning techniques (e.g. Data Imputation).
Module 3: Explore data visualization techniques.
Module 4: Implement and explore performance evaluation metrics for Data Models (Supervised/Unsupervised Learning)
Module 5: Use SMOTE technique to generate synthetic data.(to solve the problem of class imbalance)
Module 6: Outlier detection using distance based/density based method.
Module 7: Implement time series forecasting.
Module 1: Illustrate data science lifecycle for selected case study. (Prepare case study document for the selected case study)
- Suggested Case Studies: Customer Segmentation Fraud Detection House Price prediction Product Recommendation Stock price prediction Weather prediction Suggested Assignment List Assignments can be given on self learning topics or data deployment tools.
Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2022-23. 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.