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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / TY BE AI and DS / Semester 6 / Data Analytics and Visualization

B.E. (Artificial Intelligence and Data Science) Data Analytics and Visualization 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.

Data Analytics and Visualization.pdf
Semester 6 · TY BE AI and DS · 3 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Data Analytics and Visualization

Semester 6 · TY BE AI and DS · 3 credits · CBCS REV-2019 'C' Scheme

Module 1 5 hours

  • Introduction to the Science of Statistics.
  • 1.1 Fundamental Elements of Statistics, Qualitative and Quantitative Data Summaries, Normal distribution ∙ Sampling, The Central Limit Theorem.

Module 2 6 hours

  • Confidence Intervals and Hypothesis Tests.
  • 2.1 Statistical Inference, Stating Hypotheses, Test Statistics and p-Values, Evaluating Hypotheses.
  • 2.2 Significance Tests and Confidence Intervals, Inference about aPopulation Mean, Two-Sample Problems.

Module 3 5 hours

  • Understanding the association between two continuous or quantitative factors.
  • 3.1 Simple Linear Regression, F-test and t-test for Simple Linear Regression.
  • 3.2 Multiple linear regression, F-test and t-test for Multiple Linear Regression.

Module 4 12 hours

  • Analysis of Variance (ANOVA) and Analysis for Proportions.
  • 4.1 One-Way and Two-Way analysis of Variance and Covariance, F-test for ANOVA, Type I and Type II Errors.
  • 4.2 Analysis for proportions: One-Sample Tests for Proportions, Significance Tests for a Proportion, Confidence Intervals for a Proportion, Two-Sample Tests for Proportions, Confidence Intervals for
  • Differences in Proportions, Significance Tests for Differences in Proportions.

Module 5 6 hours

  • Time Series Analysis
  • 5.1 Operations on Time Series analysis, Testing a Time Series for Autocorrelation, Plotting the Partial Autocorrelation Function, Fitting an ARIMA Model, Running Diagnostics on an ARIMA Model

Module 6 5 hours

  • Data Visualization
  • 6.1 Bar graphs, Line graphs, Histogram, Box plots, Scatter plots, and Choropleth (map) plots, Radial Bar plots
  • 6.2 Time series plots, Creating Dashboard using any tool.

Text Books

  • 1 Teetor, P. (2011). R cookbook. Sebastopol, CA: O'Reilly. ISBN 9780596809157.
  • 2 Chang, W. (2013). R graphics cookbook. Sebastopol, CA: O'Reilly. ISBN 9781449316952.

References

  • 1 Andy Field, Jeremy Miles and Zoe Field. (2012) Discovering Statistics Using R. Publisher: SAGE Publications Ltd. ISBN-13: 978-1446200469.
  • 2 Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. (2013) An Introduction to Statistical Learning with Applications in R. Springer.
  • 3 Han, Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann 3nd Edition

Useful Links

  • 1 https://onlinecourses.nptel.ac.in/noc21_cs45/preview
  • 2 https://nptel.ac.in/courses/106107220

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.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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