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B.E Artificial Intelligence and Machine Learning Environmental Science for Engineers Syllabus - Mumbai University

This is the Second Year AI-ML syllabus under NEP 2020, in force from the academic year 2025-26. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Environmental-Science-for-Engineers.pdf
Semester 3 · Second Year AI-ML · 2 credits · 50 marks

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Syllabus for Environmental Science for Engineers

Semester 3 · Second Year AI-ML · 2 credits · 50 marks

Module 1: Study of Environmental Components and Ecosystems.

Module 2: Visit and Report on Solid Waste Management Plant.

Module 3: Study of Renewable Energy Sources (Solar, Wind, Biogas).

Module 4: Analysis of Air and Water Quality Parameters.

Module 5: Study of Local Biodiversity and Conservation Methods.

Module 6: Awareness Activity on Environmental Issues.

Module 7: Rainwater Harvesting System Design

Module 8: Case Study on Environmental Pollution & Control Measures.

Module 9: Report on Climate Change Impact and Adaptation.

Module 10: Study of Environmental Laws and Acts.

Module 11: Study of Disaster Management Techniques.

Module 12: Report on Role of IT in Environmental Protection.

  • List of Assignments / Tutorials

Module 1: Prepare a report on Renewable and Non-Renewable Resources.

Module 2: Write a case study on Ecosystem Types in India

Module 3: Write a report on Biodiversity in India.

Module 4: Prepare a report on Pollution Types and Control Measures.

Module 5: Prepare a report on Environmental Ethics and Sustainability.

Module 6: Prepare a case study report on Global Warming and Climate Change.

Module 7: Report on Role of an Individual in Environmental Protection.

Module 8: Write a report on Disaster Management Techniques.

Module 9: Prepare a report on Environmental Laws and Acts in India.

Module 10: Case Study on E-waste Management and Recycling Techniques.

Textbooks

  • 1 Environmental Science: Towards a Sustainable Future, G. Tyler Miller and Scott Spoolman, 13th Edition, Cengage Learning 2021
  • 2 Environmental Management: Text and Cases, Bala Krishnamoorthy, 3rd Edition, PHI Learning, Publication Year: 2016
  • 3 Green IT: Concepts, Technologies, and Best Practices, Markus Allemann, Springer 2008
  • 4 Sustainable IT: Slimming Down and Greening Up Your IT Infrastructure, David F. Linthicum, IBM Press 2009
  • 5 Environmental Modelling: Finding Solutions to Environmental Problems, David L. Murray, Cambridge University Press 2016
  • 6 Remote Sensing and Image Interpretation, Thomas M. Lillesand, Ralph W. Kiefer, and Jonathan W. Chipman, 9th Edition, John Wiley & Sons 2020
  • 7 Business Ethics: Concepts and Cases, Manuel Velasquez, Pearson 2012
  • 1 Environmental Law and Policy in India, Shyam Divan and Armin Rosencranz, 2nd Edition, Oxford University Press 2018
  • 2 The International Handbook of Environmental Laws, David Freestone and Jonathon L. Rubin, Edward Elgar Publishing 2000
  • 3 E-Waste Management: Challenges and Opportunities in Developing Countries, Ruediger Kuehr and Ram K. Jain, Springer 2008
  • 4 The E-Waste Handbook: Managing Electronic Waste, Klaus Hieronymi, Ruediger Kuehr, and Ram K. Jain, Earthscan 2009
  • 5 Environmental Ethics: An Introduction, J. Baird Callicott, University of Georgia Press1999

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2025-26. 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.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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