B.E Artificial Intelligence and Machine Learning Physics for Emerging Fields Lab Syllabus - Mumbai University
This is the First Year AI-ML syllabus under NEP 2020, in force from the academic year 2024-25. 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.
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Syllabus for Physics for Emerging Fields Lab
Module 1: Measurements of V-I characteristics (Load) Photovoltaic Cell
Module 2: Study of power out of series and parallel combinations of Photovoltaic cells
Module 3: Study of MEMS pressure Sensor
Module 4: study of colour sensor
Module 5: Study of Chromaticity diagram with RGB led
Module 6: Study of directivity and frequency response of MEMS microphone
Module 7: Study of CMOS image sensor and Colour calibration
Module 8: Study of a piezoelectric electric transducer as energy source
Module 9: Study of a Chromaticity & colour matching using Chromatic Vision simulator
Module 10: Simulation experiments based on nanotechnology using open source simulation
Module 11
- Any other experiment based on syllabus may be included, which would help the learner to understand concept. ,after defining a suitable LO
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2024-25. 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.