B.E Artificial Intelligence and Machine Learning Semiconductor Physics 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 Semiconductor Physics
Prerequisite
Module 1: Basics of
- Semiconductors
Module 2: Junction diode
Module 3: Important Diodes
Module 4: Bipolar Junction Transistors
Module 5: Field Effect Transistors
Module 6: NanoTechnology
Text Books
- 1 Engineering Physics by D.K Bhttacharya, PoonamTandon - Oxford University Press
- 2 Solid State Electronic Devices – B. G. Streetman – Pearson
- 3 Electronic Devices and Circuits – Homas Floyd – Pearson
- 4 Electronic Devices and Circuits – David A. Bell – Oxford University Press
- 1 Semiconductor Physics and Devices – Basic Principles – Donald Neamen – McGraw Hill
- 2 Physics of Semiconductor Devices - S.M. Sze, Kwok K. Ng - John Wiley & Sons
- 3 Electronic Devices and Circuit Theory - R. Boylestad, L Nashelsky - Pearson
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.