BSc Forensic Science Physical Science IV Syllabus - Mumbai University 2026
This degree runs on the Choice Based Credit System throughout, items 6.10, 6.11 and 6.12 of the Academic Council of 17 May 2022, brought in one year at a time from 2022-23. The University has published no NEP 2020 syllabus for it. The University examines only the third year of this degree centrally, under exam forms 1S00815 and 1S00816; the colleges examine the first four semesters.
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Syllabus for Physical Science IV
Module I: Spectroscopy
- Basic Concepts of Atomic and Molecular Spectroscopy, Blackbody Radiation, Planck’s Radiation Law, Wave Particle Duality, De
- Broglie’s Hypothesis, Introduction to Stark Effect, Zeeman Effect, Compton Effect.
- Electromagnetic Spectrum, Principles of Generation of Radiations,
- Their Utility and Limitations. Conventional Sources for UV, Visible and Infrared Rays, Sources for X-Rays.
Module II: Transducers:
- Strain Gauge, Resistance Thermometer, Thermocouple, Thermistors and its Applications, Integrated Circuit Temperature Transducers,
- Speedometers, Microphone & Loudspeaker.
- Variable Inductance Transducers, Linear Variable Differential
- Transducers and Applications, Uses of LVDT, Capacitive
- Transducers, Piezo-Electric Transducers, Photo-Electric
- Transducers,
- Mechanical Flow Meter.
Module III: Introduction to Automobiles:
- Vehicles manufactured in India, Components of automobile, Chassis, body, chassis frame, general assembly’s of chassis and their
- functions, Various identification numbers, Head lights, Tail lights and Indicators, Types of automobiles, Technical terms- wheel base, thread width, turning radius, ground clearance, variants. Safety standards for cars, Suspension system, Steering system, Brake system and testing of brakes, Tire and rims, Two stroke and four stroke engines and their comparison.
Module IV: Elements of Speech Analysis:
- Fundamentals of Speech Recognition: Disciplines Involved in
- Speech Recognition, Paradigm for Speech Recognition, Speech
- Production and Perception in Human Beings, Speech Production
- Process, Presenting Speech in the Time and Frequency Domain,
- Speech Sounds and Features, Approaches to Automatic Speech
- Recognition (ASR) by Machine (Acoustic-Phonetic, Pattern
- Recognition, Artificial Intelligence), Neural Networks and their
- Application and Advantages in Speech Recognition.
- Signal Processing and Analysis Methods for Speech Recognition-
- Introductory Idea about Spectral Analysis Model, Linear Predictive Coding Model, Vector Quantization, Auditory based Spectral
- Analysis Model. Various Voice Identification Software. Collection of Samples and
- Forensic Importance of Voice Analysis.
Text books and Additional References
- 1 Modern Physics; Arthur Beiser
- 2 Atomic Physics; J. B. Rajam
- 3 The Physics of Speech; D. B. Fry
- 4 Applied Speech and Audio Processing; Ian Mcloughlin
- 5 Fundamentals of Speech Recognition; Lawrence Rabiner and Biing- Hwang Juang
- 6 Modern Spectroscopy; J. Michael Hollas
- 7 Transducers and Instrumentation; D. V. S. Murty
- 8 Engineering Physics; R.K.Gaur, S.L.Gupta
- 9 Applied Speech and Audio Processing; Ian Mcloughlin
- 10 Fundamentals of Speech Recognition; Lawrence Rabiner and Biing Hwang Jaung
- 11 Basic of Automobile Engineering By C. P. Nakra.
- 12 Automobile Engineering Vol- I and II By K. M. Gupta.
- 13 Automotive Mechanics By Joseph Heitner
Reproduced from the University of Mumbai syllabus for B.Sc. (Forensic Science) under the Choice Based Credit System, in force from the academic year 2023-24. 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.