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Course Title: Physics for Computer Science and Engineering stream
Course Code: 22PHYS12/22 CIE Marks 50
Course Type SEE Marks 50
Integrated
(Theory/Practical/Integrated) Total Marks 100
Teaching Hours/Week (L:T:P: S) 2:2:2:0 Exam Hours 03+02
Total Hours of Pedagogy 40 hours Theory + 10 to 12 Lab slots Credits 04
Course objectives
To study the essentials of photonics for engineering applications.
To study the principles of quantum mechanics and its applications in quantum computing.
To study the electrical properties of materials.
To study the essentials of physics for computational aspects like design and data analysis.
Teaching-Learning Process
These are sample Strategies, which teachers can use to accelerate the attainment of the various course outcomes and
make Teaching-Learning more effective
1. Flipped Class
2. Chalk and Talk
3. Blended Mode of Learning
4. Simulations, Interactive Simulations and Animations
5. NPTEL and Other Videos for theory topics
6. Smart Class Room
7. Lab Experiment Videos
Module-1 (8 Hours)
Laser and Optical Fibers:
LASER: Basic properties of a LASER beam, Interaction of Radiation with Matter, Einstein’s A and B Coefficients,
Laser Action, Population Inversion, Metastable State, Requisites of a laser system, Semiconductor Diode Laser,
Applications: Bar code scanner, Laser Printer, Laser Cooling. Numerical problems.
Optical Fiber: Principle and structure, Acceptance angle and Numerical Aperture (NA) and derivation of Expression
for NA, Classification of Optical Fibers, Attenuation and Fiber Losses, Applications: Fiber Optic networking, Fiber
Optic Communication. Numerical Problems.
Pre-requisite:Properties of light
Self-learning: Total Internal Reflection & Propagation Mechanism (Optical Fibers)
Module-2 (8 Hours)
Quantum Mechanics:
de Broglie Hypothesis and Matter Waves, de Broglie wavelength and derivation of expression by analogy, Phase
Velocity and Group Velocity, Heisenberg’s Uncertainty Principle and its application (Nonexistence of electron inside
the nucleus-Non Relativistic), Principle of Complementarity, Wave Function, Time independent Schrodinger wave
equation, Physical Significance of a wave function and Born Interpretation, Expectation value, Eigen functions and
Eigen Values, Particle inside one-dimensional infinite potential well, Waveforms and Probabilities. Numerical
problems.
Pre-requisite:Wave-Particle dualism
Self-learning: de Broglie Hypothesis
Module-3 (8 Hours)
Quantum Computing:
Wave Function in Ket Notation: Matrix form of wave function, Identity Operator, Determination of I|0> and I|1>,
Pauli Matrices and its operations on 0 and 1 states, Mention of Conjugate and Transpose, Unitary Matrix U, Examples:
Row and Column Matrices and their multiplication (Inner Product), Probability, Orthogonality
Principles of Quantum Information & Quantum Computing: Introduction to Quantum Computing, Moore’s law &
its end. Single particle quantum interference, Classical & quantum information comparison. Differences between
classical & quantum computing, quantum superposition and the concept of qubit.
Properties of a qubit: Mathematical representation. Summation of probabilities,Representation of qubit by Bloch
sphere
Quantum Gates:Single Qubit Gates:Quantum Not Gate, Pauli -Z Gate Hadamard Gate, Pauli Matrices, Phase Gate
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(or S Gate), T Gate
Multiple Qubit Gates: Controlled gate, CNOT Gate, (Discussion for 4 different input states). Representation of, Swap
gate, Controlled-Z gate, Toffoli gate,Accounting for the extra-ordinary capability of quantum computing, Model
Realizations.
Pre-requisites: Matrices.
Self-learning: Moore’s law
Module-4 (8 Hours)
Electrical Properties of Materials and Applications
Electrical conductivity in metals, Resistivity and Mobility, Concept of Phonon, Matthiessen's rule. Introduction to
Super Conductors, Temperature dependence of resistivity, Meissner’s Effect, Silsbee Effect, Types of
Superconductors, Temperature dependence of critical field, BCS theory (Qualitative), Quantum Tunneling, High-
Temperature superconductivity, Josephson Junction, DC and AC SQUIDs (Qualitative), Applications in Quantum
Computing (Mention). Numerical problems.
Pre-requisites:Basics of Electrical conductivity
Self-learning: Resistivity and Mobility
Module-5 (8 hours)
Applications of Physics in computing:
Physics of Animation:Taxonomy of physics-based animation methods, Frames, Frames per Second, Size and Scale,
weight and strength, Motion and Timing in Animations, Constant Force and Acceleration, The Odd rule, Motion
Graphs, Numerical Calculations based on Odd Rule, Examples of Character Animation: Jumping, Walking. Numerical
problems.
Statistical Physics for Computing: Descriptive statistics and inferential statistics, Poisson distribution and Normal
Distributions (Bell Curves), Monte Carlo Method. Numerical problems.
Pre-requisites: Motion in one dimension
Self-learning: Frames, Frames per Second
Course outcome (Course Skill Set)
At the end of the course the student will be able to:
CO1 Describe the principles of LASERS and Optical fibers and their relevant applications.
CO2 Discuss the basic principles of Quantum Mechanics and their application in Quantum Computing.
CO3 Summarize the essential properties of superconductors and applications in Quantum Computing.
CO4 Illustrate the application of physics in design and data analysis.
CO5 Practice working in groups to conduct experiments in physics and perform precise and honest measurements.
Assessment Details (both CIE and SEE)
The weightage of Continuous Internal Evaluation (CIE) is 50% and for Semester End Exam (SEE) is 50%. The minimum
passing mark for the CIE is 40% of the maximum marks (20 marks out of 50). The minimum passing mark for the SEE is
35% of the maximum marks (18 marks out of 50). A student shall be deemed to have satisfied the academic requirements
and earned the credits allotted to each subject/ course if the student secures not less than 35% (18 Marks out of 50) in the
semester-end examination(SEE), and a minimum of 40% (40 marks out of 100) in the sum total of the CIE (Continuous
Internal Evaluation) and SEE (Semester End Examination) taken together.
Continuous Internal Evaluation(CIE):
Two Unit Tests each of20 Marks (duration 01 hour)
First test after the completion of 30-40 % of the syllabus
Second test after completion of 80-90% of the syllabus
One Improvement test before the closing of the academic term may be conducted if necessary. However best two tests out
of three shall be taken into consideration.
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Two assignments each of 10 Marks
The teacher has to plan the assignments and get them completed by the students well before the closing of the term so
that marks entry in the examination portal shall be done in time. Formative (Successive) Assessments include
Assignments/Quizzes/Seminars/ Course projects/Field surveys/ Case studies/ Hands-on practice (experiments)/Group
Discussions/ others. The Teachers shall choose the types of assignments depending on the requirement of the course
and plan to attain the COs and POs. (to have a less stressed CIE, the portion of the syllabus should not be common
/repeated for any of the methods of the CIE. Each method of CIE should have a different syllabus portion of the
course). CIE methods /test question paper is designed to attain the different levels of Bloom’s taxonomy as per the
outcome defined for the course.
The sum of two tests, two assignments, will be out of 60 marks and will be scaled down to 30 marks
CIE for the practical component of the Integrated Course
On completion of every experiment/program in the laboratory, the students shall be evaluated and marks shall be
awarded on the same day. The15 marks are for conducting the experiment and preparation of the laboratory
record, the other 05 marks shall be for the test conducted at the end of the semester.
The CIE marks awarded in the case of the Practical component shall be based on the continuous evaluation of the
laboratory report. Each experiment report can be evaluated for 10 marks. Marks of all experiments’ write-ups are
added and scaled down to 15 marks.
The laboratory test (duration 02/03 hours) at the end of the 14th /15th week of the semester /after completion of
all the experiments (whichever is early) shall be conducted for 50 marks and scaled down to 05 marks.
Scaled-down marks of write-up evaluations and tests added will be CIE marks for the laboratory component of IPCC for
20 marks.
Semester End Examination (SEE):
SEE for IC
Theory SEE will be conducted by University as per the scheduled time table, with common question
papers for the course (duration 03 hours)
1. The question paper will have ten questions. Each question is set for 20 marks.
2. There will be 2 questions from each module. Each of the two questions under a module (with a max-
imum of 3 sub-questions), should have a mix of topics under that module.
3. The students have to answer 5 full questions, selecting one full question from each module.
The theory portion of the Integrated Course shall be for both CIE and SEE, whereas the practical
portion will have a CIE component only. Questions mentioned in the SEE paper shall include
questions from the practical component).
Passing standard:
The minimum marks to be secured in CIE to appear for SEE shall be 12 (40% of maximum marks-
30) in the theory component and 08 (40% of maximum marks -20) in the practical component.
The laboratory component of the IPCC shall be for CIE only. However, in SEE, the questions from
the laboratory component shall be included. The maximum of 04/05 questions to be set from the
practical component of IPCC, the total marks of all questions should not be more than 30 marks.
SEE will be conducted for 100 marks and students shall secure 35% of the maximum marks to
qualify for the SEE. Marks secured will be scaled down to 50.
Suggested Learning Resources:
Books (Title of the Book/Name of the author/Name of the publisher/Edition and Year)
1. Solid State Physics, S O Pillai, New Age International Private Limited, 8 th Edition, 2018.
2. Engineering Physics by Gupta and Gour, Dhanpat Rai Publications, 2016 (Reprint).
3. Concepts of Modern Physics, ArthurBeiser, McGraw-Hill, 6th Edition, 2009.
4. Lasers and Non-Linear Optics, B B Loud, New age international, 2011 edition.
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5. A textbook of Engineering Physics by M .N. Avadhanulu, P G. Kshirsagar and T V S Arun Murthy, Eleventh
edition, S Chand and Company Ltd. New Delhi-110055.
6. Quantum Computation and Quantum Information, Michael A. Nielsen & Isaac L. Chuang, Cambridge Universities
Press, 2010 Edition.
7. Quantum Computing, Vishal Sahani, McGraw Hill Education, 2007 Edition.
8. Engineering Physics, S P Basavaraj, 2005 Edition,
9. Physics for Animators, Michele Bousquet with Alejandro Garcia, CRC Press, Taylor & Francis, 2016.
10. Quantum Computation and Logic: How Quantum Computers Have Inspired Logical Investigations,Maria Luisa
Dalla Chiara, Roberto Giuntini, Roberto Leporini, Giuseppe Sergioli,TrendsinLogic, Volume 48, Springer.
11. Statistical Physics: Berkely Physics Course, Volume 5, F. Reif, McGraw Hill.
12. Introduction to Superconductivity, Michael Tinkham, McGraww Hill, INC, II Edition
Web links and Video Lectures (e-Resources):
LASER: https://www.youtube.com/watch?v=WgzynezPiyc
Superconductivity: https://www.youtube.com/watch?v=MT5Xl5ppn48
Optical Fiber: https://www.youtube.com/watch?v=N_kA8EpCUQo
Quantum Mechanics: https://www.youtube.com/watch?v=p7bzE1E5PMY&t=136s
Quantum Computing: https://www.youtube.com/watch?v=jHoEjvuPoB8
Physics of Animation: https://www.youtube.com/watch?v=kj1kaA_8Fu4
Statistical Physics Simulation: https://phet.colorado.edu/sims/html/plinko-probability/latest/plinko-
probability_en.html
NPTEL Supercoductivity:https://archive.nptel.ac.in/courses/115/103/115103108/
NPTEL Quantum Computing: https://archive.nptel.ac.in/courses/115/101/115101092
Virtual LAB:https://www.vlab.co.in/participating-institute-amrita-vishwa-vidyapeetham
Virtual LAB: https://vlab.amrita.edu/index.php?sub=1&brch=189&sim=343&cnt=1
Activity-Based Learning (Suggested Activities in Class)/Practical-Based Learning
http://nptel.ac.in
https://swayam.gov.in
https://virtuallabs.merlot.org/vl_physics.html
https://phet.colorado.edu
https://www.myphysicslab.com
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Laboratory Component:
Any Ten Experiments have to be completed from the list of experiments
Note: The experiments have to be classified into
a) Exercise
b) Demonstration
c) Structured Inquiry
d) Open Ended
Based on the convenience classify the following experiments into the above categories. Select at least one
simulation/spreadsheet activity.
List of Experiments:
1. Wavelength of LASER using Grating
2. Numerical Aperture using optical fiber
3. Four Probe Method
4. Transistor Characteristics
5. Charging and Discharging of a Capacitor
6. Photo-Diode Characteristics
7. Series & Parallel LCR
8. Magnetic Field at any point along the axis of a circular coil
9. Plank’s Constant using LEDs
10. Fermi Energy
11. Black Box
12. Energy gap of a given semiconductor
13. GNU Step Interactive Simulations
14. Study of motion using spread Sheets
15. Application of Statistic using Spread Sheets
16. PHET Interactive Simulations
(https://phet.colorado.edu/en/simulations/filter?subjects=physics&type=html,prototype)
COs and POs Mapping (Individual teacher has to fill up)
POs
COs
1 2 3 4 5 6 7 8 9 10 11 12
CO1 3 2 - - - - - - - - - 2
CO2 3 3 - - - - - - - - - 2
CO3 3 3 - - - - - - - - - 2
CO4 3 2 1 - 1 - - - - - - 2
CO5 3 2 1 - 2 - - 3 3 - - 2
Level 3- Highly Mapped, Level 2-Moderately Mapped, Level 1-Low Mapped, Level 0- Not Mapped
Note: The CO-PO mapping values are indicative. The course coordinator can alter the mapping using Competency and
Performance Indicators mentioned in the AICTE Exam reforms.
