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CME380 Automobile Engineering [PDF]

Anna University – CME380 Automobile Engineering Regulation 2021 Syllabus , Notes Book , Important Questions, Question Paper with Answers Previous Year Question Paper.

UNIT – I VEHICLE STRUCTURE AND ENGINES CME380 Automobile Engineering
Types of automobiles vehicle construction and different layouts, chassis, frame and body, Vehicle
aerodynamics (various resistances and moments involved), IC engines – components-functions and
materials, variable valve timing (VVT).
UNIT – II ENGINE AUXILIARY SYSTEMS 9
Electronically controlled gasoline injection system for SI engines, Electronically controlled diesel injection
system (Unit injector system, Rotary distributor type and common rail direct injection system), Electronic
ignition system (Transistorized coil ignition system, capacitive discharge ignition system), Turbo chargers
(WGT, VGT), Engine emission control by three way catalytic converter system, Emission norms (Euro and
BS).
UNIT – III TRANSMISSION SYSTEMS CME380 Automobile Engineering
Clutch-types and construction, gear boxes- manual and automatic, gear shift mechanisms, Overdrive, transfer
box, fluid flywheel, torque converter, propeller shaft, slip joints, universal joints, Differential and rear axle,
Hotchkiss Drive and Torque Tube Drive.
UNIT – IV STEERING, BRAKES AND SUSPENSION SYSTEMS 9
Steering geometry and types of steering gear box-Power Steering, Types of Front Axle, Types of
Suspension Systems, Pneumatic and Hydraulic Braking Systems, Antilock Braking System (ABS),electronic
brake force distribution (EBD) and Traction Control.
UNIT – V ALTERNATIVE ENERGY SOURCES 9
Use of Natural Gas, Liquefied Petroleum Gas, Bio-diesel, Bio-ethanol, Gasohol and Hydrogen in AutomobilesEngine modifications required –Performance, Combustion and Emission Characteristics of SI and CI engines
with these alternate fuels – Electric and Hybrid Vehicles, Fuel Cell Note: Practical Training in dismantling and
assembling of Engine parts and Transmission Systems should be given to the students.

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Previous Year Question Paper Click Here
Question Bank Click Here

TEXT BOOKS: CME380 Automobile Engineering notes
1. Jain K.K. and Asthana .R.B, “Automobile Engineering” Tata McGraw Hill Publishers, New Delhi, 2002.

2. Kirpal Singh, “Automobile Engineering”, Vol 1 & 2, Seventh Edition, Standard Publishers, New Delhi,
13th Edition 2014.

REFERENCES:
1. Ganesan V. “Internal Combustion Engines”, Third Edition, Tata McGraw-Hill, 2012.
2. Heinz Heisler, “Advanced Engine Technology,” SAE International Publications USA, 1998.
3. Joseph Heitner, “Automotive Mechanics,” Second Edition, East-West Press, 1999.
4. Martin W, Stockel and Martin T Stockle , “Automotive Mechanics Fundamentals,” The Good heart – Will
Cox Company Inc, USA ,1978.
5. Newton, Steeds and Garet, “Motor Vehicles”, Butterworth Publishers,1989.

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Important question news Notes question bank Question Paper R-2021 Syllabus UG syllabus 2021

AU3791 Electric and Hybrid Vehicles [PDF]

Anna University – AU3791 Electric and Hybrid Vehicles Regulation 2021 Syllabus , Notes Book , Important Questions, Question Paper with Answers Previous Year Question Paper.

UNIT I DESIGN CONSIDERATIONS FOR ELECTRIC VEHICLES AU3791 Electric and Hybrid Vehicles Notes
Need for Electric vehicle- Comparative study of diesel, petrol, hybrid and electric Vehicles.
Advantages and Limitations of hybrid and electric Vehicles. – Design requirement for electric
vehicles- Range, maximum velocity, acceleration, power requirement, mass of the vehicle.
Various Resistance- Transmission efficiency- Electric vehicle chassis and Body Design, Electric
Vehicle Recharging and Refuelling Systems.

UNIT II ENERGY SOURCES AU3791 Electric and Hybrid Vehicles Important Questions
Battery Parameters – Different types of batteries – Lead Acid- Nickel Metal Hydride – Lithium ionSodium based- Metal Air. Battery Modelling – Equivalent circuits, Battery charging- Quick
Charging devices. Fuel Cell- Fuel cell Characteristics- Fuel cell types-Half reactions of fuel cell.
Ultra capacitors. Battery Management System.

UNIT III MOTORS AND DRIVES 9
Types of Motors- DC motors- AC motors, PMSM motors, BLDC motors, Switched reluctance
motors working principle, construction and characteristics.

UNIT IV POWER CONVERTERS AND CONTROLLERS AU3791 Electric and Hybrid Vehicles Question paper
Solid state Switching elements and characteristics – BJT, MOSFET, IGBT, SCR and TRIAC –
Power Converters – rectifiers, inverters and converters – Motor Drives – DC, AC motor, PMSM
motors, BLDC motors, Switched reluctance motors – four quadrant operations –operating modes

UNIT V HYBRID AND ELECTRIC VEHICLES 9
Main components and working principles of a hybrid and electric vehicles, Different
configurations of hybrid and electric vehicles. Power Split devices for Hybrid Vehicles – Operation
modes – Control Strategies for Hybrid Vehicle – Economy of hybrid Vehicles – Case study on
specification of electric and hybrid vehicles.

Syllabus Click Here
Notes Click Here
Important Questions Click Here
Previous Year Question Paper Click Here
Question Bank Click Here

TEXT BOOKS:
1. Iqbal Husain, “ Electric and Hybrid Vehicles-Design Fundamentals”, CRC Press,2003
2. Mehrdad Ehsani, “ Modern Electric, Hybrid Electric and Fuel Cell Vehicles”, CRCPress,2005.

REFERENCES:
1. James Larminie and John Lowry, “Electric Vehicle Technology Explained “ John Wiley &
Sons,2003
2. Lino Guzzella, “ Vehicle Propulsion System” Springer Publications,2005
3. Ron HodKinson, “Light Weight Electric/ Hybrid Vehicle Design”, Butterworth Heinemann
Publication,2005.

 

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Important question news Notes question bank Question Paper R-2021 Syllabus UG syllabus 2021

AD3501 Deep Learning [PDF]

Anna University – AD3501 Deep Learning Regulation 2021 Syllabus , Notes Book , Important Questions, Question Paper with Answers Previous Year Question Paper.

UNIT I DEEP NETWORKS BASICS AD3501 Deep Learning Book
Linear Algebra: Scalars — Vectors — Matrices and tensors; Probability Distributions — Gradient-based
Optimization – Machine Learning Basics: Capacity — Overfitting and underfitting –Hyperparameters
and validation sets — Estimators — Bias and variance — Stochastic gradient descent — Challenges
motivating deep learning; Deep Networks: Deep feedforward networks; Regularization —
Optimization.

UNIT II CONVOLUTIONAL NEURAL NETWORKS AD3501 Deep Learning Syllabus
Convolution Operation — Sparse Interactions — Parameter Sharing — Equivariance — Pooling —
Convolution Variants: Strided — Tiled — Transposed and dilated convolutions; CNN Learning:
Nonlinearity Functions — Loss Functions — Regularization — Optimizers –Gradient Computation.

UNIT III RECURRENT NEURAL NETWORKS AD3501 Deep Learning Notes
Unfolding Graphs — RNN Design Patterns: Acceptor — Encoder –Transducer; Gradient Computation
— Sequence Modeling Conditioned on Contexts — Bidirectional RNN — Sequence to Sequence RNN
– Deep Recurrent Networks — Recursive Neural Networks — Long Term Dependencies; Leaky Units:
Skip connections and dropouts; Gated Architecture: LSTM.

UNIT IV MODEL EVALUATION AD3501 Deep Learning Important Questions
Performance metrics — Baseline Models — Hyperparameters: Manual Hyperparameter — Automatic
Hyperparameter — Grid search — Random search — Debugging strategies.

UNIT V AUTOENCODERS AND GENERATIVE MODELS AD3501 Deep Learning Question paper
Autoencoders: Undercomplete autoencoders — Regularized autoencoders — Stochastic encoders
and decoders — Learning with autoencoders; Deep Generative Models: Variational autoencoders –
Generative adversarial networks.

Syllabus Click Here
Notes Click Here
Important Questions Click Here
Previous Year Question Paper Click Here
Question Bank Click Here

TEXT BOOK AD3501 Deep Learning Book
1. Ian Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning”, MIT Press, 2016.
2. Andrew Glassner, “Deep Learning: A Visual Approach”, No Starch Press, 2021.

REFERENCES AD3501 Deep Learning Notes
1. Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun, “A Guide to
Convolutional Neural Networks for Computer Vision”, Synthesis Lectures on Computer Vision,
Morgan & Claypool publishers, 2018.
2. Yoav Goldberg, “Neural Network Methods for Natural Language Processing”, Synthesis Lectures
on Human Language Technologies, Morgan & Claypool publishers, 2017.
3. Francois Chollet, “Deep Learning with Python”, Manning Publications Co, 2018.
4. Charu C. Aggarwal, “Neural Networks and Deep Learning: A Textbook”, Springer International
Publishing, 2018.
5. Josh Patterson, Adam Gibson, “Deep Learning: A Practitioner’s Approach”, O’Reilly Media, 2017

 

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CS3491 Artificial Intelligence and Machine Learning [PDF]

CS3491 Artificial Intelligence and Machine Learning

CS3491 Artificial Intelligence and Machine Learning Study Materials

Anna University – CS3491 Artificial Intelligence and Machine Learning Regulation 2021 Syllabus , Notes , Important Questions, Question Paper with Answers Previous Year Question Paper.

UNIT I PROBLEM SOLVING CS3491 Artificial Intelligence and Machine Learning Syllabus
Introduction to AI – AI Applications – Problem solving agents – search algorithms – uninformed search
strategies – Heuristic search strategies – Local search and optimization problems – adversarial search
– constraint satisfaction problems (CSP)

UNIT II PROBABILISTIC REASONING CS3491 Artificial Intelligence and Machine Learning Notes
Acting under uncertainty – Bayesian inference – naïve bayes models. Probabilistic reasoning –
Bayesian networks – exact inference in BN – approximate inference in BN – causal networks.

UNIT III SUPERVISED LEARNING CS3491 Artificial Intelligence and Machine Learning Important Questions
Introduction to machine learning – Linear Regression Models: Least squares, single & multiple variables,
Bayesian linear regression, gradient descent, Linear Classification Models: Discriminant function –
Probabilistic discriminative model – Logistic regression, Probabilistic generative model – Naive Bayes,
Maximum margin classifier – Support vector machine, Decision Tree, Random forests

UNIT IV ENSEMBLE TECHNIQUES AND UNSUPERVISED LEARNING CS3491 Artificial Intelligence and Machine Learning Question Bank
Combining multiple learners: Model combination schemes, Voting, Ensemble Learning – bagging,
boosting, stacking, Unsupervised learning: K-means, Instance Based Learning: KNN, Gaussian mixture
models and Expectation maximization

UNIT V NEURAL NETWORKS CS3491 Artificial Intelligence and Machine Learning Question Paper
Perceptron – Multilayer perceptron, activation functions, network training – gradient descent
optimization – stochastic gradient descent, error backpropagation, from shallow networks to deep
networks –Unit saturation (aka the vanishing gradient problem) – ReLU, hyperparameter tuning, batch
normalization, regularization, dropout.

Syllabus Click Here
Notes Click Here
Important Questions Click Here
Previous Year Question Paper Click Here
Question Bank Click Here

TEXT BOOKS: CS3491 Artificial Intelligence and Machine Learning Notes

1. Stuart Russell and Peter Norvig, “Artificial Intelligence – A Modern Approach”, Fourth Edition,
Pearson Education, 2021.
2. Ethem Alpaydin, “Introduction to Machine Learning”, MIT Press, Fourth Edition, 2020.

REFERENCES: CS3491 Artificial Intelligence and Machine Learning Important Questions

1. Dan W. Patterson, “Introduction to Artificial Intelligence and Expert Systems”, Pearson
Education,2007
2. Kevin Night, Elaine Rich, and Nair B., “Artificial Intelligence”, McGraw Hill, 2008
3. Patrick H. Winston, “Artificial Intelligence”, Third Edition, Pearson Education, 2006
4. Deepak Khemani, “Artificial Intelligence”, Tata McGraw Hill Education, 2013
(http://nptel.ac.in/)
5. Christopher M. Bishop, “Pattern Recognition and Machine Learning”, Springer, 2006.
6. Tom Mitchell, “Machine Learning”, McGraw Hill, 3rd Edition,1997.
7. Charu C. Aggarwal, “Data Classification Algorithms and Applications”, CRC Press, 2014
8. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, “Foundations of Machine Learning”,
MIT Press, 2012.
9. Ian Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning”, MIT Press, 2016

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CE3481 Strength of Materials and Fluid Machinery Laboratory

CE3481 Strength of Materials and Fluid Machinery Lab

CE3481 Strength of Materials and Fluid Machinery Lab Study Materials

Anna University – CE3481 Strength of Materials and Fluid Machinery Lab Regulation 2021 Syllabus , Notes , Lab Manual, Viva Important Questions, Question Paper with Answers Previous Year Question Paper.

UNIT – I STRENGTH OF MATERIALS CE3481 Strength of Materials and Fluid Machinery Lab Syllabus

LIST OF EXPERIMENTS

1. Tension test on mild steel rod
2. Torsion test on mild steel rod
3. Hardness test on metal (Rockwell and Brinell Hardness)
4. Compression test on helical spring
5. Deflection test on carriage spring

UNIT – II FLUID MECHANICS AND MACHINES LABORATORY CE3481 Strength of Materials and Fluid Machinery Lab Manual

LIST OF EXPERIMENTS Viva Questions

1. (a) Determination of coefficient of discharge of a venturimeter
(b) Determination of friction factor for flow through pipes
2. (a) Determination of metacentric height
(b) Determination of forces due to impact of jet on a fixed plate
3. Characteristics of centrifugal pumps
4. Characteristics of reciprocating pump
5. Characteristics of Pelton wheel turbine

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Previous Year Question Paper Click Here
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COURSE OBJECTIVE:

1. To study the mechanical properties of metals, wood and spring by testing in laboratory.
2. To verify the principles studied in fluid mechanics and machinery theory by performing
experiments in laboratory.

OUTCOMES:

On completion of the course, the student is expected to be able to
1. Determine the tensile, torsion and hardness properties of metals by testing
2. Determine the stiffness properties of helical and carriage spring
3. Apply the conservation laws to determine the coefficient of discharge of a
venturimeter and finding the friction factor of given pipe
4. Apply the fluid static and momentum principles to determine the metacentric height
and forces due to impact of jet
5.
Determine the performance characteristics of turbine, rotodynamic pump and
positive displacement pump.

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BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY Regulation 2021 Anna University

BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY

BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY Regulation 2021 Anna University free download. PHYSICS AND CHEMISTRY LABORATORY Syllabus BS3171 pdf download free.

PHYSICS LABORATORY: (Any Seven Experiments)
COURSE OBJECTIVES:

???? To learn the proper use of various kinds of physics laboratory equipment.
???? To learn how data can be collected, presented and interpreted in a clear and concise manner.
???? To learn problem solving skills related to physics principles and interpretation of experimental
data.
???? To determine error in experimental measurements and techniques used to minimize such
error.
???? To make the student as an active participant in each part of all lab exercises. BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY
1. Torsional pendulum – Determination of rigidity modulus of wire and moment of inertia of
regular and irregular objects.
2. Simple harmonic oscillations of cantilever.
3. Non-uniform bending – Determination of Young’s modulus
4. Uniform bending – Determination of Young’s modulus
5. Laser- Determination of the wave length of the laser using grating
6. Air wedge – Determination of thickness of a thin sheet/wire
7. a) Optical fibre -Determination of Numerical Aperture and acceptance angle
b) Compact disc- Determination of width of the groove using laser.
8. Acoustic grating- Determination of velocity of ultrasonic waves in liquids.
9. Ultrasonic interferometer – determination of the velocity of sound and compressibility of
liquids
10. Post office box -Determination of Band gap of a semiconductor.
11. Photoelectric effect
12. Michelson Interferometer.
13. Melde’s string experiment
14. Experiment with lattice dynamics kit.

TOTAL: 30 PERIODS

COURSE OUTCOMES:

Upon completion of the course, the students should be able to
???? Understand the functioning of various physics laboratory equipment.
???? Use graphical models to analyze laboratory data.
???? Use mathematical models as a medium for quantitative reasoning and describing physical
reality. BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY
???? Access, process and analyze scientific information.
???? Solve problems individually and collaboratively.

CHEMISTRY LABORATORY: (Any seven experiments to be conducted)

COURSE OBJECTIVES:
???? To inculcate experimental skills to test basic understanding of water quality parameters, such
as, acidity, alkalinity, hardness, DO, chloride and copper.
???? To induce the students to familiarize with electroanalytical techniques such as, pH metry,
potentiometry and conductometry in the determination of impurities in aqueous solutions.
???? To demonstrate the analysis of metals and alloys.
???? To demonstrate the synthesis of nanoparticles

1. Preparation of Na2CO3 as a primary standard and estimation of acidity of a water sample
using the primary standard
2. Determination of types and amount of alkalinity in water sample.
– Split the first experiment into two
3. Determination of total, temporary & permanent hardness of water by EDTA method.
4. Determination of DO content of water sample by Winkler’s method.
5. Determination of chloride content of water sample by Argentometric method.
6. Estimation of copper content of the given solution by Iodometry.
7. Estimation of TDS of a water sample by gravimetry.
8. Determination of strength of given hydrochloric acid using pH meter. BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY
9. Determination of strength of acids in a mixture of acids using conductivity meter.
10. Conductometric titration of barium chloride against sodium sulphate (precipitation titration)
11. Estimation of iron content of the given solution using potentiometer.
12. Estimation of sodium /potassium present in water using flame photometer.
13. Preparation of nanoparticles (TiO2/ZnO/CuO) by Sol-Gel method.
14. Estimation of Nickel in steel
15. Proximate analysis of Coal

TOTAL : 30 PERIODS

COURSE OUTCOMES:
???? To analyse the quality of water samples with respect to their acidity, alkalinity, hardness and
DO.
???? To determine the amount of metal ions through volumetric and spectroscopic techniques
???? To analyse and determine the composition of alloys.
???? To learn simple method of synthesis of nanoparticles
???? To quantitatively analyse the impurities in solution by electroanalytical techniques

TEXT BOOK : BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY

1. J. Mendham, R. C. Denney, J.D. Barnes, M. Thomas and B. Sivasankar, Vogel’s Textbook of
Quantitative Chemical Analysis (2009).

Subject name PHYSICS AND CHEMISTRY LABORATORY
Subject Code BS3171
Semester 1
Regulation 2021 Regulation

BS3171 Syllabus PHYSICS AND CHEMISTRY LABORATORY Click Here To Download

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GE3171 Problem Solving and Python Programming Laboratory

 

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UG syllabus 2021

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Regulation 2021 Anna University

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Regulation 2021 Anna University free download. PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Syllabus GE3171 pdf download free.

COURSE OBJECTIVES:
???? To understand the problem solving approaches.
???? To learn the basic programming constructs in Python.
???? To practice various computing strategies for Python-based solutions to real world
problems.
???? To use Python data structures – lists, tuples, dictionaries.
???? To do input/output with files in Python.

EXPERIMENTS: GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY
Note: The examples suggested in each experiment are only indicative. The lab instructor is
expected to design other problems on similar lines. The Examination shall not be restricted
to the sample experiments listed here.
1. Identification and solving of simple real life or scientific or technical problems, and developing
flow charts for the same. (Electricity Billing, Retail shop billing, Sin series, weight of a
motorbike, Weight of a steel bar, compute Electrical Current in Three Phase AC Circuit, etc.)
2. Python programming using simple statements and expressions (exchange the values of two
variables, circulate the values of n variables, distance between two points).
3. Scientific problems using Conditionals and Iterative loops. (Number series, Number Patterns,
pyramid pattern)

4. Implementing real-time/technical applications using Lists, Tuples. (Items present in a
library/Components of a car/ Materials required for construction of a building –operations of
list & tuples)
5. Implementing real-time/technical applications using Sets, Dictionaries. (Language,
components of an automobile, Elements of a civil structure, etc.- operations of Sets & Dictionaries) GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY
6. Implementing programs using Functions. (Factorial, largest number in a list, area of shape)
7. Implementing programs using Strings. (reverse, palindrome, character count, replacing
characters)
8. Implementing programs using written modules and Python Standard Libraries (pandas, numpy. Matplotlib, scipy)
9. Implementing real-time/technical applications using File handling. (copy from one file to another, word count, longest word)
10. Implementing real-time/technical applications using Exception handling. (divide by zero error,
voter’s age validity, student mark range validation)
11. Exploring Pygame tool.
12. Developing a game activity using Pygame like bouncing ball, car race etc.

TOTAL: 60 PERIODS

COURSE OUTCOMES:

On completion of the course, students will be able to:
CO1: Develop algorithmic solutions to simple computational problems
CO2: Develop and execute simple Python programs.
CO3: Implement programs in Python using conditionals and loops for solving problems.
CO4: Deploy functions to decompose a Python program.
CO5: Process compound data using Python data structures.
CO6: Utilize Python packages in developing software applications.

TEXT BOOKS: GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY

1. Allen B. Downey, “Think Python : How to Think like a Computer Scientist”, 2nd Edition, O’Reilly
Publishers, 2016.
2. Karl Beecher, “Computational Thinking: A Beginner’s Guide to Problem Solving and
Programming”, 1st Edition, BCS Learning & Development Limited, 2017.

REFERENCES:

1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021.
2. G Venkatesh and Madhavan Mukund, “Computational Thinking: A Primer for Programmers and
Data Scientists”, 1st Edition, Notion Press, 2021.
3. John V Guttag, “Introduction to Computation and Programming Using Python: With Applications
to Computational Modeling and Understanding Data‘‘, Third Edition, MIT Press, 2021
4. Eric Matthes, “Python Crash Course, A Hands – on Project Based Introduction to Programming”,
2nd Edition, No Starch Press, 2019.
5. https://www.python.org/
6. Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill, 2018.

Subject name PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY
Subject Code GE3171
Semester 1
Regulation 2021 Regulation

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Click Here To Download

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GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Regulation 2021 Anna University

GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Regulation 2021 Anna University free download. PROBLEM SOLVING AND PYTHON PROGRAMMING Syllabus GE3151 pdf download free.

COURSE OBJECTIVES:

???? To understand the basics of algorithmic problem solving.
???? To learn to solve problems using Python conditionals and loops.
???? To define Python functions and use function calls to solve problems.
???? To use Python data structures – lists, tuples, dictionaries to represent complex data. GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING
???? To do input/output with files in Python.

UNIT I COMPUTATIONAL THINKING AND PROBLEM SOLVING 

Fundamentals of Computing – Identification of Computational Problems -Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart,
programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion). Illustrative problems: find minimum in a list, insert a card in a list of sorted
cards, guess an integer number in a range, Towers of Hanoi.

UNIT II DATA TYPES, EXPRESSIONS, STATEMENTS

Python interpreter and interactive mode, debugging; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points. GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

UNIT III CONTROL FLOW, FUNCTIONS, STRINGS

Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if-elif-else); Iteration: state, while, for, break, continue, pass; Fruitful functions: return values,
parameters, local and global scope, function composition, recursion; Strings: string slices, immutability, string functions and
methods, string module; Lists as arrays. Illustrative programs: square root, gcd, exponentiation, sum an array of numbers, linear search, binary search. GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

UNIT IV LISTS, TUPLES, DICTIONARIES 

Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters; Tuples: tuple assignment, tuple as return value; Dictionaries: operations and methods;
advanced list processing – list comprehension; Illustrative programs: simple sorting, histogram, Students marks statement, Retail bill preparation.

UNIT V FILES, MODULES, PACKAGES 

Files and exception: text files, reading and writing files, format operator; command line arguments, errors and exceptions, handling exceptions, modules, packages; Illustrative programs: word count,
copy file, Voter’s age validation, Marks range validation (0-100).

TOTAL : 45 PERIODS

COURSE OUTCOMES:

Upon completion of the course, students will be able to
CO1: Develop algorithmic solutions to simple computational problems.
CO2: Develop and execute simple Python programs.
CO3: Write simple Python programs using conditionals and looping for solving problems.
CO4: Decompose a Python program into functions.
CO5: Represent compound data using Python lists, tuples, dictionaries etc.
CO6: Read and write data from/to files in Python programs.

TEXT BOOKS: GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

1. Allen B. Downey, “Think Python: How to Think like a Computer Scientist”, 2nd Edition, O’Reilly Publishers, 2016.
2. Karl Beecher, “Computational Thinking: A Beginner's Guide to Problem Solving and programming”, 1st Edition, BCS Learning & Development Limited, 2017.

REFERENCES: GE3151 Syllabus PSPP

1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021.
2. G Venkatesh and Madhavan Mukund, “Computational Thinking: A Primer for Programmers and Data Scientists”, 1st Edition, Notion Press, 2021.
3. John V Guttag, "Introduction to Computation and Programming Using Python: With Applications to Computational Modeling and Understanding Data‘‘, Third Edition, MIT Press
2021 GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING
4. Eric Matthes, “Python Crash Course, A Hands – on Project Based Introduction to Programming”, 2nd Edition, No Starch Press, 2019.
5. https://www.python.org/
6. Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill, 2018.

Subject name PROBLEM SOLVING AND PYTHON PROGRAMMING
Subject Code GE3151
Semester 1
Regulation 2021 Regulation

GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Click Here To Download

GE3151 Notes PROBLEM SOLVING AND PYTHON PROGRAMMING

GE3151 Important Questions PROBLEM SOLVING AND PYTHON PROGRAMMING

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CY3151 Syllabus ENGINEERING CHEMISTRY Regulation 2021 Anna University

CY3151 Syllabus ENGINEERING CHEMISTRY

CY3151 Syllabus ENGINEERING CHEMISTRY Regulation 2021 Anna University free download. ENGINEERING CHEMISTRY Syllabus CY3151 pdf download free.

COURSE OBJECTIVES:
???? To inculcate sound understanding of water quality parameters and water treatment techniques.
???? To impart knowledge on the basic principles and preparatory methods of nanomaterials.
???? To introduce the basic concepts and applications of phase rule and composites.
???? To facilitate the understanding of different types of fuels, their preparation, properties and
combustion characteristics.
???? To familiarize the students with the operating principles, working processes and applications
of energy conversion and storage devices.

UNIT I WATER AND ITS TREATMENT 

Water: Sources and impurities, Water quality parameters: Definition and significance of-color, odour, turbidity, pH, hardness, alkalinity, TDS, COD and BOD, flouride and arsenic. Municipal water
treatment: primary treatment and disinfection (UV, Ozonation, break-point chlorination). Desalination of brackish water: Reverse Osmosis. Boiler troubles: Scale and sludge, Boiler corrosion, Caustic embrittlement, Priming &foaming. Treatment of boiler feed water: Internal treatment (phosphate, colloidal, sodium aluminate and calgon conditioning) and External treatment – Ion exchange demineralization and zeolite process.

UNIT II NANOCHEMISTRY CY3151 Syllabus ENGINEERING CHEMISTRY

Basics: Distinction between molecules, nanomaterials and bulk materials; Size-dependent properties (optical, electrical, mechanical and magnetic); Types of nanomaterials: Definition, properties and uses of – nanoparticle, nanocluster, nanorod, nanowire and nanotube. Preparation of nanomaterials: sol-gel, solvothermal, laser ablation, chemical vapour deposition, electrochemical deposition and electro spinning. Applications of nanomaterials in medicine, agriculture, energy, electronics and catalysis.

UNIT III PHASE RULE AND COMPOSITES

Phase rule: Introduction, definition of terms with examples. One component system – water system; Reduced phase rule; Construction of a simple eutectic phase diagram – Thermal analysis; Two component system: lead-silver system – Pattinson process.
Composites: Introduction: Definition & Need for composites; Constitution: Matrix materials (Polymer matrix, metal matrix and ceramic matrix) and Reinforcement (fiber, particulates, flakes and
whiskers). Properties and applications of: Metal matrix composites (MMC), Ceramic matrix composites and Polymer matrix composites. Hybrid composites – definition and examples.

UNIT IV FUELS AND COMBUSTION CY3151 Syllabus ENGINEERING CHEMISTRY

Fuels: Introduction: Classification of fuels; Coal and coke: Analysis of coal (proximate and ultimate), Carbonization, Manufacture of metallurgical coke (Otto Hoffmann method). Petroleum and Diesel:
Manufacture of synthetic petrol (Bergius process), Knocking – octane number, diesel oil – cetane number; Power alcohol and biodiesel. Combustion of fuels: Introduction: Calorific value – higher and lower calorific values, Theoretical calculation of calorific value; Ignition temperature: spontaneous ignition temperature, Explosive
range; Flue gas analysis – ORSAT Method. CO2 emission and carbon foot print.

UNIT V ENERGY SOURCES AND STORAGE DEVICES

Stability of nucleus: mass defect (problems), binding energy; Nuclear energy: light water nuclear power plant, breeder reactor. Solar energy conversion: Principle, working and applications of solar cells; Recent developments in solar cell materials. Wind energy; Geothermal energy; Batteries: Types of batteries, Primary battery – dry cell, Secondary battery – lead acid battery and lithium-ionbattery; Electric vehicles – working principles; Fuel cells: H2-O2 fuel cell, microbial fuel cell; Supercapacitors: Storage principle, types and examples.

TOTAL: 45 PERIODS

COURSE OUTCOMES CY3151 Syllabus ENGINEERING CHEMISTRY

At the end of the course, the students will be able:
???? To infer the quality of water from quality parameter data and propose suitable treatment methodologies to treat water.
???? To identify and apply basic concepts of nanoscience and nanotechnology in designing the synthesis of nanomaterials for engineering and technology applications.
???? To apply the knowledge of phase rule and composites for material selection requirements.
???? To recommend suitable fuels for engineering processes and applications.
???? To recognize different forms of energy resources and apply them for suitable applications in energy sectors.

TEXT BOOKS: CY3151 Syllabus ENGINEERING CHEMISTRY

1. P. C. Jain and Monica Jain, “Engineering Chemistry”, 17th Edition, Dhanpat Rai Publishing Company (P) Ltd, New Delhi, 2018.
2. Sivasankar B., “Engineering Chemistry”, Tata McGraw-Hill Publishing Company Ltd, New Delhi, 2008.
3. S.S. Dara, “A Text book of Engineering Chemistry”, S. Chand Publishing, 12th Edition, 2018.

REFERENCES:
1. B. S. Murty, P. Shankar, Baldev Raj, B. B. Rath and James Murday, “Text book of nanoscience and nanotechnology”, Universities Press-IIM Series in Metallurgy and Materials Science, 2018.
2. O.G. Palanna, “Engineering Chemistry” McGraw Hill Education (India) Private Limited, 2nd Edition, 2017.
3. Friedrich Emich, “Engineering Chemistry”, Scientific International PVT, LTD, New Delhi, 2014.
4. ShikhaAgarwal, “Engineering Chemistry-Fundamentals and Applications”, Cambridge University Press, Delhi, Second Edition, 2019.
5. O.V. Roussak and H.D. Gesser, Applied Chemistry-A Text Book for Engineers and Technologists, Springer Science Business Media, New York, 2nd Edition, 2013.

Subject name ENGINEERING CHEMISTRY
Subject Code CY3151
Semester 1
Regulation 2021 Regulation

CY3151 Syllabus ENGINEERING CHEMISTRY Click Here To Download

CY3151 Notes ENGINEERING CHEMISTRY 

CY3151 Important Questions ENGINEERING CHEMISTRY

CY3151 Question Bank ENGINEERING CHEMISTRY

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PH3151 Syllabus ENGINEERING PHYSICS Regulation 2021 Anna University

PH3151 Syllabus ENGINEERING PHYSICS

PH3151 Syllabus ENGINEERING PHYSICS Regulation 2021 Anna University free download. ENGINEERING PHYSICS Syllabus PH3151 pdf download free.

COURSE OBJECTIVES
???? To make the students effectively to achieve an understanding of mechanics.
???? To enable the students to gain knowledge of electromagnetic waves and its applications.
???? To introduce the basics of oscillations, optics and lasers.
???? Equipping the students to be successfully understand the importance of quantum physics.
???? To motivate the students towards the applications of quantum mechanics.

UNIT I MECHANICS
Multi-particle dynamics: Center of mass (CM) – CM of continuous bodies – motion of the CM – kinetic energy of system of particles. Rotation of rigid bodies: Rotational kinematics – rotational kinetic energy and moment of inertia – theorems of M .I –moment of inertia of continuous bodies –
M.I of a diatomic molecule – torque – rotational dynamics of rigid bodies – conservation of angular momentum – rotational energy state of a rigid diatomic molecule – gyroscope – torsional pendulum – double pendulum –Introduction to nonlinear oscillations.

UNIT II ELECTROMAGNETIC WAVES PH3151 Syllabus ENGINEERING PHYSICS
The Maxwell’s equations – wave equation; Plane electromagnetic waves in vacuum, Conditions on the wave field – properties of electromagnetic waves: speed, amplitude, phase, orientation and waves in matter – polarization – Producing electromagnetic waves – Energy and momentum in EM
waves: Intensity, waves from localized sources, momentum and radiation pressure – Cell-phone reception. Reflection and transmission of electromagnetic waves from a non-conducting mediumvacuum
interface for normal incidence.

UNIT III OSCILLATIONS, OPTICS AND LASERS
Simple harmonic motion – resonance –analogy between electrical and mechanical oscillating systems – waves on a string – standing waves – traveling waves – Energy transfer of a wave – sound waves – Doppler effect. Reflection and refraction of light waves – total internal reflection – interference –Michelson interferometer –Theory of air wedge and experiment.????Theory of laser – characteristics – Spontaneous and stimulated emission – Einstein’s coefficients – population inversion – Nd-YAG laser, PH3151 Syllabus ENGINEERING PHYSICS
CO2 laser, semiconductor laser –Basic applications of lasers in industry.

UNIT IV BASIC QUANTUM MECHANICS
Photons and light waves – Electrons and matter waves –Compton effect – The Schrodinger equation (Time dependent and time independent forms) – meaning of wave function – Normalization –Free particle – particle in a infinite potential well: 1D,2D and 3D Boxes- Normalization, probabilities and the correspondence principle.

UNIT V APPLIED QUANTUM MECHANICS PH3151 Syllabus ENGINEERING PHYSICS
The harmonic oscillator(qualitative)- Barrier penetration and quantum tunneling(qualitative)- Tunneling microscope – Resonant diode – Finite potential wells (qualitative)- Bloch’s theorem for particles in a periodic potential –Basics of Kronig-Penney model and origin of energy bands.

TOTAL : 45 PERIODS

COURSE OUTCOMES
After completion of this course, the students should be able to
???? Understand the importance of mechanics.
???? Express their knowledge in electromagnetic waves.
???? Demonstrate a strong foundational knowledge in oscillations, optics and lasers.
???? Understand the importance of quantum physics.
???? Comprehend and apply quantum mechanical principles towards the formation of energy
bands.

TEXT BOOKS: PH3151 Syllabus ENGINEERING PHYSICS

1. D.Kleppner and R.Kolenkow. An Introduction to Mechanics. McGraw Hill Education (Indian
Edition), 2017. ????
2. E.M.Purcell and D.J.Morin, Electricity and Magnetism, Cambridge Univ.Press, 2013.
3. Arthur Beiser, Shobhit Mahajan, S. Rai Choudhury, Concepts of Modern Physics, McGraw-Hill
(Indian Edition), 2017.

REFERENCES:
1. R.Wolfson. Essential University Physics. Volume 1 & 2. Pearson Education (Indian Edition),
2009.????
2. Paul A. Tipler, Physic – Volume 1 & 2, CBS, (Indian Edition), 2004.
3. K.Thyagarajan and A.Ghatak. Lasers: Fundamentals and Applications, Laxmi Publications,
(Indian Edition), 2019.
4. D.Halliday, R.Resnick and J.Walker. Principles of Physics, Wiley (Indian Edition), 2015.
5. N.Garcia, A.Damask and S.Schwarz. Physics for Computer Science Students. Springer-
Verlag, 2012.

Subject name ENGINEERING PHYSICS
Subject Code PH3151
Semester 1
Regulation 2021 Regulation

PH3151 Syllabus ENGINEERING PHYSICS Click Here To Download

Follow Us

Related Topic

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HS3151 Professional English – I Syllabus

MA3151 Matrices and Calculus Syllabus

CY3151 Engineering Chemistry

GE3151 Problem Solving and Python Programming

GE3171 Problem Solving and Python Programming Laboratory

BS3171 Physics and Chemistry Laboratory