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MA25C03 Transforms and its Applications

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Laplace Transforms: Existence conditions, Properties of Laplace transform, Laplace
transform of standard functions, derivatives and integrals, Unit step function and Dirac
delta function, Laplace transform of periodic functions; Inverse Laplace transform:
Partial fraction technique, Convolution theorem.
Application: Solution of second order ordinary differential equations using Laplace
transform. MA25C03 Transforms and its Applications
Activities: Compute the Laplace transform of time-domain functions, Inverse Laplace
transform, Solution of ordinary differential equations using Laplace transform.
Z-Transform: Z-transform of standard functions, properties; Inverse Z – transform: MA25C03 Transforms and its Applications Notes
Standard functions, Partial fraction technique, Convolution theorem.
Application: Solution of difference equation using Z – transform.
Activities: Compute the Z-transform of a discrete-time signal, Solution of linear
constant-coefficient difference equations using Z-transform.
Fourier Series: Dirichlet’s conditions, General Fourier series, Convergence of
Fourier series, Odd and even functions; Half range sine series, Half range cosine
series, Root mean square value, Parseval’s identity.
Application: Solution of one-dimensional wave and heat equation.
Activities: Compute Fourier coefficients, Reconstruct signal using Fourier series MA25C03 Transforms and its Applications Important Questions
(Partial sum), Plot convergence of Fourier series.
Fourier Transform: Complex Fourier transform, Properties, Relation between
Fourier and Laplace transform, Fourier sine and cosine transforms, Parseval’s
identity, Convolution theorem.
Application: Simple applications to solve partial differential equations using Fourier
transform. MA25C03 Transforms and its Applications Question Paper
Activities: Compute the Fourier and inverse Fourier transform, Parseval’s theorem
validation.

References: MA25C03 Transforms and its Applications Question Bank
1. Kreyszig, G. E. (2018). Advanced engineering mathematics. John Wiley & Sons
Ltd.
2. Grewal, B. S. (2021). Higher engineering mathematics. Khanna Publications.
3. Zill, D. G. (2022). Advanced engineering mathematics. Jones & Bartlett India Ltd.
4. Wylie, C. R., & Barrett, L. C. (2019). Advanced engineering mathematics. Tata
McGraw-Hill.
5. Duffy, D. G. (2017). Advanced engineering mathematics with MATLAB. CRC
Press.

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CY25C03 Applied Chemistry 2 (ME)

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Functional Materials: Types, Smart coatings, Mechanisms, Sustainable energy
materials.
Activities: Seminar on recent development in functional materials (e.g., smart
coatings, self-cleaning surfaces), Infographic Design of functional nanomaterials.
Fuels: Classification, Chemical Composition, natural resources, Calorific Value –
Alternative Fuels – Natural gas benefits.
Activities: Comparison of efficiency and emissions in fuels.
Composites: Matrix materials – Reinforcements, Hybrid composites, Engineering
applications. CY25C03 Applied Chemistry 2 Notes
Activities: Design of a simple composite structure for a real engineering application
(e.g., lightweight bike frame).
Lubricants: Types, Functions. Key properties, Synthetic lubricants, Mechanisms,
Emerging lubricants.
Activities: Collection of lubricants used in real-world engineering systems (e.g.,
gears, engines, bearings), Virtual demonstration of lubricant viscosity testing. CY25C03 Applied Chemistry 2 Important Questions
Combustion: Reaction Kinetics, Stoichiometric combustion and air-fuel ratio
calculations, Knocking and Anti-knocking agents, Hydrogen combustion, Flue Gas
analysis.
Activities: Virtual simulation of flue gas analysis and gas composition, Calculation
of air-fuel ratio. CY25C03 Applied Chemistry 2 Question Paper
Adhesives: Adhesion Mechanisms, Classification, Bond strength, Industrial
adhesives.
Activities: Adhesion of thermal pads on different Integrated circuits, Industrial
adhesives.

References: CY25C03 Applied Chemistry 2 Important Questions
1. Palanna, O. G. (2009). Engineering chemistry. McGraw-Hill Education (India)
Pvt. Ltd.
2. Cheong, K. Y., Impellizzeri, G., & Fraga, M. A. (2018). Emerging materials for
energy conversion and storage. Elsevier.
3. Jain, P. C., & Jain, M. (2013). Engineering chemistry. Dhanpat Rai Publishing
Company (P) Ltd.
Sharma, S. C. (2000). Composite materials. Narosa Publishing House

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IT25202 Digital Principles and System Design DPSD

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Boolean Algebra: Number Systems, Binary, Octal, Hexadecimal, Representation of
negative numbers, 1’s and 2’s Complements, Arithmetic Operations, Binary Codes.
Boolean Algebra, Theorems and Postulates, Functions, Truth Table, Logic Gates,
Universal gates
Practical:
1. Simple functions using gates
2. implementation of Boolean functions
Canonical Functions: Canonical and Standard Forms, Minterms and Maxterms, Sum of
Products and Product of Sums, Conversions and Expansion.
Practical: Simplification and expansion of standard Boolean functions
Karnaugh Map and Combinational Logic: Simplification of Boolean Functions, IT25202 Digital Principles and System Design Notes
Karnaugh Map, 2,3,4 variables, NAND / NOR Implementations, Combinational Circuits,
Arithmetic Circuits, Half and Full Adders, Subtractors. Introduction to HDL
Practical:
1. Implementation of combinational circuits using gates for arbitrary functions.
2. Implementation of Arithmetic circuits and extended operations.
Combinational Logic Design: Binary Parallel adder, Carry Look-ahead Adder, BCD
Adder, Binary multiplier, Magnitude Comparator, Code Converters, Decoder, Encoder,
Priority Encoder, Mux/Demux, Applications, Introduction to HDL and HDL for these circuits
Practical: IT25202 Digital Principles and System Design Important Questions
1. Combinational circuits using code converters.
2. BCD adder, encoder and decoder circuits.

Sequential Logic Design: R – S Latch, D Latch, Flip flops, SR, JK, T, D, Master /Slave
Flip Flop, Flip flop excitation tables, Analysis of clocked sequential circuits, Moore /Mealy
models, Registers, Shift Registers, Universal Shift Register. Counters, Asynchronous
Ripple Counters, Synchronous Counters- Ring Counter, Johnson Counter,
Practical: Design of a digital circuit for solving practical problems.

System Design: Memory Systems, RAM, ROM, Memory Decoding, error detection and IT25202 Digital Principles and System Design Question Paper
correction, Digital System Design using PROM, PLA , PAL, FPGA
Activities: Combination of in class & Flipped
Practical: DPSD Important Questions
1. Project demonstration and presentation
2. Mini project on the design of a digital circuit for solving practical problems.

References: IT25202 Digital Principles and System Design DPSD
1. Mano, M. M., & Ciletti, M. D. (2018). Digital design. Pearson Education.
2. Roth, C. H., Jr. (2003). Fundamentals of logic design. Jaico Publishing House.
3. Wakerly, J. F. (2007). Digital design principles and practices. Pearson Education.
4. Givone, D. D. (2003). Digital principles and design. Tata McGraw-Hill.
5. Kharate, G. K. (2010). Digital electronics. Oxford University Press.

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IT25201 Foundations of Data Science using Python

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Python Language Basics and Data Structures: Python Language Basics – Scalar
Types – Control Flow. Data Structures and Sequences: Tuple – List – Built-in Sequence
Functions – dict – set- List, Set, and Dict Comprehensions. Functions: Namespaces,
Scope, and Local Functions – Returning Multiple Values – Functions Are Objects – Files
and the Operating System.
Practical: IT25201 Foundations of Data Science using Python NOtes
1. Programs using Data Frames
2. Programs using functions and files 3.
Numpy Basics: The NumPy ndarray: A Multidimensional Array Object – Universal
Functions: Fast Element-Wise Array Functions – Array-Oriented Programming with
Arrays – File Input and Output with Arrays – Linear Algebra – Pseudorandom Number
Generation.
Practical: IT25201 Foundations of Data Science using Python Important Questions
1. Programs using numpy
2. Programs to solve linear algebra problems with numpy functions
Pandas Basics: Introduction to pandas Data Structures –Loading and Understanding
Data- Data aggregation for computing Descriptive Statistics- Data Cleaning and
Preprocessing
Practical: IT25201 Foundations of Data Science using Python Question Paper
1. Programs using numpy
2. Solving linear algebra problems

Data Loading, Storage, and File Formats: Reading and Writing Data in Text Format –
Binary Data Formats – Interacting with Web APIs – Interacting with Databases
Practical:
1. Data and Databases
2. Web APIs
Data Exploration: Data Transformation – String Manipulation. Data Wrangling: IT25201 Foundations of Data Science using Python NOtes
Hierarchical Indexing – Combining and Merging Datasets – Reshaping and Pivoting.
Practical:
1. String manipulations
2. Data wrangling

Data Wrangling: Data Aggregation and Group Operations: GroupBy Mechanics –
Data Aggregation – Apply: General split-apply-combine – Pivot Tables and CrossTabulation – Date and Time Data Types.
Practical: IT25201 Foundations of Data Science using Python Important Questions
1. Data aggregation operations
2. Handle time series data
Data Visualization: Introduction to Data Visualization- Visualizing categorical data,
visualizing time series data, Visualizing multiple variables -Visualizing Distribution
&Relationships -Multivariate and Time Series Visualization
exploration
Practical:
1. Visualization of Different kinds of Data
2. Distribution Analysis

References: IT25201 Foundations of Data Science using Python Question Paper
1. McKinney, W. (2017). Python for data analysis: Data wrangling with pandas,
NumPy, and IPython (Modules I–V). O’Reilly Media.
2. Mukhiya, S. K., & Ahmed, U. (2020). Hands-on exploratory data analysis with
Python. Packt Publishing.
3. VanderPlas, J. (2017). Python data science handbook: Essential tools for working
with data. O’Reilly Media.
4. Cielen, D., Meysman, A. D. B., & Ali, M. (2016). Introducing data science. Manning
Publications.
5. Ward, M. O., Grinstein, G., & Keim, D. (2015). Interactive data visualization:
Foundations, techniques, and applications. A. K. Peters/CRC Press.

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CS25C07 Object Oriented Programming OOps

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Principles of Object-Oriented Programming: Characteristics of object-oriented
languages, C++ Program structure, Procedure Oriented Programming vs Object
Oriented Programming, C++ constructs and syntax, tokens, variables, data-types, type
conversion, operators, Expressions, Namespace, flow Control and decision, making
statements.
Practical: CS25C07 Object Oriented Programming Notes
1. Simple programs to using Operators, and type conversion.
2. Programs using Conditional and Loop statements and loops.
Classes and Objects: Abstraction mechanism: Classes, Objects, member data,
member functions – Constructors and types – destructors, inline function, friend function
— array of objects, objects as function arguments – memory allocation for objects, static
members static data and static function.
Practical: CS25C07 Object Oriented Programming Important Questions
1. Programs using in-line and friend functions.
2. Programs using constructors and destructors
Inheritance and Compile Time Polymorphism: Inheritance: Derived Classes – Single
inheritance – Multilevel Inheritance – Multiple Inheritance – Hierarchical inheritance –
Hybrid inheritance. Operator Overloading: Compile time Polymorphism – Overloading
Functions, Overloading Operators, Overloading Unary Operators – Overloading Binary
Operators – Operator Overloading with Friend Functions.
Practical: CS25C07 Object Oriented Programming Question Paper
1. Programs for inheritance and its types.
2. Programs using friend function and operator overloading. 

Pointers and Runtime Polymorphism
Pointers with arithmetic operations – this pointer – Pointers to Derived classes and Base CS25C07 OOPs NOtes
classes – Compile time versus Runtime Polymorphism – Virtual functions – Late Binding
– Abstract classes- Pure virtual functions and Virtual Destructors – Virtual base class.
Practical: CS25C07 OOPs  Important Questions
1. Programs for pointer manipulation.
2. Programs for virtual functions.

Templates and Exception Handling
Class Templates – Function Templates – Overloading of Template Functions – String,
iterators, hashes, IO streams; Exception Handling.
Practical:
1. Programs using function and class templates.
2. Programs using exception handling.
I/O Systems and File I/O
C++ Streams – Formatted and Unformatted I/O –File stream classes – File modes – File
operations, Sequential Read / Write operations – Binary and ASCII Files – Error handling
in file I/O with member function.
Practical Activities
1. Programs for error handling in file and I/O management
2. Develop applications using OOP features.

References:
1. Deitel, P., & Deitel, H. (2024). C++ how to program: An objects-natural approach.
Pearson Education.
2. Bronson, G. (2011). A first book of C++. Course Technology Inc.
3. Balagurusamy, E. (2020). Object oriented programming with C++. McGraw Hill Education

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PH25C03 Applied Physics 2 (CSIE)

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Magnetic Materials: Parameters, Ferromagnetic materials, Ferrites – Soft and Hard
magnetic materials – GMR sensors – magnetic disk memories – Principle of magnetic
recording – Magnetic data storage.
Activities: Determination of Hysteresis loop for ferromagnetic materials.
Logic Gates: Conversion of Binary to decimal – decimal to binary – binary coded
decimal code-logic gates (OR, AND, NOT, NAND and NOR)–Exclusive OR gatesimplification based on basic Boolean theorems (sum of products, product of sums
expression)- simplification by Karnaugh Map method (don’t care conditions).
Activities: Virtual demonstration of Logic Gates.
Nano-Devices: Introduction – electron density in bulk material – size dependence of
Fermi energy-quantum confinement – quantum structures: quantum wells, wires and
dots – band gap of nanomaterials. Tunneling- Coulomb blockade – single electron PH25C03 Applied Physics 2 (CSIE) Notes
transistor – resonant-tunneling diode- Carbon nanotubes: Properties and applications.
Activities: Virtual demonstration of single electron transistor
Quantum Computing: Quantum system for information processing – quantum states –
classical bits – quantum bits or qubits – Bloch sphere -CNOT gate – Single and multiple
qubits – quantum gates (Pauli – X, Y and Z Gates, Hadamard Gate, Phase gate – T gate
.CNOT Gate) – advantage of quantum computing over classical computing. PH25C03 Applied Physics 2 (CSIE) Important Questions
Activities: Virtual demonstration of quantum computing

References:
1. Kasap, S. O. (2007). Principles of electronic materials and devices. McGraw-Hill
Education. PH25C03 Applied Physics 2 (CSIE) Question Bank
2. Bernhardt, C. (2019). Quantum computing for everyone. MIT Press.
3. Hanson, G. W. (2009). Fundamentals of nanoelectronics. Pearson Education.

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CS25C06 Digital Principles and Computer Organization DPCO [PDF]

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Digital Logic: Digital Systems, Integer Arithmetic, Addition and Subtraction of Signed
Numbers, Boolean Algebra, Theorems and Postulates, Functions, Truth Table, CS25C06 Digital Principles and Computer Organization Notes
Canonical and Standard Forms, Simplification using K-Maps, Digital Logic Gates,
Universal gates, Implementation of Logic Gates, Integrated Circuits.
Activities:
• Assignment on Karnaugh Map.
• Build logic circuits.
• Virtual demonstration of logical gates.
Computer System: Basic structure of a computer, Classes of Computer, Functional CS25C06 Digital Principles and Computer Organization Important Questions
units – Interconnection of components, Von Neumann architecture and Harvard
architecture – Instruction execution cycle, Performance metrics: MIPS, MFLOPS, CPI,
throughput.
Activities:
• MIPS, MFLOPS, and CPI calculations.
• Preparations of report on comparison of two CPU from different manufacturing. CS25C06 Digital Principles and Computer Organization Question Bank
Arithmetic and Logic Unit: Combinational Circuits: Adders, Binary Adder, Binary
Parallel Adder, Subtractor, Multiplexers, Decoders, Design of Fast Adder, Multiplication
of Signed and Unsigned Numbers, Fast Multiplication – Integer Division, Floating Point
Numbers and Operations, Booth’s algorithm for signed multiplication, Sequential CS25C06 Digital Principles and Computer Organization Question Paper
Circuits: Flip-Flops, Registers, Counters.
Activities:
• Virtual demonstration on Binary adder.
• Build a parallel order.

Processing and Pipelining: Instruction Set Architecture: RISC vs CISC, Addressing
modes, Hardwired control and Micro programmed control unit, Concepts of Pipelining,
Pipeline stages and Timing diagram, Hazards: Structural, Data and Control Hazards, CS25C06 DPCO Notes
Instruction-level parallelism, Parallel processing concepts: SIMD, MIMD, Superscalar
processors, Vector and Array Processor.
Activities: CS25C06 DPCO IQ
• Comparison of RISC-V and x86 ISAs; present findings on their relevance to AI
accelerators.
• Spot and resolve different types of pipeline hazards in given scenarios.

Memory: Memory hierarchy: Registers, Cache, Main Memory- RAM- ROM: PROM,
EPROM, EEPROM-Secondary storage, HDD, SSD, Cache Organization, Cache
replacement policies, NUMA- DMA- ECC.
I/O Systems
I/O Techniques: Programmed, Interrupt-Driven, DMA, I/O Devices and Interface
Standards: PCI, USB, SATA, Interrupt Types and Priority Handling, Buses and Bus
Arbitration, Peripheral Communication.
Activities:
● Virtual demonstration of DMA.
● I/O in Real AI Systems.

References:
1. Mano, M. M., & Ciletti, M. D. (2018). Digital design: With an introduction to the Verilog
HDL, VHDL, and System Verilog. Pearson.
2. Patterson, D. A., & Hennessy, J. L. (2012). Computer organization and design: The
hardware/software interface. Morgan Kaufmann.
3. Stallings, W. (2015). Computer organization and architecture: Designing for
performance. Pearson.

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ME25C05 Re-Engineering for innovation [PDF]

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Bootcamp 1: Introduction to Product Development, Reverse Engineering, Overview
of the product lifecycle, Hands-on disassembly of simple products, Practice of basic
measurements and sketching, Introduction to CAD modeling of disassembled parts,
Virtual assembly of parts.
Bootcamp 2: Embedded System Programming (Open-source platforms), Practice
of interfacing sensors, reading data, automation in home, healthcare and agriculture.
Reverse Engineering: Sketch and prototype alternative designs, Group
brainstorming sessions, Manufacture prototype parts using 3D printing and / or
workshop tools, Assemble prototype product.

References:
1. Wang, W. (2010). Reverse engineering: Mechanisms, structures, systems &
materials. CRC Press.
2. Margolis, M. (2020). Arduino cookbook: Recipes to begin, expand, and
enhance your projects. O’Reilly Media.

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EN25C02 English Essentials 2 [PDF]

Anna University Syllabus, Notes, Important Questions, Question Bank, Question Paper are available in Padeepz App

Communication: Types, Inter and Intra-personal, communication barriers,
Summarising visuals, media terminology, rhetorical devices and TED Talks.
Activities: Short presentation, Media based responses and Speeches, Error
detection, Welcome, Vote of Thanks and Formal Speeches, Listen and respond to
short podcast, Worksheets.
Correspondence: Modal Verbs, Job Application Letters, Resume Writing, EN25C02 English Essentials 2 Question paper
Statement of Purpose, Paraphrasing & Summarizing, Executive Summary.
Activities: Email writing, Submission of applications, Graphical summaries, Report
on college events.
Professional Writing: Paraphrasing & Summarizing, Executive Summary, EN25C02 English Essentials 2 Important Questions
Proposal, Decision Making, Recommendations.
Activities: Report preparation and recommendation letters.
Team Work: Team Leader, Quality of Team leader, Leadership model, Negotiations.
Activities: SWOT Analysis, Mock meetings, Group discussions, Brainstorming
sessions.

References: EN25C02 English Essentials 2 Notes
1. Koneru Aruna. (2020). English Language Skills for Engineers. McGraw Hill
Education.
2. Taylor, Shirley & Chandra .V. (2010). Communication for Business A
Practical Approach. India: Pearson Longman.
3. Ian Badger, et al., (2014). Listening: B2 (Collins English for Life: Skills),
Collins.
4. Raymond Murphy (2019), Grammar in Use, Cambridge University Press.

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