course structure for phd

Course Structure for PhD Department of Electronics Engineering

Page | 1

First Semester (Monsoon)

Sl.

No.

Designation Course

Code

Subject Name L-T-P Credit

1 DC-1 ECC500 Advanced Communication Theory 3-0-0 9

2. DC-2* ECC501 Advanced Optical Communication 3-0-0 9

3. DC-3* ECC582 Digital VLSI Circuits Design 3-0-0 9

4. DC-4* ECC580 Mathematical and Simulation Techniques 3-0-0 9

5. HSI500 Research and Technical Communication 3-0-0 S/X

*Option II: Sl. No. 1 to 4 and 6 courses offered in this semester [5thcourse will not be offered].

Second Semester (Winter)

Second Semester (Winter)

Sl. No. Designation Course Code Subject Name L-T-P Credit

1 DE-1 # # 3-0-0 9

2. DE-2 # # 3-0-0 9

3. DE-3/OE-1 # # 3-0-0 9

4. DE-4/OE-2 # # 3-0-0 9

5. DC-1 MANDATORY Research Methodology 3-0-0 9

Total Credit 45

# As decided by respective DSC.


Page | 2

LIST OF DEPARTMENTAL ELECTIVE COURSES

Course

Type Course

Code Name of the Courses L T P Credit

Departmental Elective-1

DE ECD 569 MOS Device Physics and Modeling 3 0 0 9

DE ECD 504 Computer Communication Networks 3 0 0 9

DE ECD520 Optoelectronic and Photonic Devices 3 0 0 9

DE ECD541 Microwave Measurements 3 0 0 9


DE ECD505 CAD for VLSI 3 0 0 9

DE ECD561 Advanced Signal processing

DE ECD531 Photonic Integrated Circuits 3 0 0 9

DE ECD508 Microwave Devices and Circuits


DE ECD560 Analog IC Design 3 0 0 9

DE ECD 562 Current Mode Analog Circuits 3 0 0 9

DE ECD503 Wireless Communication Systems 3 0 0 9

DE ECD502 Estimation and Detection Theory 3 0 0 9

DE ECD522 Nanophotonics 3 0 0 9

DE ECD514 Photonic Sensors 3 0 0 9

DE ECD540 Advanced Antenna Theory 3 0 0 9

DE ECD545 Advanced Engineering Electromagnetics 3 0 0 9

Departmental Elective- 4

DE ECD510 Quantum Computation 3 0 0 9

DE ECD521 Microwave Photonics 3 0 0 9

DE ECD525 Optical and Quantum Computation 3 0 0 9

DE ECD543 Radio Frequency Integrated Circuits 3 0 0 9

DE ECD542 Electromagnetic Interference & Compatibility 3 0 0 9

DE ECD544 Radar Engineering 3 0 0 9

DE ECD564 On-Chip Interconnects 3 0 0 9

DE ECD563 Low Power VLSI 3 0 0 9

DE ECD568 Nanoelectronics 3 0 0 9

OPEN ELECTIVE Open Elective-1

OE ECO500 Wireless Sensor Networks 3 0 0 9

OE ECO520 Optical Networks 3 0 0 9

OE ECO540 MIC and MMIC 3 0 0 9

OE ECO541 Computational Electromagnetics 3 0 0 9

OE ECO560 Test and Verification of VLSI Circuits 3 0 0 9

OE ECO506 Machine Learning 3 0 0 9

Open Elective-2

OE ECO501 Internet of Things 3 0 0 9

OE ECO521 Design and Analysis of Algorithms 3 0 0 9

OE ECO542 Advanced Microwave Measurement & Instrument 3 0 0 9

OE ECO543 Microwave Remote Sensing 3 0 0 9

OE ECO561 Embedded System Design 3 0 0 9


Page | 3

Third Semester (Monsoon)

Sl.

No.

Course

Code


1 ECC599 Thesis Unit 0-0-0 (S/X) 36

Fourth Semester (Winter)

Sl.

No.

Course

Code



Fifth Semester (Monsoon)

Sl.

No.

Course

Code



Sixth Semester (Winter)

Sl.

No.

Course

Code



Seventh Semester (Monsoon)

Sl.

No.

Course

Code



Eighth Semester (Winter)

Sl.

No.

Course

Code



Ninth Semester (Monsoon)

Sl.

No.

Course

Code




Page | 4

Tenth Semester (Winter)

Sl.

No.

Course

Code



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Page | 5

Course Type

Course Code

Name of Course L T P Credit

DC ECC 500 Advanced Communication Theory 3 0 0 9

Course Objective

The students will gain advanced knowledge on the physical layer mechanism of the various communication technologies.

Learning Outcomes

This knowledge will be very much helpful for the students to do the research work in academia and various industries like Qualcomm, Samsung and Intel etc.

Module No.

Topics to be Covered Lecture Hours

Learning Outcome

1 Geometric representation of signals, Gram-Schmidt Orthogonalization, Maximum likelihood procedure for detection of a signal in a AWGN channel, Probability of symbol error, union bound on the probability of error. representation of narrowband noise, properties of its in-phase and quadrature components.

7 Acquire an understanding of the basic probability and linear algebra applications for communications.

2 Advanced Digital Modulation techniques – QPSK, QAM, OQPSK, CPFSK, MSK, , GMSK, Power and bandwidth efficiency of different schemes. Noncoherent Orthogonal Modulation techniques.

10 Develop an understanding about the digital modulation techniques.

3 Carrier phase and symbol timing synchronization techniques. Spread Spectrum Modulation – DSSS and FHSS systems, CDMA of DSSS, applications of spread spectrum systems. Multicarrier communication – OFDM, DMT and their real-life application.

12 Understand the concept of multicarrier communication and multiuser communication.

4 Receivers for nonideal channel – signal distortion over a communication channel (linear distortion / distortion due to channel nonlinearities/multipath effects/fading), equalization techniques. Diversity techniques for reliable communication over a fading channel

10 Understand the concept of communication receivers with diversity.

Total 39

Textbook:

1. Proakis, John G., and MasoudSalehi. Digital communications. Vol. 4. New York: McGraw-hill, 2014.

Reference Books:

1. Haykin, Simon S. Digital communications. New York: Wiley, 2010.

2. Lathi, Bhagwandas P. Modern digital and analog communication systems. Oxford University Press, Inc.,

2018. 5th ed.


Page | 6

Course Type

Course Code


DC ECC501 Advanced Optical Communication 3 0 0 9

Course Objective

The objective of the course is to provide a thorough grounding in advance optical communications to address future needs of high data rate communications.

Learning Outcomes

At the end of the course, the student must be able to

Understand basic principles of light propagation and modal analyses of optical fiber.

Understand the basic operating principles of light sources, detectors.

Fiber Nonlinearities.

Understand coherent detection, Noises, Comparison of direct and coherent detection.

Design optical link, power penalty etc

Module No.


Learning Outcome

1 Ray theory and Mode theory of optical fibers, linearly polarized modes. Fiber- SMF, MMF, Attenuation and Dispersion in fibers; Special fibers.

12 Acquire an understanding of the modes and propagation characteristics of optical fibers

2 Brief overview of optical transmitter and optical receiver. Receiver Noise processes, BER measurement, Noise measurement for optical communication system, Optical Losses.

09 Develop an understanding about performance of optical transmitters and receivers

3 Optical Amplifiers, Optical Filters. 04 Understand the working of optical amplifiers and filters

4 Fiber Nonlinearities: Kerr effects, SPM, XPM, FWM. 04 Obtain the knowledge of various optical nonlinerities important for communication

5 Coherent detection: fundamental concept, comparison of direct and coherent detection, Noises formulations, On-off keying, PSK, DPSK, FSK generation and detection.

06 Understand the concept of coherent detection and various keying mechanisms

6 Optical transmission Link design, Power budget and rise time budget. WDM Systems.

04 Get an understanding of designing the complete transmission system and basics of WDM

Total 39

Textbook:

1. Optical Fiber Communication-principles and practice, J. M. Senior (Prentice hall of India),2014

Reference Books:

1. Optical Fiber Communications, Gerd Keiser, TMH, 4th Edition, 2011

2. Optoelectronics and Photonics, O S Kasap, Pearson, 2013


Page | 7

Course Type

Course Code


DC ECC 580 Mathematical and Simulation Techniques 3 0 0 9

Course Objective

The 5 modules of the course exposes the students to some of the popular tools required for optimization,

mathematical analysis, modeling and design through simulations.

Several commercial software use the various modules forming a part of this course.

Learning Outcomes

Upon successful completion of this course, students will:

Be able to use MonteCarlo simulations methods, which finds its application in most of the simulations

techniques, such as IC design, communication engineering and quantum mechanics to name a few.

Be able to pre-process, do feature extraction, and obtain different parameters from the given data.

Get a framework to compute performance metrics in networking and other similar problems.

Module No.


Learning Outcome

1 Introduction to the course, Filtering techniques for signal estimation, Monte Carlo simulation method, Fast computation of Transforms, Tutorials.

10 * A review of signal filtering methods will be known so that data handling in coming sections becomes easy. * Various transforms will be helpful in processing data smoothly.

2 Root finding techniques, Review of Solution of ordinary and partial differential equations, Numerical methods for solution of differential equations, Numerical integration methods, Tutorials.

10 * Students will learn to study a data, obtained from observations, and do the basic mathematical operations on them. *Different methods of differentiation and integration over data will be studied.

3 Introduction to Finite element method, Boundary point method, Finite difference methods, Discretization of differential equations, Tutorials.

10 * Students will learn to analyze and do a comparative study of data sets, in a closed form of applications.

4 Introduction to Variational technique, Finite Difference Time Domain method, Mode matching method, Tutorials.

10 * Students will learn to apply the above techniques in the domains of Microwave engineering.

5 Optimization Techniques, Queuing models. 10 * Various optimization algorithms will be known to students which can be easily applied to most of the engineering domain (specially Communication engg.).

Total 39

Textbook:

1. W. H. Press, S. A. Teukolsky, W. T. Vellerling and B. P.,Flannery.,"NumericalRecipes",Third edition,

Cambridge University Press, UK, 2007.

2. B.S. Grewal, "Higher Engineering Mathematics", 42nd Edition, Khanna Publishers, India, 2012.


Page | 8

Reference Books:

1. M. H. Hayes, "Statistical Digital Signal Processing and Modeling", Wiley India Pvt. Ltd.(student

edition), India, 2002.

2. E. Kreyszig, "Advanced Engineering Mathematics", 10th Edition, John Wiley, USA, 2011.

3. David Kincaid and Ward Cheney, "Numerical Analysis: Mathematics of Scientific Computing", 3rd

Edition, American Mathematical Society, USA, 2010.


Page | 9

Course Type

Course Code


DC ECC582 Digital VLSI Circuits Design 3 0 0 9

Course Objective

The course is designed to givethe student an understanding of the different design steps required to carry out digital VLSI (Very-Large-Scale Integration) design in silicon.

Learning Outcomes


This course covers basic theories and techniques of digital VLSI design in CMOS technology

In this course, we will study the fundamental concepts and structures of designing digital VLSI systems including CMOS

devices and circuits, CMOS design rules, static and dynamic logic structures, and VLSI architecture.

Module No.


Learning Outcome

1 Review of basic MOS structure, I-VCharacteristics, MOS as load, use of Si in VLSI; Sheet resistance of layers, area capacitance of layers, CMOS process flow, latch-up in CMOS inverter, short channel effects, design rules and layout.

8 Acquire an understanding of the basic design of building blocks of digital ICs in form MOSFETs and the different processes of their fabrication.

2 Inverter Properties: static nMOS, CMOS and BiCMOS inverters, design aspect, switching threshold and noise margin concepts and their evaluation, dynamic behavior, power consumption; MOSFET scaling - constant-voltage and constant-field scaling.

8 Develop skills to learn the ways of designing various circuits of digital IC with the help of above MOSFETs in form nMOS, CMOS and BiCMOS arrangements. Ways of changing the dimensions of device can be also learnt from here with its effects.

3 CMOS Combinational Logic: static CMOS design, pass transistor logic, dynamic logic, speed, power and noise in dynamic logic, cascading dynamic gates, domino logic, Sheet resistance of layers, area capacitance of layers, driving large capacitive loads, propagation delay models of cascaded pass transistors, wiring capacitances;

8 Understand the techniques of designing combinational digital circuits using different logic. Here knowledge can be also gain on different parameters and efficiency of designed ICs

4 CMOS Sequential Logic: static latches and registers, MUX based latches, S-R FF, dynamic latches and registers;

3 Ability to build various types of CMOS sequential circuits.

5 Clocking of Circuits: Classification of clocking schemes, clock distribution techniques, problems in single phase and two phase clocking;

3 Acquire knowledge in optimization of clock application techniques.

6 Subsystem Design: design of ALU building blocks such as adder and multiplier, area-time trade-off, power consumption; Semiconductor Memories: static RAM; dynamic RAM; ROM, flash memory

8 Develop abilities to apply the digital ICs in building efficient computing equipment. Also able to learn scheming all the types of Electronic memories.

Total 39

Textbook:

1. Sung-Mo Kang & Yusuf Lablebici, “CMOS Digital Integrated Circuits, Analysis &Design”, TMH Edition.

Reference Books:

1. John P. Uyemura, “Introduction to VLSI Circuits and Systems”, Wiley-India Edition.

2.David A. Hodges, Horace G. Jackson and Resve A. Saleh, “Analysis and Design of Digital Integrated Circuits in

deep submicron technology”, TMH Edition.


Page | 10

3. W.Wolf , “FPGA based System design”, Pearson.

4. D. A. Pucknell and Kamran Eshraghian, “Basic VLSI Design”, Kluwer Academic Publishers, 2017.


Page | 11

Course Type

Course Code


DC ECD 569 MOS Device Physics and Modeling 3 0 0 9

Course Objective

Builds the knowledge-base on the physics of MOS devices which is essential to understand the device characteristics which is

undoubtedly helpful to have a place in the semiconductor industry.

Provides the foundation for the use of device models in circuit analysis and design tools and motivation for life-long learning

Learning Outcomes


Learn to apply suitable approximations and techniques to derive the model starting from drift-diffusion transport equations.

The subject will also offer clues to qualitative understanding of the physics of a new device and conversion of this understanding

into equations

Module No.


Learning Outcome

1 Semiconductor theory: Evolution of semiconductors, energy band model, Fermi level, Fermi potential, generation and recombination, concept of quasi-Fermi level. Poisson’s equation, Transport and Continuity equations

5 This introduces the subject and emphasis on its need in semiconductor industry. Few fundamental concepts will also be developed which will be useful for understanding the other modules

2 MOS transistor structure and operation:Evolution of

MOSFET, Lilienfield Model, theory and operation,

punch through, MOS intrinsic and

extrinsiccapacitances, Large and small signal models,

SPICE model, source/drain resistance evaluation

5 The anatomy of a MOS structure will be discussed in this section, with emphasis on the physics and engineering issues

3 MOS capacitor: C-V characteristics, effect of metal work function, oxide and interface trapped charges, concept of accumulation, depletion and inversion with the help of energy band diagrams. Threshold voltage

8 Students here will gain a detailed understanding of a MOS capacitor which is the heart of the MOS device

4 MOSFET DC models: Pao-Sah model, charge sheet model, piece-wise linear model, models for depletion devices, carrier mobility models in deep-submicron and nanoscale dimensions, short geometry models

9 Various MOS DC models will be discussed in this module

5 Dynamic models: Intrinsic charges and capacitance, Meyer’s model, quasi-static and non-quasi-static model, low frequency modeling of MOS transistors, high frequency modeling of MOS transistors

8 This section deals with the AC models of a MOS device

6 SPICE MOSFET models: Level 1, 2, 3 and 4 models and their comparison. Statistical modeling: Model sensitivity, principal factor method, principal component analysis, regression models

4 Students here will come to know about few SPICE models which will help them to simulate MOS circuits in circuit simulators.

Total 39

Textbook:

1. N. D. Arora, MOSFET Models for VLSI Circuit Simulation, Springer-Verlag ● S.M. Sze & Kwok K.

Ng, Physics of Semiconductor Devices, Wiley

Reference Books:

1. Y. Taur and T.H. Ning, “Fundamentals of Modern VLSI Devices”, Wiley

2. M.S.Tyagi, “Introduction to Semiconductor Materials and Devices”, Wiley India Pvt.Ltd.

3. Y. P. Tsividis, “Operation and Modelling of the MOS Transistor”, McGraw-Hill. 3rd

Edition.


Page | 12

Course Type

Course Code


DC ECD504 Computer Communication Networks

3 0 0 9

Course Objective

This course examines the science underpinning computer communications, such as thebasic architectural principles of computer networking and specifically how the Internetworks today. Covered topics include data representation, how errors in transmission canbe detected and dealt with, the way information is routed over a large network, howcongestion can be avoided, aspects of network security.

Learning Outcomes

Understanding of the most important principles of how computer communication works

Understanding of protocols and ability to see it in an overall context of communication and the key securityissues

of computer communication

Be able to explain the most important standards inthe field of computer communication

Assess different solutions for computer networks

Be able to implement a simple object-orienteddistributed system.

Module No.


Learning Outcome

1 Computer Communication Networks - overview and introduction, The ISO reference Model, Network Topologies. Basics of queuing models, Connectivity and Delay Analysis

12 To understand the basic concepts

of communication and networks.

To understand the layered

architecture in data networks

To get the exposure of queueing in

data communication with analysis

in the connectivity and delays

2 The Physical Layer, Data Link Layer Protocol with Case Studies, Point-to-Point Networks. Routing and Flow Control, Packet Communication Technology, Packet Broadcasting, Terrestrial Networks, Local Area Networks, Mixed Media and Large-Scale Integrated Networks.

14 To get the exposure of protocols

in lower layers in data

communication

To understand the connectivity

and data transfer in different

networks with scale of integration

3 Transport and Session Layers, Presentation Layer Protocols and Data Link Layer Concepts of Distributed Systems, Computer Networks and a Distributed System.

07 To get the exposure of protocols

in upper layers in data

communication

To understand the concept of

distributed networks and the inter

connectivity among different

networks

4 Fibre Optic Network, Examples and Case Studies. 06 To understand the concept of

backbone networks

Total 39

Text book:

1. Nader F. Mir, “Computer and Communication Networks”, Prentice Hall, Dec 2014.

Reference books:

1. Kurose, Ross: Computer Networking - A Top-Down Approach 5th edition, Pearson (2010). 2. M Barry Dumas, Morris Schwartz, “Principles ofComputer Networks and Communications”, Pearson

Education, January 2012. 3. William Stallings, “Data and Computer Communication”, 10th Edition, Pearson Education, 2013. 4. ArshdeepBahga and Vijay Madisetti "Internet of Things: A Hands-on Approach", Universities Press,

2014


Page | 13

Course Type

Course Code


DC ECD520 Optoelectronic & Photonic Devices 3 0 0 9

Course Objective

The objective of the course is to provide fundamentals of different semiconductor optoelectronicdevices employed in lightwave systems and networks. The course will help students meet the demand of growing semiconductor optoelectronic industry and prepares them to advanced study and research in the semiconductor optics and optoelectronics devices.

Learning Outcomes


Understand the basic principles of optoelectronics.

Learn about the construction and working principle of high speed optoelectronics and photonics devices such as high speed laser diode MZI, MZM, EAM, and SOA for design of high speed communication system, microwave photonic system.

Module No.


Learning Outcome

1 Introduction: Distinction between electronic, optoelectronic and photonic devices; Electrical and optical bandwidth.

5 Acquire an understanding of the basics of optoelectonics

2 Semiconductor Detectors – Structure and noise analysis of PIN and APD detectors, Solar cells. Semiconductor Sources- LEDs, LDs (Double heterojunction, DFB, Quantum wire & dot).

12 Develop an understanding about principles of operation and performance of optical detectors and sources

3 Modulators – Electro-optic and magneto-optic. Semiconductor amplifiers.

6 Understand the working of semiconductor optical amplifiers and modulators

4 Photonic Devices: Fiber Amplifiers and Fiber Lasers. Optical Filters, Fiber Bragg grating (FBG) and its application as dispersion compensator and Add-Drop Multiplexer.

12 Obtain the knowledge of various fiber based devices and components like fiber amplifiers, lasers and fiber Bragg gratings

5 MZI and its applications. Optical Switches. 4 Understand the applications of MZI for modulation and switching

Total 39

Textbook:

1. Fundamentals of Photonics, B. E. A. Saleh and M. C. Teich, Wiley-India, 2007.

Reference Books:

1. Optoelectronics and Photonics, S. O.Kasap, Pearson, 2012.

2. Semiconductor Optoelectronic Devices, P. Bhattacharya ,Pearson, 2017


Page | 14

Course Type

Course Code


DC ECD541 Microwave Measurements 3 0 0 9

Course Objective

The course aims to present the different techniques for measurement and characterization of circuits and antennas for applications in the microwave frequency bands. The student will basically learn how to select the most appropriate instruments and components to organize a measurement setup for a given circuit/microwave property. Moreover, he/she will be able to conduct autonomously some standard measures.

Learning Outcomes


Understanding of setup the basic and some advanced microwave measurement setup for the characterization of active and passive devices.

have idea to find the permittivity and permeability of unknown materials.

be able to understand the working of different instruments like Vector Network Analyzer, Spectrum Analyzer, Power Meter, etc.

be able to measure the different antenna parameters.

Module No.


Learning Outcome

1 Review of measurement and instrumentation basics, Permittivity measurement (two-point method, cavity perturbation method, etc.), Permeability measurement, Measurement of Q factor (Loaded, unloaded and External Q factor), transmission line methods and resonance methods).

12

Understanding of microwave test bench setup and measurements of different material parameters such as permittivity and permeability. Idea to find out the Q-factor and its mathematical analysis.

2 Impedance (Double minima method, Smith Chart, Byrne Bridge, directional coupler method, Probe method), frequency and phase measurement, VSWR and power measurement

10 This unit will help student in understanding the Impedance calculation through Smith Chart. Furthermore, student will also learn the frequency, power and phase measurements.

3 Antenna measurement (Far Field measurement, Gain measurement, return loss and VSWR measurement).

5 Students will familiarize with different parameters of antenna and also learn the measurement setup to measure these parameters.

4 Vector network analyzer (VNA), Calibration techniques, passive and active circuit characterization using network analyzer, Spectrum analyzers, characteristic of spectrum analyzer.

12 Student will familiarize the working mechanism through internal structure of different state of art instruments. Understanding of relevant mathematical modelling with respect to these instruments.

Total 39

Text Books:

1. Handbook of Microwave Measurements, by Max Sucher, Jerome Fox, Volume: I, II, III, 1963.

Reference Books:


Page | 15

1. Electronics Measurements by Terman & Pettit, 2nd edition, 1952.

2. Dielectric Materials and Applications by A. R. Von Hippell, 1995.

3. Practical Radio frequency test and Measurement by Joseph J. Carr, 1st edition, 2002.

4. David Pozar, Microwave Engineering, 3rd edition, (Wiley, 2005).

5. Technical Notes/Application Notes of various devices


Page | 16

Course Type

Course Code


DC ECD505 CAD for VLSI 3 0 0 9

Course Objective

With this course students will learn the fundamentals of Computer-Aided Design (CAD) tools for the modeling, design, analysis, test, and verification of digital VLSI systems. This is a demanding topic for industries working in VLSI domain.

Learning Outcomes


Acquire knowledge about CAD tools used for digital VLSI design, digital logic simulation and physical

design, including test and verification.

Model digital systems at different levels of abstraction.

Simulate and verify a design.

Transfer a design from a version possible to simulate to a version possible to synthesize.

Develop understanding of FPGA CAD flow for design and implementation.

Module No.


Learning Outcome

1 Evolution of design automation; CMOS realizations of basic gates. Behavioral, structural and physical models, design flow, Types of CAD tools, introduction to logic simulation and synthesis.

8 Acquire an understanding of need and evolution of CAD tools for digitaldesign flow.

2 Syntax, hierarchical modeling, HDL construct, simulator directives, instantiating modules, gate level modeling, Event based and level sensitive timing control, memory initialization, conditional compilation, time scales for simulation.

11 Learnabout the basic syntax, hierarchical modeling style and event control using HDL.

3 Delay, switch level modeling, user defined primitive (UDP), memory modeling, Static timing analysis.

8 This unit helps the students to learn modeling of a digital hardware at transistor/switch level, modeling memory and analyze various timing problems usually occurred in a digital system.

4 Logic synthesis of HDL construct, technology cell library, design constraints, Synthesis of HDL construct, Various optimization techniques, design size.

7 This unit helps the students to understand synthesis of a digital hardware, various constraints required and various optimization techniques useful for synthesis.

5 Commercial FPGA architecture, LUTand routing architecture, FPGA CAD flow, Typical case studies.

5 Learn about FPGA architecture, CAD flow for FPGA based design.

Total 39

Textbook:

1. S. H. Gerez, “AlgorithmsforVLSIDesignAutomation”, John Wiley&Sons Publisher, 2nd Edition, 2008.

2. Z.Navabi, “Digital Design and Implementation with Field Programmable Devices”, 1stEdition,

KluwerAcademic Publishers, 2005.

Reference Books:

1. Samir Palnitkar, “Verilog HDL: A Guide to Digital Design and Synthesis”, 2ndEdition, Pearson

Publishers.


Page | 17

2. Giovanni De Micheli, “Synthesis and Optimization of Digital Circuits”, McGraw Hill Publisher,1994.

3. Naveed Shervani, “Algorithms for VLSI Physical Design Automation”, Springer International Edition,

3rd Edition, 2005.

4. WayneWolf, “FPGA-BasedSystemDesign”,PearsonPublisher,2004.


Page | 18

Course Type

Course Code


DE ECD561 Advanced Signal Processing 3 0 0 9

Course Objective

This course will provide the basic knowledge of discrete signal processing techniques.

Learning Outcomes

At the end of the course, the student must be able to apply these techniques in the research filed of wireless

communication, Image Processing, Speech Processing, audio processing etc.

Module No.


Learning Outcome

1 Introduction, review of basic signal processing operations, Filtering, Transforms, Fast computation of transforms.

5 * Basic signal handling techniques will be revisited. * Importance of filtering and transforms will be known.

2 Discrete-time Random Signals, Digital Processing of Analog Signals, Oversampled A/D Conversion – with and without noise shaping.

10 * Students will learn to process analog and discrete-time signals using discrete-time methods.

3 Equiripple FIR Filters, Signal Modelling, Spectrum Estimation, Optimum Filtering – FIR and IIR filters

* Advanced filtering techniques will be knowm

4 Stochastic process and models, Wold Decomposition, Yule Walker equations, Auto regressive process.

10 * Sochastic process and basic models for analyzing them will be learned.

5 Wiener filter, Adaptive filters(LMS, RLS, Kalman filters). 10 * Specific (most used) stochastic filters will be learned in this module.

6 Introduction to wavelet transform and its applications. 5 * students will be knowing basic of wavelet transforms which finds application in many modern applications(speech and audio processing, music processing, image processing etc.).

Total 39

Textbook:

1. Hayes, Monson H. Statistical digital signal processing and modeling. John Wiley & Sons, 2009.

Reference Books:

1. Oppenheim, Alan V., and Ronald W. Schafer. Discrete-time signal processing. Pearson Education, 2014.

2. Rao, Raghuveer M. Wavelet transforms: Introduction to theory and applications. Pearson Education

India, 1998.


Page | 19

Course Type

Course Code


DC ECD531 Photonic Integrated Circuits 3 0 0 9

Course Objective

The objective of the course is to provide a thorough grounding in Photonic Integrated Circuits to address future needs of high-speed optical interconnect.

Learning Outcomes


Design and analysis all types of optical waveguides for photonic integrated circuits.

Understand concept of photonic waveguide components and applications.

Learn fabrication and characterization technology.

Module No.


Learning Outcome

1 Introduction and requirement of PICs; Optical Waveguides: Planar slab waveguides, symmetric and asymmetric waveguides; rectangular waveguides, Marcatili’s method, Effective index method; graded index waveguides; loss in planar slab waveguide; Coupled mode theory and applications.

12 Acquire an understanding of the modes and propagation characteristics of optical waveguides.

2 Numerical techniques and simulation tools for analyzing PICs;

05 Understand about the Numerical methods for optical waveguides.

3 Photonic waveguide components and applications - couplers, multimode interference-based couplers, tapers, bends, y- branch, gratings, switches, polarizers, filters, resonators, multiplexer/demultiplexer, optical Integrated optical systems and applications, optical interconnects.

10 Understand the working principle of optical passive components and its applications

4 Technology: materials-glass, lithium niobate, silicon, compound semiconductors, polymers; fabrication techniques - lithography, ion-exchange, deposition, diffusion process, and device characterization, packaging and environmental issues.

08 Acquire an understanding of the material, fabrications and characterization of photonics componets/devices.

5 More recent developments in PICs 04 Acquire an understanding of recent developments in PICs as thermal optical switches for data centers.

Total 39

Textbook:

1. C R Pollock and M Lipson: Integrated photonics, Kluwer Academic Pub, 2003

Reference Books:

2. Govind P Agrawal: Lightwave technology: component and devices, John Wiley , 2004

3. Katsunari Okamoto: Fundamentals of Optical Waveguides Academic Press 2006


Page | 20

Course Type

Course Code


DE ECD508 Microwave Devices and Circuits 3 0 0 9

Course Objective

The course aims to make a bridge between the different practical requirements of communication in microwave frequency and design of microwave components & systems. So, students can understand the application domain of different microwave components which they study extensively.

Learning Outcomes

1. Understanding the design concept of various RF/Microwave devices. 2. Knowledge of Microwave Circuit Analysis and Impedance matching. 3. Understanding the behavior of non-linear RF/Microwave Devises. 4. Ability to design discrete RF/ Microwave Devices.

Module No.


Learning Outcome

1 Wilkinson power divider, Coupled line directional coupler, Lange coupler, Coupled line filter, Coupled resonator filter, Capacitive coupled filter.

15 Understanding of basic microwave power dividers and coupler though transmisson line concepts. Idea to find out the coupled lines and its mathematical analysis.

2 Tunnel diode, TRAPATT diode, pin diode, Varactor diode, Introduction to parametric amplifier, Manley-Rowe power relation, HEMT, HBT.

10 This unit will help student in basic components and its physics. Furthermore, student will also learn the application of these devices with its limitations such as frequency, power and phase.

3 Microwave detectors and mixers, Microwave amplifiers, Microwave oscillators.

5 Students will familiarize with different parameters of active components and also learn the synthesis of the mixer and amplifiers.

4 Reflex klystron, two cavity klystron, Helix TWT, Coaxial Magnetron, Inverted coaxial magnetron and linear magnetron.

12 Student will familiarize with fundamentals of the klystron and magnetron. Understanding of relevant mathematical modelling and physical desccriptions also.

Total 39

Text Book:

1. Microwave Engineering, by David M. Pozar, Wiley International, Fourth Edition, 2012. Reference Book:

1. Foundation of Microwave Engineering, by R. R. Collin, Wiley International, Second Edition, 2001.

2. Microwave Devices and Circuits, by Samuel Liao, 3rd edition, 1990.

3. Microwave devices, circuits and subsystems for communications engineering, by Ian A. Glover, Steve

Pennock, Peter Shepherd, 1st edition, 2007.


Page | 21

Course Type

Course Code


DC ECD560 Analog IC Design 3 0 0 9

Course Objective

The objective of the course is to present exclusively the Analog Integrated Circuits based on CMOS. It emphasizesthe understanding of the necessary knowledge in the subject and steps wise design aspect of VLSI design in Silicon.

Learning Outcomes


have a broad understanding of MOSFET models and its various important parameters.

have an in-depthunderstanding of actively loaded CMOSamplifiers.

have a broad understanding to tackle noise, effect of frequency,effect of non-ideality, and power aspect.

be able to design various operational amplifiers with reliable performance using voltage referencing circuit.

be able to design differential amplifiers and operational amplifiers effectively.

Module No.


Learning Outcome

1 Analog circuits in VLSI, overview of circuit performance comparison in BJT, BiCMOS, and CMOS; CMOS device fundamentals: Basic MOS Models, device capacitances, parasitic resistances, substrate models, transconductance, output resistance, CLM, body effect,fT, device parameters in subthreshold,noise.

7 This will help students to understand the principle of MOSFET, various effects, including speed,area, and noise.

2 Analog building blocks: MOS current mirror, cascade current mirrors, BW analysis of current mirrors, output impedance of CM, use of CM as active load,bandgap references (BGR)circuit, impact of device mismatch.

9 This unit will help students in understanding various types of CMs, their o/p imp.,andBW, including applications in IC.Importance and uses of BGR will also be evident.

4 Single stage amplifier (SSA) configurations, cascode stage, Transconductance amplifier, frequency response.

6 This unit will help students to calculate various SSA parameters like gain, transconductance, and BW.

5 Differential amplifiers with MOS Loads, device mismatch effects, frequency response of differential amplifiers, folded cascode amplifier, noise in differential amplifier.

7 This will help students to design less noisy and high CMRR differential amplifier.

6 Op-amp: Performance parameters, one &two-stage op-amps, pole-zero compensation, gain boosting, active compensation, input range, slew rate, noise in op-amp, Current mode circuits: introduction, internal structure, applications, Non-linear analog blocks: Comparators, charge pump circuits and multiplier; non-linearity cancellation in MOS circuits, noise in VLSI circuits, introduction to switched capacitor circuits.

10 In this unit, students will know about the design of complete operation amplifier by using knowledge gained in previous units.Moreover, student will get basic knowledge on nonlinear blocks, non-linearity cancellation and switched capacitor circuits

Total 39

Text Books:

1. Design of Analog CMOS Integrated Circuits, BehzadRazavi, McGraw Hill Indian, 2nd Edition ( 2017)

Reference Books:

1. CMOS Circuit Design: Layout and Simulation, R. Jacob Baker, Wiley IEEE Press, 3rd Edition (2010)

2. CMOS Analog Circuit Design, E. Allen & Douglas R. Holberg, Oxford Press Int. Edition, 3rd Edition

(2012)


Page | 22

Course Type

Course Code Name of Course L T P Credit

DE ECD562 Current Mode Analog Circuits 3 0 0 9

Course Objective

The objective of this course is knowthe advantage of current mode circuit over voltage mode counterparts, different analog building blocks based on current mode approach and their applications in signal processing circuit and VLSI design and engineering.

Learning Outcomes


Introduction and comparison of current mode circuits over voltage mode counterparts.

Trans-linear principle for current mode circuits along with concept of nullator and norator.

Properties of different current mode analog building blocks utilizing BJT & CMOS techniques.

Application of current mode approach in VLSI circuits.

Module No.


Learning Outcome

1 Introduction to current mode circuits: Introduction, comparison of current mode circuits with voltage mode circuits

4 Acquire an understanding of the current mode circuits and voltage mode circuits

2 Current mode circuits: Principle of operation, trans-linear principle, concept of nullator and norator, advantages, applications; Some current mode circuits: vector difference circuit, TL one quadrant squaring circuit, absolute value circuit, TL multiplier/divider.

6 Understand the fundamentals, characteristics and trans-linear principle of Current mode circuits

3 Some BJT and MOS based current mode Building blocks: CCI, CCII, CCCII, CCCII (-IR), OTRA, internal structures, principle of operation; port relationship, analysis and applications; Multi-output current conveyors: Construction, advantages, applications

11 Understand the functioning of BJT and MOS based current modeBuilding blocksand derive their characteristics withthereapplications.

4 Transconductance Amplifier: Internal structure and analysis, use of transconductance amplifier as variable resistance, inductance simulator, oscillator and filter,

10 Understand the functioning of OTA, deriving their characteristics and there applications as filters and oscillators.

5 Non-linear applications: Schmitt trigger, multiplier; Operational Mirror Amplifier(OMA): principle of operation, applications as voltage controlled current source, current controlled current source, voltage controlled voltage source, current controlled voltage source, high CMRR instrumentation amplifier.

8 Understand the use of current mode approach for designing and development of non-linear amplifiers.

Total 39

Textbook:

1. Analogue IC design : the current-mode approach by C. Toumazou, F.J. Lidgey& D.G. Haigh , Institution of Engineering and Technology, 2011.

Reference Books:

1. Current Feedback Operational Amplifiers and Their Applications, Senani, R., Bhaskar, D., Singh, A.K.,

Singh, V.K., Analog Circuits and Signal Processing, 2013.

2. Current-Mode VLSI Analog Filters: Design and Applications, Mohan, P.V. Ananda, Springer, 2003.

3. CMOS Current-Mode Circuits for Data Communications, Fei Yuan, Springer, 2007


Page | 23

Course Type

Course Code


DE ECD 503 Wireless Communication Systems 3 0 0 9

Course Objective

This course will provide the fundamental mechanism behind the wireless communication techniques (3G, 4G, 5G).

Learning Outcomes

At the end of the course, the student must be able to acquire knowledge on various wireless communication technologies which is very much helpful for academia research and Industries working in wireless communication technologies.

Module No.


Learning Outcome

1 Introduction and evolution of wireless and mobile radio communication system. Salient features of 2G, 3G and 4G Cellular networks, Cellular concept system design fundamentals, Frequency reuse, Handoff, Interference and system capacity, Trunking and Grade of Service, Improving coverage and capacity in cellular systems

8 Acquire an understanding of the basic cellular concept with capacity and handoff theory.

2 Mobile Radio Propagation- Large-Scale Path Loss: Introduction, Free Space Propagation Model, Log-distance Path Loss Model, Log-Normal Shadowing, Coverage area, Outdoor Propagation Models, Indoor Propagation Models

7 Develop an understanding about the large-scale propagation path-loss model.

3 Small Scale Fading and Multipath: Impulse Response Model of a Multipath Channel, Parameters of Mobile Multipath Channels, Types of Small-Scale Fading (Flat, Frequency-Selective, Fast, Slow Fading), Rayleigh and Ricean Fading

8 Understand the concept of small-scale fading of wireless communications.

4 Digital Modulation: Pulse Shaping Techniques, BPSK, DPSK, QPSK, Offset QPSK, π/4 QPSK, BFSK, MSK, GMSK, M-ary PSK, M-ary QAM. Derivation of Probability error.

10 Understand the concept of BER for wireless channel using various digital modulation techniques.

5 Introduction to MIMO OFDM Technique, with the concept of diversity and detection techniques.

6 Develop an under stationg about the MIMO based 4G technology.

Total 39

Textbook:

1. Rappaport, Theodore S. "Wireless communications: Principles and practice." (2002).

2. Goldsmith, Andrea. Wireless communications. Cambridge university press, 2005

Reference Books:

1. Tse, David, and PramodViswanath. Fundamentals of wireless communication. Cambridge university

press, 2005.


Page | 24

Course Type

Course Code


DE ECD 502 Estimation and Detection Theory 3 0 0 9

Course Objective

This course deals with the various estimation and detection techniques that are used in signal processing.

Learning Outcomes

At the end of the course, the student must be able to do research in the designing of estimation framework for the various signal processing applications.

Module No.


Learning Outcome

1 Gaussian variables and processes, Minimum variance unbiased estimation, Fisher information matrix, Cramer-Rao bound sufficient statistics, minimum statistics, complete statistics.

10 Acquire an understanding of the basic probability theory and unbiased estimator

2 linear models; best linear unbiased estimation; maximum likelihood estimation, invariance principle; estimation efficiency. Bayesian estimation, risk functions, minimum mean square error estimation, maximum a posteriori estimation; Discrete-Time Linear Bayesian estimation, stochastic approximation.

11 Develop an understanding about the concept of classical estimator and Bayesian Estimator.

3 signal detection and signal parameter estimation in discrete-time domain. Bayesian, minimax, and Neyman-Pearson detection; likelihood ratio, receiver operating characteristics, composite hypothesis testing. Locally optimum tests, detector comparison techniques, asymptotic relative efficiency.

10 Understand the concept of detection theory with hypothesis testing.

4 Matched filter detector and its performance; detection under colored noise, detection under Non-Gaussian Noise, generalized matched filter; detection of sinusoid with unknown amplitude, phase, frequency and arrival time

8 Understand the concept of detection theory for non-Gaussian noise scenario.

Total 39

Textbook:

1. Kay, Steven M. "Fundamentals of statistical signal processing, volume i: Estimation theory PTR

Prentice-Hall, Englewood Cliffs, 201

2. Kay, Steven M. "Fundamentals of statistical signal processing, Vol. II: Detection Theory." Signal

Processing. Upper Saddle River, NJ: Prentice Hall, 2010.

Reference Books:

1. Levy, Bernard C. Principles of signal detection and parameter estimation. Springer Science & Business

Media, 2008.


Page | 25

Course Type

Course Code


DE ECD522 Nanophotonics 3 0 0 9

Course Objective

The objective of the course is to provide the fundamental concepts of optical effects in nanoscale systems and coupled light-matter systems, particularly as they apply to semiconductor nanostructures and microcavities.

Learning Outcomes

On successful completion of this module, students will be able to:

Understand Basics of quantum mechanics and electrons in solids

Acquire the knowledge of principles of nanoplasmonics

Understand the principles and applications of the interaction of light with periodic nanostructures.

Module No.


Learning Outcome

1 Basics of quantum mechanics: quantum particles and EM wave, wavelengths and dispersion laws, density of states, uncertainty relation, wave function and Schrödinger equation, quantum particle in complex potentials. Wave mechanics and wave optics: propagation over wells and barriers, propagation through potential barriers, Evanescent waves and tunneling.

11 Acquire an understanding of the essential quantum mechanics

2 Electrons in solids (periodic structure): Bloch waves, electron band structure, Brillouin zones, quasi particles (holes, excitons, polaritons), defect states, quantum confinement effects, quantum wells, wires and dots. Semiconductor nanocrystals, electron-hole states, absorption spectra, luminescence, applications e.g., QD laser, nonlinear optics, electro-optical properties.

12 Develop an understanding about the behavior of electrons in solids and light matter interaction

3 Nano-plasmonics: optical properties and response of metal nanoparticles, size-dependent absorption and scattering, metal dielectric nanostructures, electromagnetic fields near metal nanoparticles, optical response of metal-dielectric core-shell nano-composites.

08 Understand the principles of nanoplasmonics

4 Light in periodic structure: concept of photonic crystals, Bloch waves and bandstructure in 1-D periodic structures, 3-D multilayer slabs, band gap and band structures in 2-D and 3-D lattices, multiple scattering theory of periodic structures, nonlinear optics and photonic crystal.

08 Obtain the knowledge periodic nanostructures and their optical properties

Total 39

Textbook:

1. Introduction to Nanophotonics, Sergey V. Gaponenko, Cambridge University Press, 2010.


Page | 26

Reference Books:

1. Fundamentals of Quantum Mechanics For Solid State Electronics and Optics, C. L. Tang, Cambridge

University Press, 2009.

2. Principles of Nano-Optics, Lukas Novotny and Bert Hecht, Cambridge University Press, 2012.

3. Principles of Nanophotonics,MotoichiOhtsu, Kiyoshi Kobayashi, Tadashi Kawazoe, Takashi Yatsui, and

Makoto Naruse, CRC Press, 2008.


Page | 27

Course Type

Course Code


DE ECD514 Photonic Sensors 3 0 0 9

Course Objective

The objective of the course is to deliver a concine introduction of optical fiber and optoelectronics sensors. Itprovide high sensitivity and detection accuracy along with the additional benefits of remote sensing, miniaturization, low cost and online monitoring. The objective of this course is to introduce the students the field of photonic sensors and its application.

Learning Outcomes


To describe the concept used in the designing of sensors.

To explain the working principle of various optoelectronic sensors.

To explain the applications of various types of optical sensors

Module No.


Learning Outcome

1. Introduction: Use of optical fiber as sensor. Sensing using optoelectronics. Advantages of fiber optic sensors, few examples. Intensity, phase and polarization based fiber optic sensors for measurement of temperature, pressure, strain, acceleration, displacement and velocity. Evanescent field absorption based sensors, different probing techniques and derivation of sensitivity in each cases. Characteristics and components of optical fiber sensors. Fibre types and materials for optical fibre sensing (silica based, polymer based, etc.). Intensity based Reagent mediated sensors for humidity, pH level etc. and their experimental set-ups.

12 Acquire an understanding fiber sensors.

2. Interferrometry based and FBG based sensing technology: LPG, SPG, microfibres/nanowires, Mach-Zhender, Sagnac, Michelson Interferrometers - Design, fabrication and characterization of sensors.

8 Get an understanding of the theory and concept of Interferrometry based and FBG based sensing technology.

3. Hydrogen leakage sensing in cryo engines. Fiber Optic Gyroscope for navigation application.

4 Learn about the Hydrogen leakage sensing.

4. Physics of plasmons, surface plasmons at semi-infinite metal-dielectric interface, excitation of surface plasmons, surface plasmon resonance (SPR) condition, Theory of SPR based optical fiber sensors, N-layer model, excitation by meridional rays: on axis excitation, performance parameters: sensitivity, detection of accuracy and figure of merit. SPR based FBG sensor.

8 Acquire an understanding of Physics of plasmons, SPR.

5. Electro-optic sensors and its applications. Micro-opto-electro-mechanical Systems (MOEMS): MOEM overview, MOEM scanners, MOEM technology and applications to telecom, CMOS compatible MOEMS, optics specific issues for MOEMS, micro-optics, automation and sensing, shape.

4 Acquire an understanding of Electro-optic sensors and its applications. Micro-opto-electro-mechanical Systems (MOEMS.

6. Principles and application of optical fibre sensors in medicine and life sciences, civil engineering, e.g. structural monitoring and aircraft navigation.

3 Learn about the optical fibre sensors in medicine and life sciences, civil engineering, e.g. structural monitoring and aircraft

Total 39

Textbook:

1. Fiber Optic Sensors – Principle and Applications by B. D. Gupta, New India Publishing Agency 2006.

Reference Book:


Page | 28

1. Fiber Optic Sensors, An Introduction for Engineers and Scientists edited by Eric Udd, William B.

Spillman, Jr., John, Wiley and Sons Inc. Publication 2011


Page | 29

Course Type

Course Code


DE ECD540 Advanced Antenna Theory 3 0 0 9

Course Objective

This course will enable the students to study Antennas/Antenna array & their characteristics and propagation patterns. It will expose students to application of particular antenna in particular communication system, and to make them aware of design guidelines and analysis of different

LearningOutcomes At the end of this module, students are expected to be able to 1) Recognize the different types of antennas & their utilization as required in different communication systems 2) Classify and analysis antennas with applications 3) Comprehend EM wave propagation effects & pattern in different media

Module No.


Learning Outcome

1 Introduction to Antenna: Antenna Types, Radiation mechanism, Fundamental parameters of Antennas. Radiation Integrals and Auxiliary Potential Functions: Vector Potential for Electric and magnetic Current Sources, Electric and Magnetic fields for Electric and Magnetic Current Sources, Solution of Inhomogeneous vector Potential Wave Equation, Far Field radiation, Duality Theorem, Reciprocity and Reaction Theorem.

10 This unit will help students to get information about different parameters of Antennas.

2 Wire and Loop Antenna: Infinitesimal dipole its radiation field, small dipole, finite length dipole, half wave length dipole, and their applications. Comparison of small loop with short dipole, Loop antenna radiation pattern its parameters and their application.

10 This unit will help students in understanding different single element antennas.

3 Antenna Array analysis and Synthesis: Linear arrays, Array of two and N- isotropic point sources, principle of pattern Multiplication, linear arrays of n elements, broadside, End-fire radiation pattern, directivity, Beamwidth and null directions, array factor. Mutual impedance between Linear Elements, Mutual Coupling in Arrays.

10 This unit will help students in understanding different array antennas.

4 Analysis of microstrip patch, slot antenna, analysis of aperture antenna and antenna array, Antenna RCS, and RCS reduction.

9 This will help in designing modern antennas.

Total 39

Text Book: 1. C. A. Ballanis , "Antenna Theory, Analysis and Design " , John Wiley & Sons, Third edition , 2005. Reference Books: 2. John D. Kraus and RonalatoryMarhefka, "Antennas and wave propagation", Tata McGraw-Hill Book Company, 2002. 3. E.C.Jordan and Balmain, "Electro Magnetic Waves and Radiating Systems", PHI, 1968, Reprint 2003.

4. L.V. Blake and M.W. long, “Antennas, Fundamentals, Design, Measurement” Third Edition, SciTech

publishing, 2009.


Page | 30

Course Type

Course Code


DC ECD 545 Advanced Engineering Electromagnetics 3 0 0 9

Course Objective

To familiarize the students with the basic electromagnetism and formulation of boundary value problem with respect to real time situation. The course prepares the first year PG students where the advance topics like rigours analysis of metallic and dielectric waveguide with Green’s function, application of EM theorems, wave solution and reflection and transmission of multiple interfaces will be covered, particularly those including an in depth description.

Learning Outcomes


able to solve challenging boundary value problems involving waveguide, stripline, cavity and scattering and radiation problems.

Understanding of the basic and advanced topics related to dieletric and metallic waveguide.

have idea to find the wave solution and reflection and transmission of multiple interfaces will be covered.

Module No.


Learning Outcome

1 Maxwell’s Equation, Circuit field relations, Boundary conditions, Power Energy and Time harmonic electromagnetic fields.

07

Understanding of basic electromagnetism and formulation of boundary value problem with respect to real time situation

2 Transverse EM modes, Uniform plane wave in unbounded lossless media, Principal axis, Oblique angle, Transverse EM modes in lossy media, Polarization, Reflection and transmission across an interface, Reflection and transmission of multiple interfaces

10 This unit will help student in understanding the wave solution and reflection and transmission of multiple interfaces, student will also learn the application of Polarization, Reflection and transmission of EM wave in real world problems.

3 Wave equation and solution, Auxiliary vector potential Construction of solution, Solution of inhomogeneous vector potential wave equations, Far field radiation and scattering equations with Antenna concept, Rectangular waveguides and its EM analysis, Partially filled waveguide, Transverse resonance method, Dielectric waveguide.

10

Students will able to solve challenging boundary value problems involving waveguide, stripline, cavity and scattering and radiation problems.

4 Duality theorem, Uniqueness theorem, Image theorem, Reciprocity theorem, Reactiontheorem, Volume equivalence theorem and Surface equivalence theorem.

06 Student will familiarize the different EM theroems and understanding of relevant mathematical analysis with respect to these theroems.

5 Duality Green’s function with integral transform techniques, Strum Liouville problems, Green function in closed and series form, Green’s identities and methods, Green’s functions of the scalar Helmholtz equation and Dyadic functions.

06 This unit will help student in understanding the Green’s function and its application in solve challenging real world problems.

Total 39

Text Books:

1. C A Balanis, ‘Advanced Engineering Electromagnetics’, John Wiley Sons, US, 2nd edition, 2012.

Reference Books:

1. R F Harrington, ‘Time Harmonic Electromagnetics Field’, John Wiley Sons and IEEE, USA, 2nd edition, 2001.

2. Magdy F. Iskander, Electromagnetic Fields and wave, Prentice Hall Publications. 3. David K. Cheng, Field and Wave Electromagnetics, Pearson Education Indian Learning Private Limited


Page | 31

Course Type

Course Code


DE ECD510 Quantum Computation 3 0 0 9

Course Objective

The objective of the course is to develop an understanding of the basic principles, techniques and applications of quantum computation.

Learning Outcomes

Upon successful completion of this course, students will: Understand the concept of quantum computing

Acquire an understanding of essential aspects of quantum mechanics

Get a knowledge of qubits, quantum logic gates, quantum algorithms and implementation

Know about the physical implementation of quantum computers

Unit No.


Learning Outcome

1 Introduction to quantum computation; Historical perspectives, Quantum bits, Quantum algorithms.

2 Acquire a basic understanding of the main concepts of the field

2

Introduction to quantum mechanics, Linear Algebra, Linear operators and matrices, Tensor product, Postulates of quantum mechanics, Density operator, Quantum measurement, Quantum entanglement, EPR and Bell’s inequality

8 Develop the necessary background knowledge of quantum mechanics needed for a thorough grasp of quantum computation

3

Quantum circuits, No-cloning theorem, Quantum teleportation, Single qubit operations, Controlled operations, Measurement, Universal quantum gates, Quantum circuit model of computation, Simulation of quantum systems

7 Understand the fundamental principles of quantum computation, and establish the basic building blocks for quantum circuits

4 Quantum Algorithms, Introduction. Quantum Parallelism. Deutsch's Algorithm. Deutsch-Jozsa Algorithm, Quantum search algorithms

7 Develop an understanding of quantum algorithms and the underlying techniques

5

Quantum Fourier transform. Quantum circuit for quantum Fourier transform. Quantum phase estimation. Factorization algorithms, General Applications of quantum Fourier transforms

7 Develop quantum Fourier transform, which is the key ingredient for quantum factoring and many other interesting quantum algorithms

6 Physical realisation of quantum computation, Harmonic oscillator quantum computer, Optical photon quantum computer. Solid-state quantum computer

3 Study the physical implementation of quantum computing devices

7 Quantum information, Entropy, Quantum noise and quantum operations, Quantum error-correction

6 Acquire basic knowledge about quantum information

Textbook:

2. Michael A. Nielsen and Issac L. Chuang, Quantum Computation and Quantum Information,

Cambridge University Press, 2010.


Page | 32

Reference Books:

3. N. David Mermin , Quantum Computer Science: An Introduction, Cambridge University Press (2007).

4. Phillip Kaye, Raymond Laflamme, Michele Mosca, An Introduction to Quantum Computing, Oxford

University Press, 2007.

5. A. Kitaev, A. Shen, M. Vyalyi, Classical and Quantum Computation, American Mathematical Society,

2002.


Page | 33

Course Type

Course Code


DE ECD 521 Microwave Photonics 3 0 0 9

Course Objective

The objective of the course is to provide microwave and optical technologies to overcome the limitation of microwave technology

Learning Outcomes


Explore the close interactions of lightwave and microwave and understand the physical principles of the hybrid field.

Learn and investigate the microwave photonics principles through a number of cutting-edge system applications ranging from high-speed fibre-wireless links to microwave photonic signal processing.

Module No.


Learning Outcome

1 Introduction to Microwave Photonics: An introductory overview, Advantages of Microwave photonics over conventional Microwave techniques. Photonic devices and its application at high frequency, Limitation of direct modulation at high frequency, Microwave photonic detectors

12 Acquire an understanding of microwave Photonics

2 Microwave photonic components: High speed Modulator. Electro-optic modulators: Biasing and transfer characteristic of Mach-Zehnder Modulator (MZM), Electro-absorption modulators, Fiber Bragg Grating filter, Semiconductor optical amplifier.

12 Understand about High speed Modulator. Electro-optic modulators, Biasing and transfer characteristic of Mach-Zehnder Modulator (MZM.

3 Microwave photonic systems: Introduction to Radio over fiber, Photonic microwave signal generation and processing, Optoelectronic microwave oscillator, Microwave photonic mixer, Microwave photonic filter, Terahertz signal generation and detection.

10 Understand the working principle of radio over fiber, Photonic microwave signal generation and processing, filter.

4 Microwave photonics in instrumentation and measurement: Photonic approach of microwave frequency measurement.

05 Acquire an understanding of photonic approach of microwave frequency measurement.

Total 39

Textbook:

1. Microwave Photonics: Devices and Applications by Stavros Iezekiel John Wiley & Sons, Ltd 2009.

Reference Books:

1. Optoelectronics and Photonics, O S Kasap (Pearson publication) Semiconductor Optical Amplifiers,

2013

2. Semiconductor optical amplifiers, second edition by N.K Dutta , Q. Wang January 2013


Page | 34

Course Type

Course Code


DE ECD 525 Optical and Quantum Computation 3 0 0 9

Course Objective

The objective of the course is to provide a modern understanding of light as a quantum phenomenon, and explore how quantum applications such as quantum communications and quantum sensing are developed using quantum nature of light.

Learning Outcomes


have an overview of the field of quantum optics

be able to formulate and treat mathematical descriptions of basic quantum optical phenomena

develop the basic idea of quantum computation

Module No.


Learning Outcome

1. Quantum theory of light: quantization of the electromagnetic field, evolution of the field operators, quantum states of light, Quantum information processing.

4 Acquire an understanding of the basic concept of quantum optics

2. Photon sources and detectors: Mathematical model of photodetectors, physical implementations of photodetectors, single-photon sources, entangled photon sources, quantum non-demolition photon detectors.

5 Get an understanding of the single photon and entangled photon sources and detectors

3. Quantum communication with single photons: photons as information carriers, quantum teleportation and entanglement swapping, decoherence-free subspaces for communication, quantum cryptography. Quantum computation with single photons.

6 Learn about quantum communication and computation using photons

4. Quantum communication with continuous variables: phase space in quantum optics, continuous-variable entanglement, teleportation and entanglement swapping, entanglement distillation, quantum cryptography.

5 Acquire an understanding of entanglement, quantum teleportation and cryptography

5. Quantum computation with continuous variables. Quantum treatment of linear optics, Quantum light by non-linear optical processes, signatures of quantum behaviour, light-matter interaction, Quantum memories.

6 Have a knowledge of light-matter interaction and quantum memories

6. An ensemble of identical two-level atoms, electromagnetically induced transparency, quantum memories and quantum repeaters, the atomic ensemble of a single qubit, photon-photon interactions via atomic ensembles.

8 Acquire the information about atomic ensembles and their applications

7. Solid-state quantum information carriers: Definition and optical manipulation of solid-state qubits, interactions in solid-state qubit systems, entangling two qubit operations, scalability of solid-state devices.

5 Develop and understanding of the manipulation of qubits

Total 39


Page | 35

Text book:

1. P. Lambropoulos and D. Petrosyan, Fundamentals of Quantum Optics and Quantum Information,

Springer 2007

Reference books:

1. L. Mandel and E. Wolf, Coherence and Quantum Optics, Cambridge Univ. Press 1995.

2. M. O. Scully and S. Zubairy, Quantum Optics, Cambridge university Press, 1997


Page | 36

Course Type

Course Code


DC ECD543 Radio Frequency Integrated Circuits 3 0 0 9

Course Objective

The objective of the course is to present an introduction to Radio Frequency Integrated Circuits, with an emphasis on how to design - efficiently, and effectively – a RFIC.

LearningOutcomes


have a broad understanding of design and challenges of architecture of RF transceiver.

have a high-level understanding of design of LNA.

have a high-level understanding of design of RF Power Amplifier.

have a high-level understanding of design of RF Mixer.

have a high-level understanding of design of RF Oscillator.

Module No.


Learning Outcome

1 Fundamentals of RF circuits and systems: Duplexing, FDMA, dB, dBm, Voltage gain, Channel, ACR, AACR, Noise factor, NF of a cascaded system, Sensitivity, HD, Gain compression, P1dB, Cross modulation, Inter modulation, IM3, IIP3, SFDR, Transmit mask.

7 This unit will help students to get information about different parameters of RF circuits.

2 Transmitter and Receiver architectures: Review of modulation schemes, Receiver architectures, Transmitter architectures Passive and active components for CMOS RFIC: Review of MOSFET, RF transistor layout, CMOS process, Capacitors, Varactors, Resistors, Inductors, Transformers, Transmission lines Resonance, Matching, S-parameters, etc. Noise in electrical circuits and NF calculations, Two port noise theory.

7 This unit will help students in understanding the steps to design RF Transceivers.

3 Low Noise Amplifiers: Resistive terminated CS and CG LNA, Inductive degenerated LNA, Shunt feedback LNA, Noise canceling LNAs, Linearity improvement techniques.

6 This will help in designing LNAs.

4 Power Amplifiers: Basics and Class A, B, C, D, E, F and other configurations, Power combining, Linearity improvement techniques.

6 This will help in designing RF Power Amplifiers.

5 Mixers: Specifications, NL system as a mixer, Active mixers, Passive mixers.

6 This will help in designing RF Mixers.

6 Oscillators: Introduction, LC Oscillators, Phase noise, Introduction to PLLs; Type-I PLLs, Charge pump PLLs: Mathematical model, Design issues and Phase noise, Frequency synthesizers: Integer N synthesizers, Dividers.

8 This will help in designing RF Oscillators.

Total 39

Text Books:

1. RF Microelectronics by BehzadRazavi, Pearson, Second Edition.

Reference Books:

1. Microwave Transistor Amplifier, Analysis and Design by Gullermo Gonzalez, Prentica Hall, Second Edition


Page | 37

Course Type

Course Code


DE ECD542 Electromagnetic Interference & Compatibility 3 0 0 9

Course Objective

This course is designed to familiarize the students with different concepts related to EMI and EMC. At the end of the course the students will have the knowledge required to design an electromagnetically compatible system.

Learning Outcomes

At the end of the course the student able to learn the concepts of Real-world EMC design

Designing electronic systems that function without errors or problems related to electromagnetic

compatibility

Diagnose and solve basic electromagnetics

Module No.


Learning Outcome

1 Introduction of EMI & EMC, Aspects of EMC, Common EMC units, CISPR & FCC limits, measurement of conducted and radiated emission, Antenna factor, Additional product requirements, Design Constraints for products, Advantages of EMC design, Spectra of digital waveforms, Time domain analysis of transmission lines, High speed digital interconnects and signal integrity, Lumped circuit approximate models, Non-ideal behavior of components (wires, PCB boards, leads, resistors, capacitors, inductors) , ferromagnetic materials and ferrite beads, common-mode chokes, Electromechanical devices, Digital circuit devices, Effect of component variability, Mechanical switches.

12 Students will be familiarized with the basics concepts of EMI and mandatory requirements to be fulfilled by a system to be EMC. They will understand the non-ideal behaviour of components and able to design digital clocks for a high speed system.

2 Power supply filters, conducted susceptibility, Simple emission models for wires and PCB lands, Simple susceptibility model for wires and PCB lands, Three conductor transmission lines and crosstalk, Electrostatic discharge, The transmission-line equations for lossless lines, The per-unit-length parameters, The inductive-capacitive coupling approximate model, Lumped-circuit approximate model, Shielded wires, Twisted wires.

17 Students will be familiarized with the four basic methods of EMI – radiated emission, conducted emission, crosstalk, and ESD. They will understand how to design a system to reduce EMI via these processes.

3 Shielding effectiveness for far field and near field sources, Low frequency magnetic field shielding, Effect of apertures, Different ground systems, System configuration and design.

10 Students will understand how to design a shield for a RF system and place differentcomponets of the system in a PCB.

Total 39

Text Book:

1. Clayton R. Paul, ‘Introduction to Electromagnetic Compatibility’, Wiley – India, 2nd edition, 2010.

Reference Books:

1. Engineering Electromagnetic Compatibility: Principles, Measurements, and Technologies, by V. Prasad Kodali

, Wiley-IEEE Press Home , 2nd edition, 2001

2. Electromagnetic Compatibility Engineering by Henry W. Ott , 1st edition, 2009.

3. Electromagnetic Compatibility of Integrated Circuits: Techniques for low emission and susceptibility, by Sonia

Ben Dhia, Mohamed Ramdani, Etienne Sicard, 1st Edition, 2006.


Page | 38

Course Type

Course Code


DE ECD544 Radar Engineering 3 0 0 9

Course Objective

This course is designed to familiarize the students with the different kinds of radar systems and their operations. It will also provide different concepts related to radar detection and radar signal processing to the students. At the end of the course the students will be able to understand the operation of radar systems and they will be able to work on more complex modern radar systems

Learning Outcomes


Acquired knowledge about Radar and Radar Equations.

Understanding the working principal of MTI and Pulse Doppler Radar.

Foster ability to work using Detection of Signals in Noise and Radio Direction Finding.

Foster ability to work using Instrument Landing System.

Module No.


Learning Outcome

1 Radar fundamentals, Derivation of range equation, the search radar equation, Jamming and radar range with jamming, Radar clutter and radar range with clutter, Radar range with combined interferences sources. Noise and false alarms, Detection of one sample of signal with noise, Integration of pulse trains, Detection of fluctuating targets, CFAR, Optimum and matched filter Theory, Loss factors in detection. Definition of radar cross section, Radar cross section of simple and complex objects, spatial distribution of cross section, Bistatic cross section.

10

Understanding of fundamental of Radar and Radar Equations. Also familiar with the concept of RCS and its analysis.

2 CW and FM Radar: Doppler Effect, CW and FMCW Radar, Airborne Doppler Navigation, Multi frequency CW Radar. Delay lines and line cancellors, Subclutter Visibility. MTI using range gates and filters, Pulse Doppler radar, Non-coherent MTI radar.

10

This unit will help student in understanding the working principal of MTI, Pulse Doppler and other types of Radar.

3 Application of Digital signal processing to radar system. Different types of tracking techniques, tracking in range, tracking in Doppler, Search Acquisition radar, Comparison of Trackers. Height finding radars, Air traffic control Radars and data handling, Atmospheric effects of radar, Electromagnetic compatibility aspects, Airborne Radars, Synthetic Aperture Radar, Secondary surveillance Radars, LTIR..

10

Students will able to understand different tracking techniques along with various kind of real world applications of RADAR technology.

4 Matched filter receiver, detection criteria, detectors, integrators, constant-false-alarm rate receiver, basic radar measurement, ambiguity diagram, pulse compression, target recognition, surface-clutter, land clutter, sea clutter, weather clutter, detection of targets in clutter, ECM and ECCM.

9

Student will familiarize the reciver operations and understanding of relevant mathematical analysis along with measurement.

Total 39

Text Books:

1. Modern Radar System Analysis, By David Barton .K - Artech House, 1st edition, 1988..

Reference Books:

1. Radar Design Principles Signal Processing and The Environment, By Fred NathansonMcgraw Hill, 1969.

2. Introduction to Radar systems, By Skolnik - Mcgraw Hill, 3rd edition, 2002.

3. Radar Fundamentals, By Ian Faulconbridge, Argos Press Hill, 1st edition, 2002.


Page | 39

Course Type

Course Code Name of Course L T P Credit

DE ECD564 On-Chip Interconnects 3 0 0 9

Course Objective

To provide in depth knowledge of interconnect modeling and performance analysis; introduction and analysis of futuristic material based interconnects such GNRs, CNTs and so on

Learning Outcomes


quantify the significance of interconnects in IC Design

understand the role of repeaters

get an insight on Transmission line parameters of VLSI interconnects

understand the novel solutions on interconnects

Module No.


Learning Outcome

1 Moore’s Law, Technological trends, ITRS; Interconnect dimensions, 3D-interconnect, definition of pitch, concept of sheet resistance as applicable for interconnects; Aluminum interconnects, fabrication techniques, Electromigration, Hillock formation, Junction Spiking; Copper Interconnect and low-k dielectric materials. Damascene process, Electroplating and CMP

7 This section introduces the subject and marks the importance of the subject in semiconductor industry, with emphasis on the fabrication aspects.

2 Interconnect resistance and capacitance; Distributed model of interconnect, single and multi rung ladders, RC time delay, Elmore’s delay; Local and Global interconnect, interconnect length prediction – Rent’s rule and parameters; Interconnect scaling (local and global): ideal, quasi-ideal, constant-R, constant dimension.

8 This module emphasizes on how to cope with interconnect parcitics which impose severe restrictions in circuit performance. The students will also come to know the importance of scaling, as applicable to interconnects.

3 Analytical model of delay using lumped and distributed parameters; Repeater design and optimization.

5 This section focuses on the delay models of interconnects and methods for its improvement, with emphasis on repeater design.

4 Inductive parasitic: Effect of inductance, transmission line model of interconnects; skin effect and its influence on resistance and inductance; Output drivers, reduced-swing circuits and advance interconnect techniques.

6 This section deals with the qualitative and quantitative visualization of interconnects as transmission lines

5 Cross-Talk: Theoretical basis of modeling cross-talk, capacitive and inductive matrix, power distribution noise

6 Students here will come to know about cross-talk and methods for minimizing the same

6 Emerging on-chip interconnects: CNT, Graphene, optical interconnects and so on

7 This deals with the emerging materials that can be used as on-chip interconnects.

Total 39

Textbook:

1. H. B. Bakoglu, “Circuits, Interconnections, and Packaging for VLSI”, Addison-Wesley Publishing Company

2. Jan M. Rabey, A. Chandrakasan and B. Nikolic , “Digital Integrated Circuits – A design perspective”, PHI. 3. Sung-Mo Kang & Yusuf Lablebici, “CMOS Digital Integrated Circuits, Analysis & Design”, TMH Edition..

Reference Books:

1. High-Speed VLSI Interconnects, Ashok K. Goel, John Wiley & Sons, 2007.

2. Selected journal papers/IEEE.


Page | 40

Course Type

Course Code


DE ECD563 Low Power VLSI 3 0 0 9

Course Objective

This course deals with the design issues of low power circuits in digital perspective. In this course, MOS transistor modelling is emphasized for low power applications. After completing this course the students would have thorough knowledge of modelling of various MOS parameters and SPICE simulation for low power applications, correlation analysis in DSP systems, Monte Carlo simulation and low power memory design.

Learning Outcomes

Upon successful completion of this course, students will be able to: ● analyze the need for low power VLSI circuits ● understand dynamic and static power dissipation and factors affecting them ● recognize role of simulation possible at various levels of design ●define relationship of probability while calculating power dissipation of circuits ●apply Power reduction techniques possible at circuit, logic level ●analyze Clock as a major source of power dissipation and distinguish various methods to reduce it.

Module No.


Learning Outcome

1 Introduction: Need for low power VLSI chips, Sources of power dissipation on Digital Integrated circuits. Emerging Low power approaches. Device & Technology Impact on Low Power: Dynamic dissipation in CMOS, Transistor sizing & gate oxide thickness, Impact of technology Scaling, Technology & Device innovation.

6 Acquire an understanding of the fundamental concepts of Low Power VLSI design.

2 Simulation Power analysis: SPICE circuit simulators, gate level logic simulation, capacitive power estimation, static state power, gate level capacitance estimation, architecture level analysis, data correlation analysis in DSP systems, Monte Carlo simulation. Probabilistic power analysis: Random logic signals, probability & frequency, probabilistic power analysis techniques, signal entropy.

9

Understand how to do various types of Power analysis techniques.

3 Low Power Circuits: Transistor and gate sizing, network restructuring and Reorganization. Special Flip Flops & Latches design, high capacitance nodes, low power digital cells library. Logic level: Gate reorganization, signal gating, logic encoding, state machine encoding, pre-computation logic.

8 Develop the skill to design various Low power VLSI system building blocks.

4 Low power Architecture & Systems: Power & performance management, switching activity reduction, parallel architecture with voltage reduction, flow graph transformation, low power arithmetic components.

8 Develop the skill to design Low power architecture and systems.

5 Low power Clock Distribution: Power dissipation in clock distribution, single driver Vs distributed buffers, Zero skew Vs tolerable skew, chip & package co design of clock network. Special Techniques: Power Reduction in Clock networks, CMOS Floating Node, Low Power Bus Delay balancing, and Low Power Techniques for SRAM.

8

Develop the skill to design Low power clock distribution schemes.

Textbook:

● G. K.Yeap, Farid N. Najm, “Low Power VLSI design and technology”, World Scientific Publishing, 1996.

● Gary K.Yeap, “Practical Low Power Digital VLSI Design”, Kluwer Academic Press, 1998.

● Kaushik Roy, Sharat Prasad, “Low-Power CMOS VLSI Circuit Design”, Wiley, 2009.


Page | 41

Reference Books:

● A. P. Chandrakasan, R. W. Broderson, “Low Power Digital VLSI Design”, IEEE Press, 1998.

● Jan M. Rabaey, Massoud Pedram, “Low power Design methodologies”, Kluwer Academic Press, 1996.

● Michael Keating, David Flynn “Low Power Methodology Manual for System On-Chip Design”, Springer

Publication 2007.


Page | 42

Course Type

Course Code


DE ECD568 Nanoelectronics 3 0 0 9

Course Objective

The objective of the course is to develop an understanding of physical background and applications of nanoelectronics. The course will cover the basic concepts required for understanding the working of novel devices, transport phenomena in nanostructures. It will introduce to the fabrication of nanostructures, and the characterization tools. Some important devices including resonant-tunneling devices, single electron transistors etc. will be discussed

Learning Outcomes


acquire a knowledge of the fundamentals required for nanoelectronics.

develop the understanding of the working of some important nanoelectronic devicesalong with the fabrication

and characterization techniques.

Module No.


Learning Outcome

1. Trends in nanoelectronics, Characteristic lengths in mesoscopic systems,Essentials of Quantum Mechanics, Semiconductor heterostructures, Quantum wells, wires and dots

5 Acquire an understanding of the basic concept of nanostructures

2. The Physics of Low-Dimensional Semiconductors: Basic properties of two-dimensional semiconductor nanostructures, Density of states in lower dimensions, classical and quantum statistics of particles

8 Get an understanding of the fundamentals of lower dimensional semiconductors

3. Tunnelling transport: Transfer matrix approach, Tunnelling through a potential barrier, Kronig Penney model, WKB method, applications of tunneling, Schottky barrier, field emission, hot electron effects in MOSFETs

10 Learn about the basic tools for tunneling transport and their applications

4. Classical and semiclassical transport, ballistic transport through a quantum wire, Landauer formula, quantum resistance and conductance

5 Acquire an understanding of the semiclassical and quantum transport in nanostructures

5. Nanoelectronic devices, Resonant tunneling devices, single electron transfer devices, Field effect transistors, LEDs and lasers

8 Have a knowledge of some of the important nanoelectronic devices

6. Fabrication techniques for nanostructures: Lithography, split-gate technology, self-assembly, Characterization of nanostructures

4 Acquire the information about the fabrication and characterization techniques for nanostructures

Total 40

Textbook:

1. Fundamentals of Nanoelectronics, George. W. Hanson, Pearson Prentice Hall (2008)

Reference Books:

1. Introduction to Nanoelectronics, V.V. Mitin, V. A. Kochelap and M. A. Stroscio, Cambridge

University Press (2007)

2. The Physics of Low-dimensional Semiconductors: An Introduction, John Davies, Cambridge

University Press (1997).

3. Quantum Transport: Atom to Transistor, SupriyoDatta, Cambridge University Press (2005).

http://www.google.co.in/search?hl=en&biw=1440&bih=719&q=inauthor:%22Michael+A.+Stroscio%22&sa=X&ei=3sV1TYzZNM3hrAe_8Km_Cg&ved=0CBwQ9Ag


Page | 43

Course Type

Course Code


OE ECO500 Wireless Sensor Networks 3 0 0 9

Course Objective

This course is required to understand the basic WSN technology and supporting protocols, with emphasis placed on standardization basic sensor systems and provides a survey of sensor technology. This will also provide the understanding of the Sensor management, sensor network middleware, operating systems.

Learning Outcomes

Students are able to understand and explain the concept of ad-hoc and sensor networks, their applications and

typical node and network architectures.

Students are able to understand and explain protocol design issues (especially energy-efficiency) and protocol

designs for wireless sensor networks.

Students are able to critique protocol designs in terms of their energy-efficiency

Students are able to set up and evaluate measurements of protocol performance in wireless sensor networks.

Module No.


Learning Outcome

1 Introduction: Basics of wireless networks. 6 Acquire an understanding of the basic of wireless networks

2 Wireless Sensor Networks: History, properties, medium access control, routing, energy efficiency, topology management, coverage, congestion and flow control, quality of service, resource allocation, scheduling, security, multimedia transmission, mobile sensor networks, applications.

11 Develop an understanding about the routing protocol with topology management for wireless sensor networks.

3 Wireless Mesh Networks: Evolution, medium access control, channel assignment, routing, transport protocols, congestion control, scalability, mobility management, applications.

11 Understand the concept of wireless mess networks

4 Vehicular Ad Hoc Networks: Introduction, applications and their classification, VANET communication stack, medium access control, routing, security, mobility models, vehicular sensor networks.

11 Understand the concept of Vehicular Ad Hoc Networks

Total 39

Textbook:

1. Daniel Minoli, TaiebZnatiKazemSohraby, “Wireless Sensor Networks: Technology, Protocols and

Applications”, Wiley, 2010.

Reference Books:

1. H. Karl and A. Willig, “Protocols and Architectures for Wireless Sensor Networks”, Wiley Publishers,

2005.

2. Abbas Jamalipour Jun Zheng, “Wireless Sensor Networks: A Networking Perspective”, Wiley-

Blackwell, 2009


Page | 44

Course Type

Course Code


OE ECO520 Optical Networks 3 0 0 9

Course Objective

Course Philosophy:

An optical network is a type of data communication network built with optical fiber technology. It utilizes optical fiber

cables as the primary communication medium for converting data and passing data as light pulses between sender and

receiver nodes. The course will give the student in-depth understanding of the functionality of optical networks and how

they may be implemented. How an optical network can work together with an IP-based network infrastructure for ensuring

both high reliability and performance in access, metro and transport networks, is paid special attention.

The topics covered includes building blocks for optical networks and systems, an introduction to optical components,

principles and functionality in optical network elements as well as basic physical principles and properties and constraints

in optical fiber transmission. Principles and the function of optical circuit switched networks, both network elements like

reconfigurable add/drops and optical cross-connects as well as the principle of a wavelength routed optical network are

covered. Finally, up-to-date research in optical packet switched node and network architectures is studied.

Learning Outcomes

To get a basic understanding of physical properties of optical networks.2) To get a profound understanding of protocols applied in optical networks3) To get a profound understanding of optical switching methods and networking techniques, circuit, packet, hybrid, burst and flow.4) To get a basic understanding of optical components and optical node design.5) To be able to communicate, reason and creatively think about optical networks.6) To be able to design optical networks, taking both physical transmission properties and optical networking constraints into account.7) To be able to evaluate performance of optical packet switched nodes using discrete event simulation methods.

Module No.


Learning Outcome

1 Evolution of optical networking - Overview of Fibre optic LANs: Suitable topologies and MAC protocols, FDDI, DQDB, Gigabit Ethernet;

6 To understand the basic concept of

optical networks

To understand the protocols applied

in optical networks

2 Review of SONET/SDH and concepts of networking using IP-over-ATM-over-SONET/SDH architecture;

6 To understand the concept and working architecture of first-generation optical networks

3 WDM networks: Elements of WDM networks, Optical line terminals, Optical line amplifiers, Optical add/drop multiplexers (OADMs), Reconfigurable OADMs, Optical cross-connects.

7 To get a profound knowledge in the optical networking devices and its functions in optical networks

4 WDM backbone networks: Concepts of wavelength routing and lightpaths, Lightpath topology design, Routing and wavelength assignment, LP-based optimum design and heuristic algorithms, Wavelength conversion.

7 Ability in the establishment and management of connection request in optical networks

5 Traffic grooming in wavelength-routed backbones; IP-over-WDM and GMPLS, Protection in SONET/SDH, Protection in WDM backbone networks - dedicated and shared schemes.

7 Capable of handling traffic flow and failure/fault management in optical networks

6 Overview of Optical access networks: Hybrid fiber coax (HFC), Enhanced HFC, Fibre to the home (FTTH), Overview of Passive optical networks; Optical CDMA and Elastic Optical Network.

6 Exposure of latest technologies in

optical networks

To understand the flaws and demand

in the existing optical networks and

the direction for the future optical

networks

Total 39


Page | 45

Text book: Rajiv Ramaswami, Kumar N. Sivarajan and Galen H. Sasaki, “Optical Networks: A Practical Perspective” (Third

Edition) The Morgan Kaufmann Series in Networking, David Clark, Series Editor, 2010

Reference books:

1.Biswanath Mukherjee, Optical WDM Networks, Springer, 2006. 2.P.E Green, Jr. ``Fiber Optic Networks,'' Prentice Hall;

1 edition (July 9, 1992).3.G. P.Agarwal, ``Fiber-Optic Communication Systems,'' Wiley Pubisher (2015). 4.C. Siva Ram

Murthy and Mohan Gurusamy, “WDM Optical Networks - Concepts Design and Algorithms”, Prentice-Hall PTR, 2002.

5.López, Víctor, Velasco, Luis (Eds.) “Elastic Optical Networks: Architectures, Technologies, and Control”, Springer, 2016.


Page | 46

Course Type

Course Code


OE ECO540 MIC and MMIC 3 0 0 9

Course Objective

MIC and MMIC technology provides the core component for wide range of microwave and millimeter wave communication, radar and sensing systems. The course aims to present different features of microwave circuits in integrated form. So, students will learn different aspects of integrated circuits in microwave frequency.

LearningOutcomes

Upon successful completion of this course, students will: 1. Acquire knowledge about Microwave Integrated Circuits. 2. Gain knowledge and understanding of lumped elements for MIC. 3. Develop understanding of the fundamentals required to design & implement Integrated Circuits operating at microwave frequencies. 4. Acquire a knowledge about Microwave Semiconductor Devices.

Module No.


Learning Outcome

1 Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, Basic Passive Components - Lumped elements in MIC & MMIC. Realization in microstrip and suspended stripline Basics of MIC, MMIC.

10 This unit will help students to get information about passive components used in MMIC.

2 MEMS technologies. Realization of planar transmission lines and filters in MEMS.

6 This unit will help students in understanding the MEMS.

3 Active device technologies and design approaches, Fabrication and modeling: Bipolar junction transistor, Hetero-junction bipolar transistor, High electron mobility transistor, MESFET, CMOS, BiCMOS.

10 This unit will help students to get information about active components used in MMIC.

4 Packaging, Interconnects, Monolithic Integrated Antenna, Phase Shifters-PIN diode- Equivalent circuit and Characteristics, Basic series and shunt switches in microstrip. Overview of Transceiver Design.

13 This will help in designing & implementing Integrated Circuits operating at microwave frequencies.

Total 39

Text Books:

1.RFIC and MMIC design and technology by I. D. Robertson and S. Lucyszyn, The Institute of Electrical Engineers,

Second Edition 2001.

Reference Books:

1.Advanced Millimeter-wave Technologies: Antennas, Packaging and Circuits by Duixian Liu, Ulrich

Pfeiffer, Janusz Grzyb, Brian Gaucher. Wiley, First Edition 2009.


Page | 47

Course Type

Course Code


OE ECO541 Computational Electromagnetics 3 0 0 9

Course Objective

The course prepares PG students to familiarize the students with the advanced computational technique based on finite difference method and finite difference time domain method with respect to real time situation.

Learning Outcomes

By the end of the course, the students should be able to apply FDTD concept to any boundary value problem and code the same on the MATLAB. Furthermore, demonstrate an awareness of available methods to model and solve electromagnetics related real-life engineering problems.

Module No.


Learning Outcome

1 Introduction to FDTD, The Finite-Difference Time-Domain Method Basic Equations, FDTD Updating Equations for One/Two/Three-Dimensional Problems. Numerical Stability and Dispersion, CFL Condition for the FDTD Method.

10

This module will explain the understanding of the fundamental of FDM and basic concepts in Maxwell’s equations.

2 Building Objects in the Yee Grid, Defining the Problem Space Parameters, Defining the Objects in the Problem Space, Material Approximations, Sub cell Averaging Schemes for Tangential and Normal Components, Defining Objects Snapped to the Yee Grid, Creation of the Material Grid, Improved Eight-Sub cell Averaging.

9 This unit will help student in understanding Yee cell concept and its extension of the same for different geometries with materials parameters.

3 Perfectly Matched Layer Absorbing Boundary, Theory of PML, Theory of PML at the Vacuum–PML Interface, Theory of PML at the PML–PML Interface, PML Equations for Three-Dimensional Problem Space, PML Loss Functions, FDTD Updating Equations for PML and MATLAB Implementation for Two-Dimensional TEz and TMz Case, Convolutional Perfectly Matched Layer.

8 Student will familiarize the different boundary conditions and abke to make connection with real time situations.

4 Scattering Parameters, S-Parameters and Return Loss calculations, Near-Field to Far-Field Transformation, Implementation of the Surface Equivalence Theorem, Frequency Domain Near-Field to Far-Field Transformation, Implementation of the Thin-Wire Formulation, Thin-Wire Dipole Antenna, Filter design etc.

12 Students will able to write their own code to solve the real time EM problem and find the desired parameters for analysis.

Total 39

Text Books:

1. Atef Z. Elsherbeni and VeyselDemir, ‘The Finite-Difference Time-Domain Method for

Electromagnetics with MATLAB Simulations’ SciTech Publishing, Inc Raleigh, NC, 2nd edition, 2015.

Reference Books:

1. Matthew N.O. Sadiku, ‘Numerical Techniques in Electromagnetics, 3rd Edition, 2009, Prairie View

A&M University, Texas, USA

2. Journal Papers of IEEE Transaction on Antenna and Propagation and IEEE Transaction on Microwave

Theory and Techniques.


Page | 48

Course Type

Course Code


OE ECO560 Test and Verification of VLSI Circuits 3 0 0 9

Course Objective

With this course students will learn the most recent, yet fundamental, VLSI test and verification principles along with design for testability (DFT) architectures in an effort to help them design better quality products that can be reliably manufactured in large quantity.

Learning Outcomes

Upon successful completion of this course, students will: Acquire knowledge about manufacturing defects, fault modeling and collapsing.Model and simulate different types of faults in digital circuits at various levels of abstraction.Critique and compare various ATPGalgorithms for combinational and sequential circuits.Acquire knowledge about various verification techniques.

Module No.


Learning Outcome

1 Introduction to VLSI testing and verification, Defects and Faults, Functional and structural testing, Physical faults and their modeling, Fault Coverage, Single and multiple stuck-at fault model, Fault collapsing, Fault Equivalence and dominance, Checkpoint theorem, Delay fault testing, Iddqtesting.

9 Acquire an understanding of role of VLSI test and verification, concept of faults and various test methodologies existing for digital VLSI circuits.

2 Fault simulation, Algorithms for fault simulation: Serial, parallel, deductive and concurrent techniques; Critical path tracing.

5 Learnabout various fault simulation algorithms, their merits and demerits.

3 Test generation for combinational circuits: Boolean difference, D-algorithm, PODEM, etc.; Exhaustive, random and weighted test pattern generation; aliasing and its effect on fault coverage.

5 Learnabout various test generation algorithms for combinational circuits, their merits and demerits.

4 Test pattern generation for sequential circuits: ad-hoc and structured techniques; scan path and LSSD, boundary scan. Design for testability.

5 Learnabout various test generation algorithms for sequential circuits, and design for testability (DFT) architectures.

5 Built-in self-test techniques, System-on-chip (SoC) testing, Low-power testing.

5 This unit helps the students to learnBuilt-in self-test (BIST) techniques, methodologies for SoC testing and low-power testing.

6 PLA testing: cross-point fault model, test generation, easily testable designs; Memory testing: permanent, intermittent and pattern-sensitive faults; test generation.

5 This unit helps the students to learnvarious modeled faults in PLA and memory along withtheir test methodologies.

7 Design verification techniques based on simulation, analytical and formal approaches. Functional verification. Timing verification. Formal verification. Basics of equivalence checking and model checking. Hardware emulation.

5 This unit introduces the role of design verification and various approaches used for verification.

Textbook:

1. M.L.Bushnell andV.D.Agrawal,“Essentials of Electronic Testing for Digital, Memory and Mixed-Signal VLSI

Circuits”, Kluwer Academic Publishers, 2009.

2. William K Lam, “Hardware Design Verification: Simulation and Formal Method-Based Approaches”, Prentice Hall

Modern Semiconductor Design Series, 2005.

Reference Books:

1. M. Abramovici, M. A. Breuer and A. D. Friedman, “Digital Systems and Testable Design”, Jaico Publishing House,

2002.

2. N. K Jha and S. Gupta, “Testing of Digital Systems”, Cambridge University Press, 2003.

3. P.K.Lala,“DigitalCircuitTestingandTestability”,AcademicPress,2002.

4. A. L. Crouch, “Design Test for Digital IC's and Embedded Core Systems”, Prentice Hall International, 2002.


Page | 49

Course Type

Course Code


OE ECO506

Machine Learning

3 0 0 9

Course Objective

Course Philosophy:

Machine learning is an important component of the growing field of data science. Through the use of statistical

methods, algorithms are trained to make classifications or predictions, uncovering key insights within data

mining projects. These insights subsequently drive decision making within applications and businesses,

ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data

scientists will increase, requiring them to assist in the identification of the most relevant business questions

and subsequently the data to answer them.

Learning Outcomes

Distinguish between, supervised, unsupervised and semi-supervised learning.

Apply the apt machine learning strategy for any given problem.

Suggest supervised, unsupervised or semi-supervised learning algorithms for any given problem.

Design systems that use the appropriate graph models of machine learning.

Modify existing machine learning algorithms to improve classification efficiency.

Unit No.


Learning Outcome

1

Module 1: Introduction: Learning – Types of Machine Learning – Supervised Learning – The Brain and the Neuron – Design a Learning System – Perspectives and Issues in Machine Learning – Concept Learning Task – Concept Learning as Search – Finding a Maximally Specific Hypothesis – Version Spaces and the Candidate Elimination Algorithm – Linear Discriminants – Perceptron – Linear Separability – Linear Regression..

06 To understand the basics of

machine learning.

To have a thorough understanding

of the Supervised and

Unsupervised learning

techniques.

2

Module 2: LINEAR MODELS: Multi-layer Perceptron – Going Forwards – Going Backwards: Back Propagation Error – Multi-layer Perceptron in Practice – Examples of using the MLP – Overview – Deriving Back-Propagation – Radial Basis Functions and Splines – Concepts – RBF Network – Curse of Dimensionality – Interpolations and Basis Functions – Support Vector Machines

06 To understand the different linear

models of Machine Learning

3

Module 3: TREE AND PROBABILISTIC MODELS: Learning with Trees – Decision Trees – Constructing Decision Trees – Classification and Regression Trees – Ensemble Learning – Boosting – Bagging – Different ways to Combine Classifiers – Probability and Learning – Data into Probabilities – Basic Statistics – Gaussian Mixture Models – Nearest Neighbor Methods – Unsupervised Learning – K means Algorithms – Vector Quantization – Self Organizing Feature Map

06 To understand the concept of tree

and various probability based

learning techniques.

4

Module 4: DIMENSIONALITY REDUCTION AND EVOLUTIONARY MODELS: Dimensionality Reduction – Linear Discriminant Analysis – Principal Component Analysis – Factor Analysis – Independent Component Analysis – Locally Linear Embedding – Isomap – Least

03 To understand the Dimensionality

Reduction and Evolutionary

Models of Machine Learning


Page | 50

Squares Optimization – Evolutionary Learning – Genetic algorithms – Genetic Offspring: - Genetic Operators – Using Genetic Algorithms – Reinforcement Learning – Overview – Getting Lost Example – Markov Decision Process

5

Module 5: GRAPHICAL MODELS: Markov Chain Monte Carlo Methods – Sampling – Proposal Distribution – Markov Chain Monte Carlo – Graphical Models – Bayesian Networks – Markov Random Fields – Hidden Markov Models – Tracking Methods

06 To understand graphical models

of machine learning algorithms

Text book:

1. Tom M Mitchell, “Machine Learning”, First Edition, McGraw Hill Education, 2017.

Reference books:

1. Ethem Alpaydin, “Introduction to Machine Learning 3e (Adaptive Computation and Machine Learning

Series)”, Third Edition, MIT Press, 2014.

2. Jason Bell, “Machine learning – Hands on for Developers and Technical Professionals”, First Edition,

Wiley, 2014

3. Peter Flach, “Machine Learning: The Art and Science of Algorithms that Make Sense of Data”, First

Edition, Cambridge University Press, 2012.

4. Stephen Marsland, “Machine Learning – An Algorithmic Perspective”, Second Edition, Chapman and

Hall/CRC Machine Learning and Pattern Recognition Series, 2014.


Page | 51

Course Type

Course Code


OE ECO501 Internet of Things

3 0 0 9

Course Objective

Course Philosophy: The internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The course introduces advanced concepts and methodologies of IoT to design, build and deploy IoT solutions. It also discusses various technologies and protocols used for communication including new generation IoT-friendly applications and physical layer protocols.

Learning Outcomes

Learning Outcomes: A. Knowledge: - Understanding building blocks of Internet of Things and characteristics - Thorough understanding of widely accepted IoT frameworks and standards - Understanding the application areas of IOT - Building and deploying IoT solutions - Realizing the revolution of Internet in Mobile Devices, Cloud & Sensor Networks

Module No.


Learning Outcome

1 Introduction to IoT: Sensing, Actuation, Basics of Networking, Communication Protocols, Sensor Networks, Machine-to-Machine Communications.

7 To understand the basic concepts of

internetworking, sensors and actuators

To understand the concepts of sensing

signal, data acquisition and transfer

To understand the basic concepts of

networking and node to node

communication in sensor networks

2 Interoperability in IoT, Introduction to Arduino Programming, Integration of Sensors and Actuators with Arduino.

8 To get the exposure of hardware

components and integration with sensors

and communication devices

3 Introduction to Python programming, Introduction to Raspberry Pi, Implementation of IoT with Raspberry Pi, Implementation of IoT with Raspberry Pi.

7 To develop the programming skills

To develop the programs for the

implementation of tasks in different

hardware devices

4 Introduction to SDN; SDN for IoT, Data Handling and Analytics, Cloud Computing.

7 To get the exposure of future network

technologies, data handling and storage

5 Sensor-Cloud; Fog Computing, Smart Cities and Smart Homes, Connected Vehicles, Smart Grid, Industrial IoT, Case Study: Agriculture, Healthcare, Activity Monitoring.

8 To get exposure on the applications for

implementing the IoT as tools.

Total 39

Text book:

1. Pethuru Raj and Anupama C. Raman, "The Internet of Things: Enabling Technologies, Platforms, and Use Cases", CRC Press, 2017

Reference books:

1. ArshdeepBahga and Vijay Madisetti "Internet of Things: A Hands-on Approach", Universities Press, 2014

2. Olivier Hersent, “The Internet of Things: Key Applications and Protocols”, Wiley Press, 2015 3. Adrian McEwen, “Designing the Internet of Things”, Wiley Publishers, 2013 4. Daniel Kellmereit, “The Silent Intelligence: The Internet of Things”. 2013


Page | 52

Course Type

Course Code


OE ECO521 Design and Analysis of Algorithms 3 0 0 9

Course Objective

Course Philosophy: Algorithms are essential to the study of computer science and are increasingly important in the natural sciences, social sciences and industry. Learn how to effectively construct and apply techniques for analyzing algorithms including sorting, searching, and selection. Gain an understanding of algorithm design technique and work on algorithms for fundamental graph problems including depth-first search, worst and average case analysis, connected components, and shortest paths.

Learning Outcomes

Learning Outcomes: To develop the algorithm in every domain

Understanding the issues of complexities

To structure the algorithm for better efficiency

Module No.


Learning Outcome

1 Fundamentals – Growth of functions

07 To understand the fundamentals of algorithm

design

Development of functions in algorithms

2 Sorting and searching - Advanced data structures

08 To develop the programming skills

To develop the programs for the implementation of

sorting & search techniques and analyzing the

complexities

To structure the tasks in implementation of

algorithms

3 Graph algorithms - Numerical algorithms

08 To understand the concept of graphs

To design the algorithms on graphs and numerical

methods with minimum complexity

4 Distributed algorithms - Computational geometry

08 To get concept of distributed computation

Development of algorithms on distributed

algorithms

To get exposure on computational geometry

5 String matching - NP –completeness

07 To understand the concept of string matching

To understand and provide the solution of different

problems

Total 39

Text Books:

1. Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser, “Data Structures and Algorithms in

Python”, Wiley Publishers, 2016

2. Jon Kleinberg, Éva Tardos, “Algorithm Tardos”, Pearson Education, 2013

Reference Books:

1. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to

Algorithms”, Prentice Hall of India, 2010.

2. Anany Lenin, “Introduction to the Design and Analysis of Algorithms”, Pearson Education, 2011.


Page | 53

Course Type

Course Code


OE ECO542 Advanced Microwave Measurement & Instrument 3 0 0 9

Course Objective

Provide the student with experience in measurements of RF and microwave hardware and signals using modern equipment.

Learning Outcomes

At the end of this module, students are expected to be able to 1) Handle high-end instruments like VNA, Spectrum analyzer, power meter, etc. 2) Characterize different passive and active microwave devices. 3) Able to setup experiments for real-time situations.

Module No.


Learning Outcome

1 Fundamentals of electromagnetics and microwave engineering, basic instruments for microwave measurements, and Introduction to RF and Microwave Measurements, Overview of State-of-the-Art Microwave Measurements, S-Parameters and Related Black-Box Representation.

5

Understanding of fundamental of microwave engineering and basic tools for the analysis of any microwave network

2 Time Domain Reflectometry (TDR): measure characteristics of various connector families, transmission lines, complex loads, Spectrum Analyzer: for measurement of simple signals on a spectrum analyzer to understand resolution bandwidth, video bandwidth, dynamic range, noise, etc, Spectrum analyzer architecture, network analyzer architecture, error correction model, Material Property Measurement Using the VNA, a scalar network analyzer.

20 In this module, students will be learning the basic construction and analysis of TDR, spectrum analyzer architecture and applications and finally VNA basics and error correction model with connection of calibration of the same.

3 Power meter, LCR meter, Noise figure measurement, Noise Measurements Definition, Noise Measurement Basics, special Consideration for Mixers, Phase Noise, Phase-Noise Measurement Techniques signal generator architecture and measurements, amplifier characterization, mixer characterization, design and build a simple single stub transmission line matching circuit etc.

14 The student will familiarize the different advanced instruments and handling like LCR meter, noise meter, amplifier characterization, etc.

Total 39

Text Books:

1. Atef Z. Elsherbeni and VeyselDemir, ‘The Finite-Difference Time-Domain Method for

Electromagnetics with MATLAB Simulations’ SciTech Publishing, Inc Raleigh, NC, 2nd edition, 2015.

Reference Books:

1. Matthew N.O. Sadiku, ‘Numerical Techniques in Electromagnetics, 3rd Edition, 2009, Prairie View

A&M University, Texas, USA

2. Journal Papers of IEEE Transaction on Antenna and Propagation and IEEE Transaction on Microwave

Theory and Techniques.


Page | 54

Course Type

Course Code


OE ECO543 Microwave Remote Sensing 3 0 0 9

Course Objective

This course will enable the students to learn about fundamentals and application of radar remote sensing and radiometry also learn about airborne and space borne radar systems.

Learning Outcomes

At the end of this module, students are expected to be able to Understand the fundamentals of radar remote sensing and radiometry.

Apply the concept of radar remote sensing.

Study about different airborne and spaceborne radar systems.

Study about special topics in radar remote sensing systems.

Module No.


Learning Outcome

1 Passive Survey System: Introduction, History, plane waves, antenna systems, Resolution Concepts, Radiometry, Passive microwave sensing components, Emission laws, Roughness and Dielectric Constant, Radiometers, Components, Brightness temperature, Antenna temperature, Power, temperature correspondence, passive microwave interaction with atmospheric constituents, Emission characteristics of various earth features, Passive missions.

10 Students will be introduced to the fundamentals of remote sensing and radiometry.

2 Data products and Applications Active Survey System: Basics, RADAR operation and measurements, RADAR equation, RAR, frequency bands, SLAR Imaging Geometry, Geometric Distortions, SAR, Concepts, Doppler principle & Processing System Parameters and fading concepts, Target Parameters. Interaction with Earth surface and vegetation, Physical Scattering Models, Surface and Volume Backscattering Platforms.

10 Students will be able to apply the above concepts in radar remote sensing.

3 Sensors and Data Processing: Airborne, Space borne and Indian missions, Data products and selection procedure, SAR Image Processing software, Measurement and discrimination, Backscatter Extraction, Pre-processing and speckle filtering, Image Interpretation, SAR Image Fusion.

10 Students will understand different airborne and spaceborne radar systems.

4 Applications in Agriculture, Forestry, Geology, Hydrology, cryospace studies, landuse mapping and ocean related studies, military and surveillance applications, search and rescue operations, ground and air target detection and tracking - case studies. Imaging and Non Imaging Metrics: SAR interferometry, Basics, differential SAR interferometry, SAR polarimetry, Polarisation Types, Information Extraction, Altimetry, Principle, Location systems, Calibration- applications.

09 Students will be familiar with different radar remote sensing systems.

Total 39

Text Book:

1.Microwave remote sensing, By Ulaby, F.T., Moore, K.R. and Fung, vol-1,vol-2 Addison-Wesley Publishing, 1986.

Reference Books:

1. Principles and applications of Imaging RADAR, Manual of Remote sensing, vol.2, By Floyd.M.Handerson and Anthony, J.

Lewis ASPRS, Jhumurley and sons, Inc, 3rd edition, 1998.

2. Air and space born radar systems-An introduction, By Philippe Lacomme, Jean clandeMarchais, Jean Philippe Hardarge

and Eric Normant, Elsevier publications, 1st edition, 2007.

3. Introduction to microwave remote sensing, By Iain H.woodhouse, 1st edition, 2005.

4. Radar Foundations for Imaging and Advanced Concepts, By Roger J Sullivan, Knovel, SciTech Pub., 2004.


Page | 55

Course Type

Course Code


OE ECO561 Embedded System Design 3 0 0 9

Course Objective

With this course students will learn to design different types of microcontroller based and processor based embedded systems for instructing and controlling various types of automations.

Learning Outcomes

Upon successful completion of this course, students will: Classify different types of Automations required in society and industries.

Fulfill the requirements in automations by suitable embedded designs.

Control all the important processes and designed embedded systems in efficient way.

Module No.


Learning Outcome

1 Introduction to embedded system and to its different functional building blocks. Different processors for embedded system. 8051 Microcontroller Architecture: Memory Organization Input/Output Ports, Interrupts, Timers/Counter, Serial Communication, Power Control.

9 Acquire an understanding of the basic type of microcontrollers and their in built architectures.

2 8051 μC instructions and its assembly language programming Concepts.

5 Develop skills for command microcontrollers in form of software codes.

3 Programming the 8051 μC. Interfacing of some other devices/peripherals with 8051 μC, e.g., LCD, ADC, DAC etc. Motor Control: DC and Stepper motors. Some embedded system design applications using 8051 μC. Von Neumann and Harvard architecture, CISC & RISC architecture. Some advanced microprocessors and microcontrollers for embedded system.

14 Understand the techniques of attaching different kind of peripheral devices with the microcontroller in an embedded system and ways to operate them as team.

4 Other common components of embedded system: Memory, Watchdog Timer, Real-time clock, Serial communication using I2C, CAN, USB buses, Parallel communication using ISA, PCI, PCI/X buses. Introduction to Real-Time Operating Systems: Tasks and Task States, Tasks and Data, Semaphores, and Shared Data; Some popular RTOS. Different design phases and constraints of embedded system.

14 Ability to build various types of embedded system which can able to work in real world environment. Also able to understand the limitations of their working.

Total 39

Textbook:

1. The 8051 Microcontroller Based Embedded Systems, Manish K Patel, McGraw Hill Education (India), 2017.

Reference Books:

1. M. A. Mazidi and J. G. Mazidi, "The 8051 Microcontroller and Embedded Systems", Prentice-Hall of India PVT

LTD, 2011.

2. K Ayala, “The 8051 Microcontroller & Embedded Systems Using Assembly and C”, Ceneage Learning India PVT

LTD, 2009.

3. A. Gupta, “Microcontroller and Embedded Systems”, S.K. Kataria& Sons (India), 2019.

course structure for phd

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