Course Catalog

Advanced Big Data Analytics and Cloud Computing

Advanced Design of RCC Structures

Advanced Digital Signal Processing

Advanced power electronics and drives

Advanced Programming Techniques and Algorithm Design

Advanced Studies in Computer Sciences: Image Processing

Adv.  Machine Design

Advanced Analog VLSI Design

Advanced CAM

Advanced Computer Networks

Advanced Database Management Systems

Advanced Digital Communication

Advanced Finite Element Methods

Advanced Material Science

Introduction: historical development, need of advanced manufacturing process, classification Surface characterization: Importance of surface characterization, nature of surface, surface characterization parameters- average roughness parameters, and statistical analysis, measuring techniques Mechanical Energy Processes: Ultrasonic machining, water and abrasive jet machining, abrasive flow machining. -Operating principle –Process parameters Applications –Advantages and Limitations. Severe Plastic Deformation Processes: Friction stir welding and processing, equal channel angular pressing, High pressure torsion, Friction welding, high energy ball milling, ultrasonic peening, repetitive corrugation and straightening Electric and Thermal Energy Processes: Electrical discharge machining (EDM), Electrical discharge wire cutting (EDWC), Electron beam machining (EBM), Ion Beam Machining (IBM), Plasma Beam Machining (PBM), Laser assisted machining, -Operating principle-Process parameters -Applications –Limitations Chemical and Electrochemical Processes: Chemical milling, Electro chemical machining (ECM), Electro chemical drilling (ECD), Electro chemical grinding (ECG), Electro chemical honing (ECH), Electropolishing, Ultrasonic assisted electrochemical machining -Operating principle -Process parameters - Applications -Limitations. Micro-Nano Manufacturing Processes: Principle of micromachining, abrasive micromachining processes –grinding, lapping, and micro-ultrasonic. Micro-EDM and laser machining, lithography, thin film deposition techniques, dry and wet etching, deep reactive ion etching Additive Manufacturing: Introduction, application, classification, powder bed fusion processes, extrusion-based processes, sheet lamination processes, direct energy deposition processes.

Advanced Numerical Computing

Advanced Operations Research

Advanced Power Electronics

Students will learn advanced topics related to the behavior and design of reinforced concrete. Introduce the student to key advanced reinforced concrete concepts and topics as well as further develop the student’s critical thinking skills. 11. Course Aims Upon successful completion of this course, students will be able to: 1. Design of special structural elements of RC and 2. Design of Multi-storey buildings.

Advanced Reaction Engineering

Advanced Soil Mechanics

Matrix method of structural analysis

Advanced Structural Materials and Applied Tribology

Advanced Thermodynamics

Advanced Transport Phenomenon

Introduction to air quality science and engineering; Basics of air pollution including unit of expression and measurement techniques; Sources of air pollutants in the environment; Aerosol/particulate matter, and classification of particulate matter; Atmospheric transformation of air pollutants; Meteorology as applied to air pollution and dispersion of air pollutants; Air quality dispersion modeling techniques; Selection of control equipment; Engineering control concepts; Process change; Fuel change; Pollutant removal and disposal of pollutants; Control devices and systems; Removal of dry particulate matter; Liquid droplets and mist removal; Gaseous pollutants and odour removal; Control of stationary and mobile sources; and Source apportionment modeling techniques.

physical and chemical processes responsible for fate and transport of pollutants in the atmosphere, identifying and evaluating mitigation measures of existing concentrations levels of these air pollutants, atmospheric modeling techniques to examine the distributions of pollutants, Basics of air pollution including unit of expression and measurement techniques; Sources of air pollutants in the environment; Aerosol/particulate matter.

Review of working of BJT, Introduction to field effect transistor and their small signal equivalent circuit; Biasing and Stability of BJT, JFET and MOSFET circuits and re- model and hybrid model; Small Signal Analysis and Design of various single stage amplifier configurations; multistage Amplifiers; Frequency response (low and high frequency), Multistage frequency effects, Square-wave generators. Differential Amplifier, Operational Amplifier applications and circuits; Feedback Amplifiers, Oscillators.

Course Summary This course covers in depth knowledge of Basic antenna principals, concepts of antenna wave propagation, antenna theory, design and measurements. Course Aims Providing knowledge of different types of antenna. Knowledge of antenna measurement methods Knowledge of radio wave propagation in atmosphere Learning Outcomes On successful completion of the course, students will be able to: a) Able to explain the basic concept of antenna b) Able to design the antenna for given application c) Able to characterise and analyse the antenna from antenna parameters Curriculum Content 1. Fundamental Concepts: Concept of Radiation (physical meaning), Potential functions & Electromagnetic field, Network Theorems, Radiation Pattern, near-field and far-field regions, basic parameters of antenna (directivity, gain, beam-width, effective aperture, polarization, input impedance, radiation efficiency, radiation resistance and efficiency etc.), Friis transmission equation, Methods of Excitation. 2. Radiation from Wires and Loops: Infinitesimal dipole, finite-length dipole, dipoles for mobile communication, small circular loop. 3. Aperture Antennas: Huygens’ principle, radiation from rectangular and circular apertures, design considerations, Babinet’s principle, Radiation from sectoral and pyramidal horns, design concepts, Fourier Transformation in aperture antenna. 4. Travelling Wave antennas: Analysis and Design of Rhombic antennas and V antenna. 5. Broadband Antennas: Broadband concept, Log-periodic antennas, frequency independent antennas. 6. Reflector antennas: Parabolic reflectors and reflector optics. 7. Microstrip Antennas: Basic characteristics of microstrip antennas, feeding methods, methods of analysis, design of rectangular patch antennas. 8. Antenna Measurements: Antenna Radiation pattern measurements, Measurement of antenna beam width and gain, Polarization measurements. Measurement of radiation resistance, S parameter. 9. Antenna Arrays: Analysis of uniformly spaced arrays with uniform and non-uniform excitation amplitudes, extension to planar arrays, Binomial arrays. 10. Wave Propagation: Propagation of radio waves, mode of propagation Ground wave propagation- Attenuation characteristics for ground wave propagation, Calculation of field strength at a distance. Sky wave propagation- . atmospheric effects, structure of ionosphere, and its effect on radio waves. Ray path, , ionospheric propagation, skip distance, virtual height, critical frequency, MUF, fading, diversity. Space wave propagation - Reflection from ground for vertically and horizontally polarized waves. Reflection characteristics of earth. Resultant of direct and reflected ray at the receiver. Duct propagation. Teaching and Learning Strategy a) Lectures will incorporate break-outs for working in groups on problems b) Blackboard will be used to share class material, and to enable online discussions. Teaching and Learning Strategy Description of Work Class Hours Out-of-Class Hours Lecturers Class room teaching 40 hours 80 hours Experiments Measurement of antenna parameter & Characterization 20 hours 10hours ASSSESSMENT. Assessment Strategy Formative Assessment: a) Laboratory Experiments b) Quizzes c) Midterm Exam Summary Assessment a) Final Exam Mapping of Learning Outcomes to Assessment Strategy Assessment Scheme Type of Assessment Learning Outcome Percentage Quizzes Based on the previous and current lecture 15 Lab Measurement of antenna parameters 20 Mid term Standard and design based problem 25 End Term Standard and design based problem 40 Total 100% Bibliography i. Antenna Theory Analysis and Design by Constantine A. Balanis ii. E.C. Jordan & K.G. Balmain, Electromagnetic waves & Radiating Systems, PHI, 2007 iii. Antennas and Wave Propagation by J D Kraus iv. Antenna Theory and Design by Warren L Stutzman and Garry A Thiele v. R.E.Collins, Antennas and Radio Propagation, Singapore: McGraw Hill, 1985 vi. Antennas for All Applications by J D Kraus and Ronald J Marhefka vii. Antenna Theory and Design by Robert S Elliot viii. Microwave Antenna Theory and Design by Samuel Silver

Applied Machine Learning

Unit-I Thermodynamic relations: Mathematical conditions for exact differentials. Maxwell Relations, Clapeyron Equation, Joule-Thompson coefficient and Inversion curve. Coefficient of volume expansion, Adiabatic & Isothermal compressibility. Unit-II Boilers: Steam generators-classifications. Working of fire-tube and water-tube boilers, boiler mountings & accessories, Draught & its calculations, air pre heater, feed water heater, super heater. Boiler efficiency, Equivalent evaporation. Boiler trial and heat balance. Condenser: Classification of condenser, Air leakage, Condenser performance parameters Unit-III Steam & Gas Nozzles: Flow through nozzle, Variation of velocity, Area and specific volume, Choked flow, Throat area, Nozzle efficiency, off design operation of nozzle, Effect of friction on nozzle, super saturated flow. Unit-IV Steam Turbines : Classification of steam turbine, Impulse and reaction turbines, Staging, Stage and overall efficiency, Reheat factor, Bleeding, Velocity diagram of simple & compound multistage impulse & reaction turbines & related calculations work done efficiencies of reaction, Impulse reaction Turbines, state point locus, Losses in steam turbines, Governing of turbines. Gas Turbine: Gas turbine classification Brayton cycle, Principles of gas turbine, Gas turbine cycles with intercooling, reheat and regeneration and their combinations, Stage efficiency, Polytropic efficiency. Deviation of actual cycles from ideal cycles. Unit-V Jet Propulsion: Introduction to the principles of jet propulsion, Turbojet and turboprop engines & their processes, Principle of rocket propulsion, Introduction to Rocket Engine. Introduction to working of IC engines: Compression Ignition engines, Spark Ignition engines, 2 stroke and 4 stroke engines, Performance parameters of IC engine. Fuels and Combustion: Combustion analysis, Heating Values, Air requirement, Air/Fuel ratio, Standard heat of Reaction and effect of temperature on standard heat of reaction, heat of formation, adiabatic flame temperature.

Artificial Intelligence

Unit-1: Automotive systems, Design Cycle and Automotive Industry Overview a) Automotive systems- Overview of automotive industry, leading players, automotive supply chain, global challenges b) Introduction to modern automotive systems and need of electronics in automobiles c) Automotive transmissions; Transmission fundamentals, Types- MT,AT,CVT and DCT (dual Clutch Transmission) d) Vehicle Braking Fundamentals; Vehicle dynamics during braking, Hydraulic brake system components, Introduction to ABS e) Steering Control- Fundamentals, Electric Power steering f) Overview of Hybrid Vehicles- ECU Design- V- model development, Components of ECU, Examples of ECU on Chassis, Infotainment , body electronics and cluster Unit-2 Automotive Sensors and Actuators Accelerometer Sensors, Wheel Speed Sensors, Brake pressure sensors, seat occupancy sensors, engine speed, steering wheel angle, vehicle speed sensor, Throttle position sensor, temperature sensor, mass air flow rate sensor etc Actuators- Solenoids, Various types of electric motors, and piezo electric force generators Example- Relays, Solenoids and motors, sensors in airbag systems, Chassis control system, Automatic transmission system. Unit-3 Microcontrollers/ Microprocessors in automotive domain, Communication Protocols, Infotainment Systems Microcontrollers/ Microprocessors in Automotive domain, Critical review of Microprocessor, Microcontroller and DSP development (emphasis on ports, timers/ Counters, interrupts, Watchdog timers, PWM) Criteria to choose right microcontroller/ Processor, Automotive grade processors- Renesas, Quorivva, Infineon, Development of control algorithms for different automotive systems. Communication Protocols: CAN, LIN, Flex RAY, MOST, Ethernet, D2B and DSI, Communication Interface with ECU’s , Interfacing techniques and interfacing with infotainment systems, Infotainment Systems: Application of Telematics in Auomotive domain, GPS and GPRS (GPS navigation, integrated hands-free cell phones, wireless safety communications and automatic driving assistance systems all are covered under the telematics umbrella) Unit-4 – Automotive Control System and model based Development Control System Approach in Automotive: Digital and analog control methods, modelling of linear system, System responses, Model based Development: MATLAB, SIMULINK, SIMSCAPE Tool boxes. Unit-5 – Safety Systems in Automobiles and Diagnostic Systems Active Safety Systems- ABS, TCS, ESP, Brake Assit etc., Passive Systems- Airbag Systems, Advance driver assistance system, Examples of ADAS- Collision Warning, Automatic Cruise Control, Head light control, Connected cars technology towards Autonomous vehicles etc., Functional Safety, Diagnostics – OBD , Off board Diagnostics etc Unit-6 – AUTOSAR fundamentals Introduction and Overview of AUTOSAR, AUTOSAR RTE and SWE, AUTOSAR Diagnostics, AUTOSAR Integration methodology, AUTOSAR Network management, operating System and partial networking, MCAL , ETHERNET

Basic Components of Electrical Circuits (4): Fundamental electrical variables – charge, current, voltage & power; Independent Voltage & Current sources; Ideal circuit elements - Resistor, Capacitor & Inductor; Controlled Source models – VCVS, VCCS, CCVS & CCCS - definitions & circuit models; Concepts of Linearity, Time-invariance & Passivity. Linear D-C Circuits (5) – Kirchhoff’s laws, Series & Parallel combinations of resistances, Voltage & Current divisions, Analysis of resistive circuits using Loop & Node equations – with independent sources only, and with both independent and controlled sources. Useful Circuit Analysis Techniques (3) - Superposition, Source transformations, Thevenin’s equivalent, Norton’s equivalent, Maximum Power transfer, Delta-wye conversions. Time-domain Analysis of LTI Circuits (3) – Natural & forced responses of basic RC & RL circuits, Natural & forced responses of Series & Parallel RLC circuits. Sinusoidal Steady State Analysis of A-C Circuits (6) – Notions of phasors, impedance, admittance & transfer function; Frequency response vs transient response; Responses of RC, RL & RLC circuits – series & parallel Resonance; Simple passive Filters & their Bode plots; Loop & Node Analysis of a-c circuits with independent & controlled sources. Basic Amplifiers (6) – Amplifier parameters & controlled source models; Basic Feedback theory - Open-loop Gain, Feedback factor & Closed-loop gain; Effect of feedback on Amplifier parameters; VCVS model of an Opamp; Amplifiers using ideal OPAMP; Frequency response of basic OPAMP-based amplifiers. Power Amplifier (3) – Small-signal vs Large-signal behaviour of amplifiers; Power amplifier requirements – Power Output & Efficiency; Power amplifier using OPAMP and transistors. Waveform Generators (5) – Condition of harmonic oscillation; RC and LC oscillator circuits; Timer and Relaxation oscillator based on comparator and RC timing circuit; Square wave generator using 555 Timer and Digital inverters (TTL/CMOS); Crystal clock generator. D-C Power Supply (3) – Half-wave and Full-wave Rectifiers, Shunt Capacitor filter, Voltage Regulator, Regulated D-C Power Supply. Wave Shaping Circuits (4) – Diode Clippers; Precision Clippers using Diode and Opamp; Diode Clamp; Peak Detector and Peak Hold circuits; Sample and Hold circuit.

Big Data Management and Analytics has been becoming increasingly important for deriving valuable and actionable insights in in several important and diverse domains such as smart cities, transportation, healthcare and financial services. On the other hand, Cloud computing platforms, such as Hadoop, incorporate the capabilities of processing, managing and analyzing such Big Data in a highly scalable manner. This course is designed to equip students with the fundamentals of Big Data management & analytics (including data mining, machine learning techniques etc.) as well as facilitate them in understanding how Big Data can be efficiently processed in Cloud computing platforms. The course also has a significant “hands-on” lab component, where students will gain exposure to processing and analyzing Big Data on Hadoop. Unit 1: Introduction to Big Data and its applications This unit introduces the concept of Big Data and explains its four dimensions (i.e., volume, velocity, variety & veracity). Then it details several applications of Big Data analytics to motivate the ever-increasing importance of Big Data in today’s world. Applications cover a wide gamut of domains ranging from transportation services to finance to social media. Moreover, it describes how Big Data can represent a high value proposition to businesses as a source of competitive advantage in improving some of their key performance metrics such as market share, profit margins etc. Unit 2: Issues associated with Big Data Management This unit discusses various key issue which arise in the processing of Big Data. Notably, many of these issues also arise while processing data that do not fall under the Big Data category. However, such issues are significantly exacerbated due to the tremendously large volumes and typically high complexity of Big Data. Issues include (but are not limited to) data cleaning, data heterogeneity, data integration, replication, caching, maintenance of data consistency, scalability and so on. The unit also covers the inherent trade-offs associated with each of these issues. Unit 3: Concepts of Cloud computing This unit discusses the key concepts and principles of Cloud Computing. It also incorporates detailed information about Cloud-related terminology. The topics covered in this unit include (but are not limited to) pros and cons of Cloud computing, Cloud architecture, Cloud service models (IaaS, PaaS, SaaS), Cloud applications (Azure, AWS etc.), effective resource allocation and cost efficiencies in Cloud computing, multitenancy and so on. Unit 4: Hadoop and MapReduce This unit covers the key concepts of Hadoop and MapReduce for solving real-world analytics problems associated with Big Data. The topics covered in this unit include (but are not limited to) Hadoop Distributed File system and several key Hadoop-related modules or software packages such as Hive, Pig, HBase, Spark, Flume, Sqoop, Oozie etc. Students will not only understand the concepts of these Hadoop packages, but also engage in some hands-on development work on these modules to gain a deeper level of expertise. Unit 5: Data Models & NoSQL This unit discusses the four key data models that are important for handling Big Data. The models are key-value DB, column-family DB, document DB and graph DB. For each of these data models, the unit will cover some of the important real-world technologies from both a theoretical perspective as well as from a practical hands-on point of view. Examples include HBase, Cassandra, Hypertable, BigTable, Dynamo DB, Mongo DB, Neo4J, Redis etc. This unit will also present the various trade-offs associated with selecting an appropriate data model based on issues such as the requirements of the respective applications, the specific properties of the underlying data, complexity of performing analytics and scalability. Unit 6: Big Data Strategy and Implementation This unit examines the business and strategic perspective of Big Data. Topics covered in this unit include (but are not limited to) a brief overview of some of the fundamental concepts of business strategy & business intelligence, understanding the key requirements of the relevant stakeholder(s), defining a Big Data strategy & creating plans for implementing the strategy, selecting appropriate Big Data tools and technologies based on the requirements of stakeholder(s) and cost-benefit trade-offs, maximizing the benefits obtaining by analyzing Big Data and maintaining a sustainable competitive advantage in the market.

Biomedical Signal Processing

Chemical Engineering Fluid Mechanics Lab

Chemical Engineering Fluid Mechanics

Course Summary This course supplements the understanding of fluid flow/ heat transfer problems achieved during the undergraduate Fluid Mechanics (FM) and Heat Transfer (HT) course through live examples. This lab course involves performing the experiments utilising the taught principles. Course Aims To enable students to relate and develop their understanding of theoretical concepts taught in the lectures through the respective experiments. Learning Outcomes On successful completion of the course, the students will: 1. have an improved understanding of the principles of FM and HT; 2. learn how to conduct an experiment for fluid flow and heat exchange related problems; 3. apply basic principles to solve real life problem based on FM and HT; 4. be able to record experimental data, interpret and represent conclusive findings; and 4. be able to design simple experimental setups. Curriculum Content List of experiments for Fluid Mechanics: Obstruction type flow meters Pressure measurements Bernoulli’s theorem Reynolds experiment and determination of friction factor Pipe flow List of experiments for Heat Transfer: Heat conduction: Composite wall and lagged pipe Heat conduction: Heat transfer through pin fin apparatus Heat convection: Heat transfer in natural and forced convection Heat radiation: Emissivity measurement Parallel and counter flow heat exchanger Teaching and Learning Strategy The course entails conducting practical experiments. The subjective concepts have been covered in previous semesters in dedicated courses. Teaching and Learning Strategy Description of Work Class Hours Out-of-Class Hours Practical sessions Performing experiments 2 hours/week 0 hour/week ASSSESSMENT. Assessment Scheme Type of Assessment Description Percentage Pre-experimental quiz Continuous evaluation for all experiments 20 Experiments, laboratory reports Performing experiments and its continuous evaluation and writing final report. 50 End-sem viva Final practical exam with viva 30 Total 100% Bibliography R. W. Fox and A. T. McDonald, Introduction to Fluid Mechanics Frank M. White, Fluid Mechanics W. L. McCabe, W. L. Smith, and P. Harriot, Unit Operations of Chemical Engineering R. B. Bird, W. L. Stewart and E. L. Lightfoot, Transport Phenomena JP Holman, Heat Transfer Incropera Dewitt, Principles of Heat and Mass Transfer

Course description not available.

Introduction, Definitions and Concepts: System, Surroundings, Thermodynamic Property, Heat, Energy, Work. First Law of Thermodynamics and Its Applications. Thermodynamic State and State Functions, Thermodynamic Equilibrium, Phase Rule. Working Fluid, Ideal Gas Properties, PVT Behaviour of Pure Substances, Reversible and Irreversible Processes, Various Heat Effects, Combustion. Second Law of Thermodynamics: Limitation of First Law, Kelvin-Planck and Clausius Statements, Carnot cycle, Thermodynamic Temperature Scale, Entropy, Irreversibility, Lost Work, Exergy. Third Law of Thermodynamics. Steam Cycle- Rankine Cycle, Refrigeration and Heat Pumps, Liquefaction of Gases, JouleKelvin Effect. Compressible Flow, Nozzles, Turbines, Expanders. Virial Equation and its Applications, Cubic Equations of State, Generalized Correlations for Gases and Liquids. Properties of Pure Substances, Properties of Gases and Gas Mixtures, Residual Properties, Thermodynamic Equations: Maxwell’s Equation, Energy Equation. Vapour Liquid Equilibria (VLE): Raoult’s Law, K-Value. Solution Thermodynamics: Theory and Applications, Chemical Potential, Partial Properties, Fugacity and Fugacity Coefficient, Excess Properties. Mixing Effects. Gamma/Phi Formulation of VLE. Chemical Reaction Equilibrium.

(A high level overview of the aims of the course, student activities, nature of assessment.) Chemical Process Industry deals with extremes of temperature, pressure, toxicity, corrosiveness, viscosity, etc. while supplying almost all the daily needs. It plays a vital role in economic development of a nation by giving employment to millions and earning foreign exchange by exports. Any major accident can be fatal to workers as well as to the particular company. It is essential that students graduating with Chemical Engineering Degree have sufficient knowledge of the situations that can arise, how to prevent them and minimize their consequences if accidents do happen. The concerns have increased due to possible deliberate actions of disgruntled persons to cause harm. The course aims to equip students with requisite knowledge. The learning process will involve lectures by instructor and industry experts, home assignments, term project and exams. These will be used for assessment.

Introduction to chemical reaction engineering, rate equations, conversion and reactor sizing for single and multiple reactions, kinetics of homogeneous reactions, derivation of reactor design equations, analysis and sizing of reactors, data collection and plotting to determine rate constants, reactor networks (series/parallel), reaction mechanisms, temperature and pressure effects on reactions and reactor design, simultaneous material and energy balances, multiple steady-states, residence time distributions in non-ideal reactors.

(A high level overview of the aims of the course, student activities, nature of assessment.) This course aims to introduce students to non-ideal reactors which do not follow the models developed for ideal systems. Then, methods to design different types of non-ideal reactors based on residence time distribution theory. As the course progresses, students are exposed to catalysis and catalytic reactor design. Students will be given home assignment time to time. They will be also asked to solve some problem on the board to see whether they did the assignment problem themselves or copied from someone else. Student’s assessment will be based on his/her performance in the quizzes, exams and home assignments. Students will also be judged based on their involvement in the discussion during the class.

Unit operations and unit processes, functions of chemical engineer, new emerging areas: Study of the following chemical industries/processes involving process details, production trends, thermodynamic considerations, material and energy balances, flow sheets, engineering problems pertaining to material of construction, waste regeneration/ recycling, and safety, environmental and energy conservation measures.  Industrial gases: hydrogen, producer gas, and waste gas. Nitrogen industries: Ammonia, nitric acid, nitrogenous and mixed fertilizers, Chlor-Alkali industries: Common salt, caustic soda, chlorine, hydrochloric acid, soda ash, Sulphur industries: Sulphuric acid, oleum.  Cement industries: Portland cement, Petrochemicals: Formaldehyde, ethylene oxide, ethylene glycol, acrylonitrile, styrene, butadene, Agrochemicals: Important pesticides, BHC, DDT, Malathion, Alcohol industries: Industrial alcohol, Absolute alcohol, Oil, Fats and waxes, soaps and detergents, pulp and paper industry.

Climate And Climate Change

Review of Fourier series and Transform. Hilbert transform. Band pass signal and system representation. Noise: Resistor noise, Noise temperature, Noise bandwidth, effective input noise temperature, Noise figure. Noise figure & equivalent noise temperature in cascaded circuits. Random process: stationary, power spectral density, Gaussian process, noise. AM, DSBSC, SSB, VSB; Signal representation, generation, and demodulation. FM: signal representation, generation, and demodulation. Superheterodyne receiver, Mixer. Phase recovery with PLL. Noise in AM / FM : AM receivers using coherent detection, AM receivers using envelope detection, FM receivers. Pulse Modulation: PPM, PWM, PAM. PCM: sampling, PAM sampling, quantization, PCM -TDM. Basics of TDMA, FDMA, CDMA & GSM.

Introduction to communication networks. Switching: Circuit switching, Packet switching, Message switching, Cell switching, Permanent virtual circuit, Switched virtual circuit. Transmission Medium: Copper cable, Shielded twisted pair, UTP, Coaxial cable, Optical fiber cable. Telephone communication. Data Communication: OSI layers. Data Link layer: HDLC, Multiple access control- ALHO, Polling, CSMA/CD, Token passing. LAN: Ethernet- 10 to 100BaseT, Gigabit, 40 Gigabit, 10Base2, 10Base5, 10Base F, Token ring, FDDI, Repeater, Bridge, Router, Gateway. WAN: Packet switch network- X.25, Frame relay, ATM. Broadband Access Technology: ISDN, Cable modem, xDSL. Internet Protocol: TCP/IP, UDP, IPv4, IP

Computational Mechanics of Composite Structures

Compiler Design

Introduction to Numerical Methods in Engineering: Finite Element Methods Overview: Introduction: Historical background, basic concept of the finite element method, comparison with finite difference method; 1-D Applications in heat transfer, fluid mechanics and solid mechanics. Finite element analysis of 2-D problems: numerical integration. Introduction to Computational Fluid Dynamics: Basic equations of Fluid Dynamics: General form of a conservation law; Equation of mass conservation; Conservation law of momentum; Conservation equation of energy. Mathematical nature of PDEs and flow equations. Basic Discretization techniques: Finite Difference Method (FDM); The Finite Volume Method (FVM). Analysis and Application of Numerical Schemes: Consistency; Stability; Convergence; Fourier or von Neumann stability analysis; Modified equation; Application of FDM to wave, Heat, Laplace and Burgers equations. Integration methods for systems of ODEs: Linear multi-step methods; Predictorcorrector schemes; The Runge-Kutta schemes. Numerical solution of the incompressible Navier-Stokes equations: Stream function-vorticity formulation; Primitive variable formulation; Pressure correction techniques like SIMPLE method; Lid-driven cavity flow.

Computational Geomechanics

Prerequisite: CSD206 1. Revision of Computer Organisation. Floating point operations, 2. Instruction Set Architecture-8051/ARM 3. Pipelined Processor-Hazards 4. Advanced Pipelining and Instruction-Level Parallelism 5. Memory Systems 6. Storage Systems and I/O 7. Interconnection Networks 8. Multiprocessors 9. Parallel and Distributed Computing 10. High Performance Computing 11. Embedded Systems

Prerequisite: CSD204, CSD207* Protocol layers, physical and data link layers, multi-access, IP naming, addressing and forwarding, transport protocols, congestion control, routing protocols, wireless networks, quality of service, network security.

Prerequisite: CSD101 The course aims at providing an overview of computer organization and how computer design has evolved, analyzing major components including internal and external memory, input–output (I/O) bus interconnection system, analyzing internal organization of processor, control unit and use of hardwired & microprogrammed control unit. Additionally, computer arithmetic and instruction set architecture will be focused upon.

Cement, aggregate, concrete, chemical and mineral admixture, Mix design, Properties of fresh and hardened concrete, Durability and special concrete for detailed syllabus click here 

• Introduction and Mathematical Modeling: Classification of Control Systems: Open-loop and Closed-loop Systems, Effect of feedback, Mathematical modelling of physical/mechanical systems and its electrical equivalents, Translation systems; Rotational systems; Servomechanisms, Servomotors, Synchros, Block Diagram and Signal Flow representation and analysis. • Time - Domain Analysis Standard Signals; Time-response of 1st order and 2nd order systems, Dynamic / Transient and Steady-State Response, Steady-State Errors: Error Constants, Type-0, Type-1, and Type-2 Systems, Effect of Poles and Zeroes to Transfer Functions; Dominant Poles, Design and Response of Controllers: P; PI; PD and PID. • Stability Criterion and Technique Absolute and Relative Stability, Routh Stability Criterion: BIBO Systems; Necessary Conditions, Relative Stability Analysis, Root Locus Technique: Concept , Construction, and Rules of Root Loci, Effect of Poles and Zeros to G(s)H(s) function • Frequency – Domain Analysis Correlation between Time-Domain and Frequency-Domain Analysis, All-Pass System; Non-Minimum-Phase System and Minimum-Phase System, Polar Plot and Bode Plot: Properties and Constructions, Gain Margin and Phase Margin, Nyquist Plot: Nyquist Stability Criterion; Effect of Poles and Zeroes, Constant M and N Circles; Nichols Chart. • Compensation Networks Effect and Need of Compensatory Networks, Types: Lead Compensator; Lag Compensator and Lag-Lead Compensator, PID and Modified PID Controllers, Introduction to Digital Controllers: PLC and PAC Type Controllers • State-Space Analysis Conventional Control verses Modern Control Theory, Concept of State-Space Representation, Realizations of Transfer Functions; Diagnosis, and Solution of State-Space Equations; transition Matrix, Stability Criteria: Observability and Controllability of Linear Systems.

Core Concepts of Data Analysis

Cyber Physical Systems

Data and Knowledge Engineering

Data Mining

1 Introduction to data mining, Data Mining vs Knowledge discovery, Data Mining issues, Social Implications. 2 Introduction to data warehousing, Database/OLTP systems, Decision Support Systems, Multi-dimensional data model, Data Warehouse components, architecture and implementation, OLAP 3 Data Preprocessing: Data Cleaning, Data Integration and Transformation, Data Reduction, Discretization and Concept Hierarchy Generation 4 Statistical Measures: Point Estimation, Models based on Summarization, Bayes Theorem, Hypothesis testing, Regression and Correlation; Similarity measures. 5 Mining Association Rules in large databases, Mining Multidimensional Association Rules from Relational Databases and Data Warehouses, From Association Mining to Correlation Analysis, Constraint Based Association Mining 6 Classification, Prediction, Clustering and Visualization 7 Introduction to Advanced Topics: Mining complex data, Mining Time-series data, Spatial data mining, Multimedia data mining, Text mining, Mining the WWW. 8 Social impact of Data mining, Recent trends in Data mining research, Challenges and Future Scope.

Prerequisite: CSD101 The goal of the course is to teach fundamental data structures, whichallow one to store  collections of data with fast updates and queries. A detailed schedule will evolve as the semester progresses. Key topics will definitely include: C refresher, abstract data types, fundamental data structures, complexity of algorithms, analysis tools, linked lists, stacks and queues, search trees,maps, hashing, priority queues, graphs.

Introduction to graphical representation using free hand drawing and computer-aided drafting. Engineering graphics covers basic engineering drawing techniques such as Lines & Lettering, Geometrical Constructions, Orthographic and Isometric Projections, Sectional views, and Dimensioning. This course uses the latest release of computer-aided design (CAD) software commonly used in industry to introduce students to CAD interface, structure, and commands. An introduction to 3D printing will also be give, Students will draw the above mentioned projections and constructions on A1/A2 size drawing sheets, and later in AutoCAD. At the end of the course, students will be given a chance to print their models made on AutoCAD using a 3D printer. Students would be judged on mostly timely submissions of the Drawing Sheets (Assignments) and AutoCAD models, and a Major Exam during the semester.

• CMOS Fundamentals MOS Device Physics, Design of MOS switch, MOS diode/ active resistor • Amplifier Design MOS amplifiers, Common-Source stage (with resistive load, diode connected load, current-source load, triode load, source degeneration), source follower, common-gate stage, cascode stage. • Differential Amplifiers Differential amplifier, Single-ended operation, differential operation, basic differential pair, large-signal and small-signal behavior, common-mode response, differential pair with MOS loads, • Bias Circuits and References Passive and Active current mirrors, Bandgap References. • Frequency Response Frequency response of CS stage, CD stage, CG stage, cascade stage, differential pair. Feedback Topologies, Operational amplifiers: one stage op-amp, two-stage CMOS op-amp, Gain Boosting, Stability and Frequency Compensation

Design of Photo Voltaic Systems

Design Approach, Limit state analysis as per IS 800:2007, Design of connections, tension, compression member, Design of beams and truss, Plastic analysis of the structure  For detailed syllabus click here

• Introduction and Overview of Digital Communication Systems and Principles, Model, Analog vs. Digital Communication, Sampling, Quantization, PCM • Concept of Probability and Random variable: characterization and Pdfs • Geometric representation of Signal waveforms: Gram Schmidt procedure, Constellations • Digital modulation and demodulation schemes: performance analysis and comparison • Synchronization and Channel equalization • Digital Transmission: ISI, Matched filter, Maximum Likelihood detector, Transmitter, Receiver designs • Channel capacity, Coding and Decoding, Source Coding, Information Measure, Introduction to Error control: Viterbi, Linear Block codes, Convolution Codes, Hamming, and Turbo codes. • Introduction to Multiple Access Communication, Spread spectrum communications, OFDM

Discrete time signals and systems: Sequences; representation of signals on orthogonal basis; Sampling and reconstruction of signals; State Space representations. Discrete systems: attributes, Z-Transform, Analysis of LSI systems, Frequency analysis, Inverse Systems, Discrete Fourier Transform (DFT), Fast Fourier Transform algorithm, Implementation of Discrete Time Systems. Design of FIR Digital filters: Window method, Eigen based methods, Park-McClellan's method. Design of IIR Digital Filters: All pass based design, Butterworth, Chebyshev and Elliptic Approximations; Low pass, Band pass, Band stop and High pass filters, Matched filters, CIC filter design. Effect of finite register length in FIR filter design. Parametric and non-parametric spectral estimation. Introduction to Multirate signal processing. Application of DSP to Speech and Radar signal processing.

Programmable logic devices such as field programmable gate arrays (FPGAs), have become a major component of digital system design these days. The Course starts with an Introduction to the scope of Reconfigurable platforms and applications along with a complete FPGA design flow. Then use of a hardware description language (HDL; in particular Verilog) for the specification, synthesis, simulation, and exploration of principles of register transfer level (RTL) designs. In this class the students learn how to write HDL models that can be automatically synthesized into integrated circuits using FPGAs. Details of techniques to resolve common pitfalls in designing with FPGAs and best practices incorporated in Industry will be dealt with few case studies. Laboratory and homework exercises include writing HDL models of combinational and sequential circuits, synthesizing models, performing simulation, writing test bench modules, and synthesizing designs to an FPGA. The course also contains lab work and is based on a sequence of Verilog design examples leading to a final group project.

Dynamics and Vibration

Causes of earthquakes and seismic waves; Measurement of earthquakes and measurement parameters, Linear earthquake analysis: idealization of structures, equations of motion for SDOF and MDOF systems, Nonlinear earthquake analysis: force-deformation relationships, equation of motion, controlling parameters, Vibration control systems; Concepts of active and passive controls; Base isolation for earthquake resistant design of structures: isolation systems and their modeling. For details click here 

Electromagnetic Field Theory of Microwave Devices

Objective of the course: Electrical machines course is one of the important courses of the Electrical discipline. In this course the different types of DC generators and motors which are widely used in industry are covered and their performance aspects will be studied. UNIT – I: Electromechanical Energy Conversion: Electromechanical Energy conversion – forces and torque in magnetic field systems – energy balance – energy and force in a singly excited magnetic field system, determination of magnetic force - co-energy – multi excited magnetic field systems. UNIT – II: D.C. Generators & Armature Reaction: D.C. Generators – Principle of operation – Action of commutator – constructional features – armature windings – lap and wave windings – simplex and multiplex windings – use of laminated armature – E. M.F Equation – Problems. Armature reaction – Cross magnetizing and de-magnetizing AT/pole – compensating winding – commutation – reactance voltage – methods of improving commutation. Applications of DC generators in different types of industries. UNIT – III: Types of D.C Generators & Load Characteristics: Methods of Excitation – separately excited and self- excited generators – build-up of E.M.F - critical field resistance and critical speed - causes for failure to self-excite and remedial measures. Load characteristics of shunt, series and compound generators – parallel operation of DC series generators – use of equalizer bar and cross connection of field windings – load sharing. UNIT – IV: D.C. Motors & Speed Control Methods: D.C Motors – Principle of operation – Back E.M.F. - Torque equation – characteristics and application of shunt, series and compound motors – Armature reaction and commutation. Speed control of DC Motors: Armature voltage and field flux control methods. Ward-Leonard system. Principle of 3 point and 4 point starters – protective devices. Applications of DC motors in different types of industries. UNIT – V: Testing of D.C. Machines: Losses – Constant & Variable losses – calculation of efficiency – condition for maximum efficiency. Methods of Testing – direct, indirect and regenerative testing – brake test – Swinburne’s test – Hopkinson’s test – Field’s test – Retardation test – separation of stray losses in a DC motor test. Recommended books 1. Electrical Machinery, Fitzgerald, Mc Grawhill, 6th Edition, 2010 2. Electrical machinery and transformers, Guru and Hiziroglu, Oxford, 2004 3. Principles of electrical machines and Power Electronics - P.C.SEN, Jhon Wiley and sons(Indian reprint) 4. Electrical machines, Nagrath and Kothari, Mcg raw hill, 3rd edition. 2004

Electromagnetic Modeling by Finite Element Method

Review of scalar and vector fields Electrostatic and Magneto static Fields. Maxwell’s equations: Inconsistency of Amperes law, Continuity equation, Displacement current, Maxwell’s equations, Boundary conditions. EM waves: Wave propagation in free space, Conductors and dielectrics, Polarization, Plane wave propagation in conducting and non-conducting media, Phasor notation, Phase velocity, Group velocity; Reflection at the surface of the conductive medium, Surface Impedance, Depth of penetration. Poynting Vector: Poynting theorem, Poynting Vectors and power loss in a plane conductor. Transmission Line: Transmission line equations, characteristic impedance, open and short circuited lines, standing wave and reflection losses. Impedance matching, Smith Chart, Simple and double stub matching. Antenna & radiation: Scalar and vector potentials. Radiation from a current filament, half-wave dipole and small loop antennas. Antenna characteristics, radiation pattern, radiation intensity, directivity and power gain. Introduction to Electromagnetic Interference (EMI) and Electromagnetic Compatibility (EMC)

measuring linear distances and angles, chain, compass, plane table, levelling and contouring, Area and volume calculation, Theodolite, and Electronic devices in Surveying. For more details click here 

Embedded Systems Hardware

Course description not available.

Engineering Thermodynamics Assignment

Hydrologic cycle – types of precipitation, measurement of rainfall – spatial measurement methods – temporal measurement methods, precipitation and losses, stream flow measurement, hydrographs, floods and flood routing

Fundamentals of Mechanics, Equivalent Force-Couple Systems, Simple Resultant, Equilibrium of 2D and 3D Systems, Truss, Friction, Methods of Virtual Work and Potential Energy, Dynamics and Vibrations. For detailed syllabus click here

Environmental Air Pollution

X. Course Content: Soils and Clay Minerals: Geometric relationships of granular soil systems, Packings of particles and their primary structure, Mechanical behavior of granular systems, Clay Mineralogy; Structural Units of Soils; Particle Bonds, Bond Energies, and Linkages; Inter-particle Energies or Forces; Particle Arrangement and Clay Structures; Ion-Exchange Reaction and Ion-Exchange Capacity; Clay–Water–Electrolyte System; Characteristics and Structures of Some Typical Clay Minerals; Hydrophilic and Hydrophobic Soils; Characteristics of Hydrophobic and Hydrophilic Soils; Homoionic, Pure Soil and Man-Made Soil. Soil–Water–Air Interaction in the Environment: Soil Moisture Terminology; Nature of Water; Properties of Water and Water Substances; Solutions, Compounds, Mixtures, and Electrolytes; Types and Sources of Water; Electrochemical Characteristics of the Soil–Water System; Flow Routes Relating to Soil–Water Interaction; Flow Path–Wetting and Drying Process; Soil–Water Interaction in the Thermal Energy Field; Soil–Water Interaction in the Electric Energy Field; Concept of Geomorphic Process; Sensitivity of Soil to the Environment; Mechanisms and Reactions of Soil–Water–Air Interaction in the Environment; Sensitivity of soil to environment Hydraulic Conduction Phenomena: Infiltration, Percolation, and Retention; Capillarity phenomena; Hydraulic Conductivity; Stress, Pressure, and Energy of Soil–Water System; Drainage and Dewatering Systems; Seepage Flow, Flow Net, and Free Water Surface; Soil–Water Suction and Diffusivity; Diffusion and Migration Different Characteristics of Soil: Shrinkage Characteristics; Swelling Characteristics; Sorption Characteristics; Adsorption Characteristics, Cracking Phenomena and Mechanisms; Tensile Characteristics; Environmental Factors Affecting Tensile Strength; Fracture Characteristics; Soil Cracking–Fracture Interaction Thermal Properties of Soils: Thermal Properties of Soils; Characteristics of Heat and Heat Sources; Heat Transfer Process and Measurable Thermal Parameters; Soil–Heat Interaction; Thermal Conductivity and Resistivity of Soil; Effects of Heat or Temperature on Soil Behavior; Freezing and Thawing of Soils Electrical Properties of Soils and Water: Characteristics of Particles and Electricity; Measurable Parameters in Soil–Water–Electricity System; Electromotive Force and Resistance; Conductance and Capacitance; Fundamentals of Soil–Electrochemistry; Electrolytes and Electrical Reactions; Characteristics of the Dielectric Constant; Electric Conductivity and Electrokinetic Phenomena; Ground Improvements and Soil Decontamination by Electrokinetic Process; Electrophoresis and Electromigration; Electrochemical Process; Multienergy Effect on Soil–Water System; Electroviscous Effect; Thermoelectric Effect; Electromagnetic Effect Soil Contamination: Inorganic Contaminants; Organic Chemical Contaminants; Sources; Chemistry; Chemical Analysis of Contaminated Soils; Tools for Monitoring Contaminated Soils; Site Characterization; Risk Assessment; Soil Remediation Planning and Options XI. Reference Books: 1. Fang H.Y. and Chaney R.C., “Introduction to Environmental Geotechnology” CRC Press, 2016. 2. Fang H.Y. and Daniels J.L., “Introductory Geotechnical Engineering: An Environmental Perspective” CRC Press, 2006. 3. Sarsby R.W., “Environmental Geotechnics” ICE Publishing, 2013. 4. Yong, R. N., “Geoenvironmental Engineering, Contaminated Soils, Pollutant Fate, and Mitigation” CRC Press, 2000. 5. Reddi L.N. and Inyang H. I., "Geoenvironmental Engineering, Principles and Applications" CRC Press, 2000. 6. Yong R.N., Mulligan C.N., Fukue M., “Sustainable Practices in Geoenvironmental Engineering” CRC Press, 2017. 7. Sharma H.D. and Reddy K.R., “Geoenvironmental Engineering: Site Remediation, Waste Containment, and Emerging Waste Management Technologies” John Wiley & Sons, 2004. 8. Thompson C. and Nathanail P., “Chemical Analysis of Contaminated Land” Wiley-Blackwell, 2008. 9. Sparks D.L., “Environmental Soil Chemistry” Academic Press, 2002. 10. Bleam W., “Soil and Environmental Chemistry” Academic Press, 2016. 11. Journal of Geotechnical and Geoenvironmental Engineering: https://ascelibrary.org/journal/jggefk 12. Environmental Geotechnics: https://www.icevirtuallibrary.com/toc/jenge/ XII. Assessment Scheme: Individual Project (literature review, project work, report submission and project presentations) – 30% Quizzes – 20% Mid-term examination – 20% Final examination – 30% Students must score above 40% to pass this course

Cash Flow Analysis, Uncertainty and Risk Analysis. Various phases of Project, Project proposal, Components of planning, Objectives of planning, factors affecting planning. Job Planning: Bar diagrams and bar charts, C.P.M. , P.E.R.T. : Event identification, event time, network preparation and analysis, precedence network and cost interaction. principles of estimating. Methods of taking out quantities of items of work. Mode of measurement, measurement sheet and abstract sheet, bill of quantities. For detailed syllabus click here 

For details click here 

Module 1: Introduction: General Description of Finite Element Method: Steps in Finite Element Analysis Module: 2 Discretization of the domain, 1-D element and computational procedure and node numbering scheme, Interpolation Models, Different formulation technique Virtual Work and Variational Principle, Galerkin Method, PMPE. Numerical solution of finite element equations – Equilibrium problem, Eignenvalue problem and propagation problem Module 3: Element Properties : Natural Coordinates : Triangular Elements : Rectangular Elements : Lagrange and Serendipity Element family : Solid Elements : Isoparametric Formulation Numerical Integration: One Dimensional : Numerical Integration: Two and Three Dimensional. Analysis of truss, beams, frames and plates and solids of revolution. Coordinate Transformation – stress, strain and material property transformation. Dynamic Analysis. Module 4: Application to heat transfer problems. Module 5: Application to Fluid Mechanics Problems, ANSYS and ADINA demonstration.

Studies fluids ( liquids , gases , and plasmas ) and the forces, Fluid statics; Fluid kinematics; Fluid dynamics; Flow through pipes; Dimensional analysis and similitude; Boundary Layer Analysis; & Flow Measurement Devices For detailed syllabus click here

Course Objectives To understand basic principles of various mechanical operations, construction and working of the equipments. Course Outcome • Ability to understand fluid particle systems and equipment • Ability to select suitable size reduction equipment, solid-solid separation method and conveying system • Ability to analyze mixing processes • Understanding of fluid flow through fluidized beds • Understanding liquid-liquid extraction and Drying UNIT-I : Particle Size distribution Importance of particle size in reactions, particle size, shape and mass distributions,measurement and analysis, concept of average diameter. Screening Screening equipment, capacity and effectiveness of screen, effect of mesh size on capacity of screen. Particle size analysis:- mean diameter, derived diameter. Sieving -cumulative method and differential method. Transportation and storage of solids Studies performance and operation of different conveyor systems like Belt, Screw, Apron, Flight, pneumatic conveyor and elevators; Storage of solids and discharge pattern from storage bin. UNIT-II : Size Reduction Factors affecting size reduction, comminution laws : Kicks law, Rittingers law and Bonds law and their limitations. Crushing efficiency & power consumption. Size reduction equipments Grinder Construction and operation of Hammer mill, Ball mill, Ultrafine grinder Fluid energy mill, Cutting machines: knife cutters. UNIT-III : Separation based on particle Mechanics through liquids Free settling and Hinderd settling, Stokes law & Newtons law regimes of settling. Clarifiers and thickeners, flocculation, batch sedimentation (Kynch theory), rate of sedimentation. Filtration Theory and principle of solid liquid filtration, cake filters, discontinuous pressure filter: principle and working of filter press. Mixing & Agitation Principles of agitation, agitation equipment, Solid solid mixing equipment, Mixing effectiveness and Mixing index. Flow patterns in Agitated vessels,Impellers,Types of impellers,power consumption of Impellers. UNIT-IV : Liquid-Liquid Extraction Ternary equilibrium. Solvent selection. Single stage. Multi-stage cross-current, counter-current extraction. Equipment for liquid-liquid extraction. Design of Liquid Liquid Extraction Columns. UNIT-V : Drying Introduction, Equilibria, Drying rate curves. Mechanism of drying, types of dryers. Design of batch and continuous dryers. Solid Dryer Design. UNIT-VI : Fluidizaion Introduction to fluidization, Types of fluidization, Conditions for fluidization, Minimum fluidization velocity.

Soil mechanics for analysis and design of foundations, both shallow and deep, and of earth retaining structures. Theory of lateral earth pressure; Methods of analyses; Bearing capacity theories; Design of shallow foundations: strip footings, isolated footings, combined footings, rafts, Foundations in difficult grounds; Ground improvement techniques; Soil reinforcement. For detailed syllabus click here 

Foundations of Signal Processing

Fracture Mechanics

Geoenvironmental Engineering

Vibration theory; Engineering seismology, Wave propagation through soils; Dynamic soil properties, Strong ground motion; Seismic hazard analysis; Seismic ground response analysis; Liquefaction and lateral spreading; Seismic microzonation, Seismic analysis and seismic performance assessment of structures. For details click here 

Green Energy Studies

Introduction and basic concepts; Heat conduction equation; Steady heat conduction; Transient heat conduction; Fundamentals of convection; External forced convection; Internal forced convection; Natural convection; Heat exchangers; Fundamentals of thermal radiation; Mass transfer.

Course description not available.

Electric breakdown phenomenon in gases, liquid, and solid insulation materials, generation of high A.C. and D.C. voltages, generation of impulse voltages and currents, measurement of high voltages and currents, high voltage testing of electrical equipments, transients in power systems (lightning and switching induced transients), insulation coordination. Numerical computation of the electric field intensity in homogenous and multi-dielectric isotropic materials by finite element method (FEM). Extra-high voltage (EHV) and ultra-high voltage (UHV) transmission systems, mitigation of audible noise, radio interference, corona loss, and high voltage gradients. Modelling and analysis of HVDC systems, modelling and analysis of flexible A.C. transmission systems (FACTS).

Types of open channel flow, resistance relationships in open channel flow, Uniform Flow, use of momentum principle in open channel flow, concept of specific energy and specific force, velocity measurement, flow profiles, draw down and back water curves, hydraulic jumps, basic characteristics of jump, energy dissipation due to jumps, flow through culverts and bridge piers, types of turbines and pumps, operating characteristic curves, cavitation.

Unit-1 Introduction to Automobiles • Frame and Body: Layout of chassis, types of chassis frames and bodies, their constructional features and materials. • Transmission System: Clutch, single plate, multi plate, cone clutch, semi centrifugal, electromagnetic, vacuum and hydraulic clutches, Fluid coupling. Unit-2 Introduction to I.C. Engines • Historical and Modern Development, Nomenclature, Classification and Comparison of SI and CI engines, 4 stroke & 2 stroke engines, First Law analysis, Energy Balance. Unit-3 Combustion • Combustion in CI and SI engines: Ignition Limits, Stages of combustion, Combustion parameters, Delay period and Ignition Lag, Turbulence and Swirl, Effects of engine variables on combustion parameters, Abnormal combustion in CI and SI engines, Detonation and knocking, Control of abnormal combustion, Types of combustion chamber. Unit-4 Power Transmission • Requirements of transmission system; General Arrangement of Power Transmission system; Gear Boxes: Sliding mesh, constant mesh, synchromesh and epicyclic gear boxes, automatic transmission system, Hydraulic torque converter, overdrive, propeller shaft, universal joints, front wheel drive, differential, Rear axle drives, rear axle types, Two wheel and four wheel drive. Unit-5 Automotive Brakes, Tyres & Wheels • Classification of Brakes; Principle and constructional details of Drum Brakes, Disc Brakes; Brake actuating systems; Mechanical, Hydraulic, Pneumatic Brakes; Factors affecting Brake performance, Power & Power Assisted Brakes; Types of Wheels; Types of Tyre & their constructional details, Wheel Balancing, Tyre Rotation; Types of Tyre wear & their causes. Unit-6 Engine Testing and Performance • Performance parameters, Efficiencies such as thermal, mechanical, volumetric etc., Measurement of operating parameters such as speed, fuel and air consumption, Powers- IHP, BHP, FHP, , Numerical problems, India and International standards of Testing.

IC Technology

Independent Study (Fluid Structure Interaction)

Independent Study - Advanced Refrigeration

Industrial Environment Management

Water and Waste water Quantity Estimation, Water Distribution and Sewerage Systems, Elements of Water Supply Scheme, Water/Wastewater Quality Enhancement, Physicochemical Processes, Surface and Ground Water Treatment, Biological Processes for Water and Wastewater Quality Enhancement, Elements of Wastewater Disposal Schemes, Rural Water Supply and Sanitation, Water and Wastewater Effluent Treatment Plants, Recent trend & development in field of water and wastewater engineering. For details click here 

Information Retrieval

Course description not available.

Prerequisite: CSD304* This course aims on the concepts used in building Internet and web systems. The students would be able to understand how a web server is built.  11. Course Aims 1.    To introduce the concepts of Distributed systems, Cloud computing, web servers. 2.    To understand big data and streaming data processing on web servers. 3.    Understand concepts of naming and locating resources, directory systems, distributed data structures and applications. 4.    Apply the concepts learnt by applying them in an end-to-end project.

Internet of Things

Internetworking Concepts

Internship/Project-II

Course Summary This course focuses on design and analysis of algorithms for problems that are geometric in nature or modelled as a geometric problem. These include construction convex hulls, Voronoi diagrams, range queries, Euclidean MST and optimization problems like Linear Programming. Besides the well-studied algorithmic techniques, geometric problems have motivated many novel algorithmic strategies and data structures that the course will attempt to cover. Students are expected to be familiar with basic data structures and algorithm design techniques and high school level coordinate geometry. Since geometric problems require appropriate data representation, there will be some exercises that students will be expected to program and experience the challenges of such implmentations. Course Aims 1. To provide students with a basic understanding of representation of geometric objects and computational framework. 2. To introduce students to the design and analysis of fundamental geometric problems. 3. To develop understanding of relationship between complexity of geometric problems. 4. To develop some basic relationship between combinatorial geometry and analysis of geometric algorithms . 5. To enable students to get a flavour of implementing algorithms that rely on arithmetic and algebraic operations involving finite precision operands. Learning Outcomes On successful completion of the course, students will be able to: a) Evaluate the importance of modelling a given problem in terms of its geometric properties and how to exploit these algorithmically. b) Develop a good understanding of many fundamental geometric data structures like range-search trees and their extensions to higher dimensions. c) Develop some understanding of the computational complexity of basic geometric problems. Curriculum Content Syllabus 1. Geometric Fundamentals: Models of computation, lower bound techniques, geometric primitives, geometric transforms 2. Convex Hulls: . Planar convex hulls, higher dimensional convex hulls, randomized, output-sensitive, and dynamic algorithms, applications of convex hull 3. Geometric Searching: segment, interval, and priority-search trees, point location, persistent data structure, fractional cascading, range searching, nearest-neighbor searching 4. Proximity Problems: closest pair, Voronoi diagram, Delaunay triangulation and their subgraphs, spanners, well separated pair decomposition 5. Arrangements: Arrangements of lines and hyperplanes, sweep-line and incremental algorithms, lower envelopes, levels, and zones, applications of arrangements 6. Randomized Techniques:.Use of random sampling and Randomized incremental construction   Teaching and Learning Strategy a) Lectures will encourage students to develop intuitions behind designing efficient algorithms with interactive discourse. b) Extend techniques learned during lectures for solving assignment problems. c) Students will be expected to use online material available in internet to enhance their classroom learning. d) Discussion over email groups outside of class room to promote collective understanding of challenging issues. Teaching and Learning Strategy Class Hours Out-of-Class Hours Lectures 30 hours Programming Exercises 20 hours (estimated) Assignments 20 hours ASSSESSMENT. Assessment Strategy Formative Assessment: a) Assignments b) Programming Project c) Midterm Exam Summary Assessment a) Final Exam 16. Mapping of Learning Outcomes to Assessment Strategy Assessment Scheme Type of Assessment Description Percentage Assignments 10% Programming Assignments Two project-like assignments to be done in group of 2 10%+ 10% Midterm Exam 25% Final Exam 45% Total 100% Bibliography Books: 1. Computational Geometry by M. de Berg, M. van Kreveld, M. Overmars, and O. Schwarzkopf, pub: Springer. 2. Computational Geometry in C, J. O' Rourke, Cambridge University Press. 3. Algorithms in Combinatorial Geometry, H. Edelsbrunner, pub: Springer-Verlag (EATCS Monograph) 4. Computational Geometry - an introduction, Preparata and Shamos, pub: Springer-Verlag. 5. Computational Geometry: an Introduction through randomization, K. Mulmuley, Pub: Prentice Hall. 6. LEDA - a platform for combinatorial and geometric computing, Mehlhorn and Naher, pub: Cambridge. Online Resources: NPTEL Videos of a longer version of this course

Introduction to the underlying principles and applications of the emerging field of nanotechnology and nanoscience. Intended for a multidisciplinary audience with a variety of backgrounds. Introduces tools and principles relevant at the nanoscale dimension. Discusses current and future nanotechnology applications in engineering, materials, physics, chemistry, biology, electronics and energy.

Basics of computer programming, Introduction to C programming, data types, operators, control statements, functions, arrays, pointers, strings, formatted I/O, structures, unions, bit manipulation, file processing, brief introduction to data structures. Module 1: Introduction  Explain computers, hardware and software.  Understand the basic terminologies used in programming. Explain personal, distributed, client server computing. Explain machine languages, assembly languages and high level languages.  Module 2: Basics of C programming    Introduction to C programming, different data types, various operators (arithmetic, logical, bitwise, assignment) Control Structures: If, if…else, while, do…while, for, switch, break, continue   Module 3:  Arrays, Functions and Pointers  Functions: Defining and accessing, Calling Functions by value and by reference, Recursion.  Arrays: Defining arrays, passing arrays to functions, multidimensional arrays, sorting and searching arrays. Pointers: Declarations, operations on pointers, passing pointers to function, pointer arithmetic, pointers and arrays.   Module 4: Characters and Strings, Structures, Formatted I/O  Fundamentals of characters and strings, Character handling and string handling Structures: Defining, accessing structure members, using structures with functions  Module  5: File Processing, Data Structures  Reading/Writing  data  from/to  sequential  access  and  random access file. Introduction to stacks, queues, linked list and trees.

Introduction to VLSI

Kinematics of Machines

M. Tech Thesis-2

M.Tech Thesis

M.tech Thesis -1

M.Tech. (Communications) Project 1

Machine Learning: Tools, Techniques and Application

Machine Learning

Major Project

Major Project

Major Project 2

Manufacturing Processes

• The general objectives of Mass Transfer Operations-I are to discuss the fundamental concepts of mass transfer principles and to apply those concepts to real engineering problems. • This course will provide an overview of mass transfer operations at basic to an intermediate level. Coverage will be relatively broad. • This course applies the concepts of diffusion mass transfer, mass transfer coefficients, convective mass transfer, interphase mass transfer, equipment for gas-liquid operations, absorption, and distillation. • Each topic will be covered in logical sequence with relevant examples. • The goal is to provide students with the theoretical/analytical background to understand mass transfer operations and to tackle the sort of complex problems.

• The general objectives of Mass Transfer Operations-I are to discuss the fundamental concepts of mass transfer principles and to apply those concepts to real engineering problems. • This course will provide an overview of mass transfer operations at basic to an intermediate level. Coverage will be relatively broad. • This course applies the concepts of diffusion mass transfer, mass transfer coefficients, convective mass transfer, interphase mass transfer, equipment for gas-liquid operations, absorption, and distillation. • Each topic will be covered in logical sequence with relevant examples. • The goal is to provide students with the theoretical/analytical background to understand mass transfer operations and to tackle the sort of complex problems.

Course description not available.

Unit 1(Lecturer 1-3)  Units and Dimensions, Conversion of Units and conversion factors, Dimensional consistency and Mole unit, Density, specific gravity, mole Fraction and mass fraction, Concentration, Temperature and pressure. Unit 2 (Lecturer 4-8)  Basis, General Material Balance, Material Balance without chemical reaction, Material Balance with chemical reaction, Material balances with multiple subsystems. Unit 3 (Lecturer 8-14)  Recycle bypass and purge calculations, Ideal gas calculations, Ideal gas mixtures and partial pressure, Vapor pressure, saturation, partial saturation and humidity. Unit 4 (Lecturer 15-21)  The General Energy balance, Calculations of enthalpy changes, Enenrgy balances that account for chemical reactions. Unit 5 (Lecturer 22-28)  Heat of solution and mixing, Humidity charts and their use, Analyzign the degree of freedom in a steady state process, solving material and energy balance using flow sheeting codes.

Structural morphology, basic structural elements and force systems, Mechanical properties (strength, structural performance), Classical building materials, New age building materials, Miscellaneous materials: For detailed syllabus click here

DC and AC potentiometers, DC and AC bridges, measurement of low and high resistances, measurement of ‘L’ and ‘C’ , Sensitivity of bridge, electrostatic and electromagnetic interference-grounding methods; Instrument specifications and error analysis; Principle of analog voltmeter, ammeters, multi meters, single and three-phase wattmeter’s and energy meters, frequency meter and phase meter, Extension of Instrument range: CT and PT; Basics of digital measurements: A/D and D/A converters, Sample and Hold circuits, Electronic voltmeter, precision rectifiers, true r.m.s. voltmeter, Elements of Digital Multi meter; Cathode ray oscilloscope, Digital storage oscilloscope; Hall Effect sensors, clamp-on meter; Temperature sensors: Thermistor, RTD, Thermocouples, Bimetallic strip, pyrometer, Linear and Rotary Displacement sensors: LVDT, Angular encoder, Resolver, Piezoelectric sensors: Piezoelectric effect, pressure and vibration measurement, Strain Gauges: Principle of operation and applications.

Unit 1 Fundamentals of Design:- Introduction & Definitions, general procedure of Machine Design, System Design Cycle, Strength and Stiffness Design, Standards in Design, Selection Of Preferred sizes, selection of material, designation of Cast iron, steel and alloy steel Unit 2 Design against static and fluctuating loads Modes of failure, Factor of safety, Principal stresses, Stresses due to bending and torsion, Theory of failure, Cyclic stresses, Fatigue and endurance limit, Stress concentration factor, Stress concentration factor for various machine parts, Notch sensitivity, Design for finite and infinite life, Soderberg, Goodman criteria Unit 3 Design of Joints Design of Cotter and Knuckle joint, Riveting methods, materials, Types of rivet heads, Types of riveted joints, Caulking and Fullering, Failure of riveted joint, Efficiency of riveted joint, Eccentric loaded riveted joint, Design of butt and fillet weld joints, welded joints subjected to eccentric, bending and torsional loading, Terminology of threaded joint, Analysis of Bolted joints, terminology of screw, Eccentrically loaded bolted joints. Unit 4 Power Screws & mechanical Spring Introduction, advantages & applications, Forms of threads, multiple threads, Efficiency of square threads, Trapezoidal threads, Stresses in screws, Design of screw jack. Terminology in spring, Material for helical springs, End connections for compression and tension helical springs, Stresses and deflection of helical springs of circular wire, Design of helical springs subjected to static and fatigue loading Unit 5 Shaft & Keys Shaft: Cause of failure in shafts, Materials for shaft, Stresses in shafts, Design of shafts Subjected to twisting moment, bending moment and combined twisting and bending moments, ASME code for Shaft Design. Keys: Types of keys, splines, Selection of square & flat keys, Strength of sunk key, Design of couplings- muff and rigid flange couplings Unit 6 Gears and Bearings Gears: Introduction, Classifications, Selection of gear, law of gearing, Terminology, manufacturing, interference, backlash, Force analysis, Design the cross-section of arm, hunting tooth, beam strength for Gear tooth: Lewis Equation, Wear strength of gear tooth. Bearings: Classifications, Petroff’s Equation, Plain journal bearing, Hydrodynamic lubrication, Properties and materials, Lubricants and lubrication, Hydrodynamic journal bearing, Selection of Rolling Contact bearings, Stribeck’s Equation, Dynamic Load carrying Capacity.

Introduction to composite materials, advantages and applications of composite materials, Macromechanics of lamina and laminate, Classical Lamination Plate theory (CLPT), First Order Shear Deformation Theory (FSDT), Micromechanics of lamina, Bending, buckling and vibration of laminated plates, Inter-laminar stresses, Delamination models, Composite tailoring, Introduction to design of composite structures and nano composites. Introduction to nonlinear analysis of composite structures, Geometric nonlinear analysis of plates.

Mechanical Vibrations

(A high level overview of the aims of the course, student activities, nature of assessment.) This course aims to introduce the concept of dynamics. Single and multi degree freedom of problems are introduced. Problems pertaining to resonance, vibration isolation, and vibration absorption are discussed. Fundamentals of modal analysis is introduced as well. Using this knowledge, students are expected to apply the same to present day problems such as vibration based energy harvesting. Students are evaluated based on projects, quizzes, assignments and end semester exams.

Objective: This course primarily introduces complex mechanical behavior of Geomaterials, constitutive modeling of Geomaterials and numerical implementation of constitutive models in boundary value problems of geotechnical engineering. Learning Outcomes: Upon successful completion of the course, student should be able to • understand the underlying principle of continuum mechanics and its applications for Geomaterials •understand the fundamentals of plasticity theories in Geomechanics •write a numerical code to predict stress – strain response of a Geomaterials •incorporate constitutive models of Geomaterials in finite element analysis of Geotechnical problems Course Content: Module 1: Continuum Theory and Essential Mathematics – The continuum concept, Scalars, Vectors, and Cartesian Tensors, Tensor algebra in symbolic notation – summation convention, Indicial notation, Transformation of Cartesian tensors, Principal values and principle directions of symmetric second order tensors, Tensor fields, Tensor Calculus, Integral theorems of Gauss and Stokes Module 2: Stress Principles – Body and surface forces, Cauchy stress principle, The stress tensor, Force and moment equilibrium, Stress tensor symmetry, Stress transformation laws, Principal stresses, Principle stress directions, Plane stress, Stress Invariants, Deviator and Spherical stress states, Octahedral shear stress Module 3: Kinematics of Deformation – Particles, Configurations, Deformation, and Motion, Material and Spatial Coordinates, Lagrangian and Eulerian Descriptions, The Displacement Field, The material derivative, Deformation gradients, Finite strain tensors, Infinitesimal deformation theory, Stretch Tensor, Rotation Tensor, Velocity Gradient, Rate of Deformation, Material derivative of line elements, areas and volumes Module 4: Mechanical Behavior of Geomaterials – Basic mechanical characteristics in monotonic tests under drained conditions, Influence of confining pressure, Influence of Lode’s angle and phenomenon of strain localization, Undrained response of Geomaterials, Pore pressure evolution, liquefaction, Basic mechanical characteristics in cyclic tests, hysteresis and liquefaction Module 5: Constitutive Modeling of Geomaterials – Basic concepts of the theory of plasticity, Elastic – perfectly plastic formulation, Isotropic strain hardening formulations, combined isotropic – kinematic hardening rules, Numerical integration of constitutive relations Recommended Books: [1] Mase and Mase, Continuum Mechanics for Engineers, CRC Press [2] Mitchell and Soga, Fundamentals of Soil Behavior, Wiely [3] Lambe and Whitman, Soil Mechanics, Wiely [4] S, Pietruszczak, Fundamental of Plasticity in Geomechanics, CRC Press Assessment Scheme: [1] Assignment: 20 % [2] Project: 20% [3] Mid Semester Exam: 30 % [4] Final Exam: 30 %

UNIT-I Introduction: Concept of stress and strain, Hooke’s law, stress at a point, stresses and strains in bars subjected to axial loading. Elongation of Circular bar of uniformly varying cross section, Superposition theorem, Elongation of trapezoidal plate of constant thickness, Elastic Constants: Young’s modulus, Poisson ratio, modulus of rigidity, bulk modulus, Relationship between elastic constants, volumetric strain. Compound Stress: Stress on inclined plane, Principal stresses and principal planes, Mohr’s circle of stress. UNIT-II Shear Force & Bending Moment: Beam & its type, type of loading, shear force & bending moment. SFD & BMD diagram for cantilever, simply supported beam for different types of loading, point load, uniformly distributed load, varying distributed load. Bending and Shear Stress in a Beam: Theory of Simple Bending, Bending Equation & its practical applications , section modulus, composite beams, beam of uniform strength, eccentric loading, middle third rule, middle quarter rule, shear stress in beam, rectangular, circular, I section. UNIT-III Deflection of Beams: Differential equation of Flexure, Relationship between shear force, bending moment & deflection, double integration method, Macaulay’s method. Torsion of Shaft: Theory of torsion, polar modulus, power transmitted by shaft, torsional rigidity, shaft in series, shaft in parallel, tapered shaft UNIT-IV Cylinders: Thin cylinders, stresses & strains in cylinders, Thick cylinders, Lame’s theory, compound cylinder, stresses & strain. Column: Classifications of column, nature of failure, Euler’s column theory, Column with both ends hinged, one end fixed and other free, both end fixed, one fixed and other hinged, effective lengths of columns.

Mechatronics

Memory Design and Testing

Microfluidics

Evolution of Digital Design Methodology through SSI, MSI, LSI and VLSI technologies; Emergence of Programmable Digital Systems based on Standard Hardware; Microprocessor as the Basic Building Block for Digital design; Essential Ingredients of a Microprocessor; Datapath Design; Control Unit design; Microprogramming; Pipelining; Memory Organization – Cache and Virtual Memory; Input/Output Organization; Interrupts and DMA; Architecture and Programming of the 8051 Microcontroller. Experiments will include Microprocessor building blocks – both in actual hardware and in verilog simulation; 8051 trainer kits and simulators along with basic hands-on training of MPU/MCU, programming and their use in real world problems.

Introduction of Microwaves and their applications. Waveguides: Rectangular Waveguides, Solution of Wave equation in TE and TM modes. Power transmission and Power losses. Excitation of modes in Rectangular waveguides, circular waveguides: Basic idea of TE and TM modes, field patterns, TEM mode of propagation. Waveguide Components: Scattering matrix representation of networks, Rectangular cavity and circular cavity resonators. Waveguide Tees, Magic Tees. Hybrid rings. Waveguide corners, Bends and twists, Directional couplers, Circulators and isolators, Windows, Irises, tuning screws. Measurement: frequency, Wave length, VSWR, Impedance, power. Microwave Tubes: Klystron, Reflex Klystron, Magnetron, TWT, BWO: Their schematic, Principle of operation, performance characteristics and application. Semiconductor Devices: Construction, Operation and Practical applications of PIN diode, varactor and Tunnel diode, Gunn diode, IMPATT, TRAPTT diodes, Maser MIC: Introduction to microstrip lines, Parallel Striplines, Coplanar striplines, Shielded striplines, Slot lines, Transitions, Bends and Discontinuities.

Mixed Signal Design and Testing

 Introduction to Process Modeling and Simulation • Industrial usages of Modeling and Simulation • Fundamental Laws  Conservation of Mass (Continuity Equation)  Conservation of Momentum (Equation of Motion)  Conservation of Energy  Transport Equations  Equations of State (EOS)  Equilibrium Relationships  Chemical Kinetics  Mathematical Modeling of Chemical Engineering Systems • Batch Reactors • CSTRs (single and series combinations) • Multi-component Flash Drum • Batch Distillation • Ideal Binary Distillation Column • Other equipments  Computer Simulations • Introduction to Simulation Techniques • Numerical Methods  Iterative Convergence Methods o Interval Halving o Newton-Raphson o Muller Method, etc.  Numerical Integration of ODEs  Simulation of Models Developed for Chemical Engineering Systems • Three CSTRs in series • Gravity Flow Tanks • Batch and Continuous Reactors • Distillation Columns (Binary and Multicomponent)

Modern Control

COURSE SUMMARY This course aims to teach the fundamentals and technical aspects of Datawarehouse, BigData, Cloud Storage and Data Visualization and as well how it is implemented in real life. COURSE AIMS a. To provide students with fundamental and technical knowledge on Datawarehouse, BigData, Cloud and Data Visualization b. To enable students to understand how real-life situations are modelled or implemented using various tools / components of BigData and Data Visualization c. To develop skills in data transformation, data processing and data visualization LEARNING OUTCOMES On Successful completion of this course, students will be able to: a. Understand the fundamentals and develop technical skills on data ingestion, data processing, data transformation and data visualization b. Understand and appreciate the importance of data in business PRE-REQUSITES Students enrolling to this program are expected to have good knowledge on the following areas. a. Object Oriented Programming Concepts b. Basic programming experience in Java or C or C++ c. Basic SQL programming d. Familiarity / Exposure with UNIX commands will be advantage CURRICULUM CONTENTS No. Module Sub Topics Evaluation 1Datawarehouse Essentials • Datawarehouse & Business Intelligence Basics Unix Basics 2. Big Data Foundation • Understanding BigData and Evolution of Hadoop, Hadoop Eco System Architecture, HDFS, File formats, File handling Sqoop Overview, Architecture, Freeform SQL, Working with Hive, Connectors Hive Overview, Data Processing Kafka Overview, Architecture, Working with Kafka • Spark Overview, Spark RDD, Spark Streaming 3. Data Lake on Cloud - Azure Data Lake • Introduction to Cloud • Azure Data Lake Architecture • Azure Data Lake Storage • Data Ingestion into DL - ADF • Azure Databricks 4 Building Datawarehouse on Cloud - Snowflake • Cloud Data Warehousing • Traditional vs Cloud ETL • Introduction to Snowflake • Connecting to Snowflake • Table & Data operations in Snowflake • Using Snowflake 5 Data Visualization & Reporting – PowerBI • Getting started with Data Visualization • PowerBI Architecture • Data Acquisition & Transformation • Data Modeling • Dashboarding & Reporting • Data Analytics Expression (DAX) • Power BI Service • Advanced Analytics in PowerBI Using R 6 Final Project Use case covering the course curriculum will be provided. 10. TEACHING AND LEARNING STRATEGY This course will be faculty driven course. This is aimed to provide conceptual knowledge and as well hands-on experience through industry relevant use-cases / scenarios as hands-on exercises. Environment for hands-on exercises will be enabled and as well session with SME (Subject Matter Expert) will be enabled to clarify the technical queries. 11. ASSESSMENT STRATEGY Grading will be relative. However minimum 40% is required to pass the course. Assessment Model No. Type of Assessment Description Percentage (%) 1 Hands-On Exercise Review Work on the given hands-on exercises at the end of every module and present the output. 40% 2 Class Participation In-class surprise Quiz/ activities/ Discussions/ Problem solving/ Attendance (physical presence in class mandatory to get scored in this component) 10% 3 Mid-Term Exam Objective Type Exam 20% 4 End Term Exam Work on the given use-case and submit the final output. 30%

Nanomaterials: Synthesis, Properties and Applications

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Network Design and Performance

Non-Conventional Energy Resources

Numerical Methods

Numerical Methods In Chemical Engineering

Prerequisite: CSD101 Introduction, Elementary Programming, Selections, Loops, Methods, Arrays, Strings, Objects and Classes, Inheritance and Polymorphism, GUI Basics and Components, Graphics, Exceptions, Abstract Classes and Interfaces, Event-Driven Programming, Binary I/O, Recursion, Java Collections Framework.

Operations Planning and Control

Operations Research

Course Summary Basics of optical fiber communication system including signal propagation through optical fibers, fiber impairments, components, devices and optical fiber communication system design. Course Aims The proposed course aims to expose the students to the basics of optical fiber communication system including signal propagation through optical fibers, fiber impairments, components, devices and optical fiber communication system design. Learning Outcomes On successful completion of the course, students will be able to: 1. Be familiar with Optical Fiber Communication System and its parameters including single and multimode fibers, fiber couplers, connectors etc.. 2. Demonstrate basic fiber handling skills, including cleaving and splicing. 3. Understand and measure properties of optical sources, detectors and receivers. 4. Design, construct and test a basic optical fiber communication link/system. 5. Write a good technical report and clear and informative presentation. 13. Curriculum Content Syllabus Module 1: Overview of optical communication, other forms of communication systems, Introduction to vector nature of light, Propagation of light, Ray model and wave model. Optical fiber: Types, Structure and wave guiding fundamentals, Optical fiber modes and analysis, Step and Graded Index Fibers. Module 2: Signal degradation in Optical fiber due to dispersion and attenuation Module 3: Optical Sources: Basic light emission mechanism in semiconductors, LED and Lasers, Optical Detectors: Basic light absorption concepts in semiconductors, photodiodes, p-i-n detectors, detector responsivity, noise, Optical Receivers. Module 4: (a) Optical Power Launching and Coupling: Lensing Scheme for coupling improvement, Fiber-to-Fiber Joints, Splicing Techniques, Optical fiber connectors. Optical modulation & Receiver Operation: Analog & Digital modulation, Fundamental receiver operation and performance calculation, Preamplifier design, Analog receivers, heterodyne receiver. Transmission link analysis, Point to point links, Introduction to coherent optical communication & applications of optical fibers. (b) Optical fiber system fundamentals: BER measurements, quantum limit, loss and dispersion limits. Optical Switches – coupled mode analysis of directional couplers and electro-optic switches. Module 5: Basics of Optical amplifiers, nonlinear effects in optical fiber links, Optical amplifiers and soliton based Communication. Teaching and Learning Strategy a) Lectures will incorporate brief hand-outs, quizzes along with white board / black board and multimedia teaching methods. Additionally, students will be motivated for working in groups on problems related to the course. b) Laboratories will be used for demonstration of different optical fiber communication components and their working and troubleshooting. c) Blackboard will be used to share e-books and other class material, and to enable online discussions. Teaching and Learning Strategy Class Hours Out-of-Class Hours Lectures 42- hours 80- hours Laboratories 20- hours 20- hours PART C: ASSSESSMENT. Assessment Strategy Formative Assessment: a) Assignments 10% b) Quizzes 05% c) Mini project / Lab 25% d) Midterm Exam 25% Summary Assessment a) Final Exam and/or project 35% 16. Mapping of Learning Outcomes to Assessment Strategy Assessment Scheme Type of Assessment Description Percentage Lab / Projects 25% Assignments Quizzes 10% 05% Midterm Exam 25% F Final Exam 35% Total 100% Bibliography Books / References- • G. Keiser, Optical Fiber Communications, TMH. • A. Ghatak & K. Thygarajan, Introduction to Fiber Optics, Cambridge. • J. Gowar, Optical Communication Systems, PHI. • J.M. Senior, Optical Fibre Communications: Principles & Practice, PHI

Optical Networks

Course description not available.

The course will enable the students to appreciate the power of analytical models in the analysis of performance of computer communication networks. 11. Course Aims The emphasis will be to analyze the performance of network queues under Markovian framework when inter arrival time of network packets shows exponential distribution. Further, the limitation of Markovian assumption will be underlined when the traffic characteristics are governed by heavy tail distribution.

Aerial photographs and photography is essential component. This course introduces students to its basics such as its history, importance, using aerial photographs for measurements of various structures on earth’s surface. Global Positioning System (GPS), methods of capturing data using GPS, determining and increasing accuracy of GPS data.

Physico-chemical Processes in Environmental Engineering

Theory (and related laboratory experiments) in the following broad topics Power-Electronic Devices: Construction and characteristics of Power diode, Thyristor, TRIAC, MOSFET and IGBT. Rectifiers (AC to DC converters): Study of single phase AC to DC controlled rectifier, three phase AC to DC controlled rectifier, application of AC to DC rectifiers in HVDC transmission and DC motor control. Switched mode power supplies (DC to DC converters): Study of non-isolated buck, boost and buck-boost type DC to DC converters, Isolated DC to DC converters: forward converter and fly back converter. Inverters (DC to AC converters): DC to single phase AC conversion, DC to three phase AC conversion, Different types of pole voltages, PWM Inverter, PWM techniques – Sine wave PWM (SPWM), hysteresis control based PWM, variable-voltage variable-frequency inverter application in AC motor drive. AC to AC converters: phase angle control keeping frequency unchanged, AC chopper, cyclo-converter.

Steam Power Cycles, Steam Turbines, Condensers And Feed Heaters, Diesel Engine Power Plant, Gas Turbine Power Plant & Nuclear Power Plant.

Introduction to Industrial Engineering: History, Definition, product/process strategy, trend in IE, Scope of IE, Productivity, Efficiency and Effectiveness.  Production Planning and Control: Functions, forecasting, sequencing, operations planning; Gantt chart, work order  Aggregate Production Planning, Material Resource Planning  Inventory Control: Scope, purchasing and storing, economic lot size; ABC Analysis.  Work Study: Scope, work measurement and method study, standard data, ergonomics and its industrial applications. S.No. Title Author 1 Modern Production / Operations Management E.S. Buffa, and R.K. Sarin, , John Wiley & Sons 2 Industrial Engineering and Management Ravi Shankar 3 Industrial Engineering and Management O.P. Khanna 4 Industrial Engineering and Management C.Natha Muhi Reddy 5 Specifications of Industrial Engineering and Management: A New Perspective Philip E Hicks 6. Quantitative Models in Operations and SCM G. Srinivasan

Most industries operational today aim to automate their processes to the greatest extent. Automatic process control, if programmed and maintained carefully, eliminates the human errors that have led to tragic plant-wide accidents in the past. This introductory course covers basics of process control. The course begins with the introductory concepts, followed by the mathematical modelling. This knowledge base will be beneficial to understand the dynamic behaviour of chemical processes. A major focus will be on the design of feedback controllers, including their tuning and stability analysis. Later, discussions on several advanced control systems will introduce the class to actual systems employed in industries. The course ends with exposing the class with designing practical plant-wide control systems.

 Concept of commissioning, Hierarchy of decisions, HAD separation system, Engineering economics: operating cost, total capital investment(TCI), fixed capital investment (FCI), working capital investment(WCI), TPC, Depreciation, Cash flow, Time value for money, Annuities, Measurement of profitability.  Input information at design stage, application of hierarchy of decisions, Column sequencing, Heat exchanger network synthesis(HENS), Pinch Design Method, Tranship method, Application of mixed integer programming to solve design problem.

Introduction to various codes (ASTM, API.) used in chemical process industries and their application. Basic Engineering design approach and select ion of pressure vessel components such as Head, closure, flanges, gasket, nozzles etc, Design of process vessel support Mechanical design of process equipment such as pressure vessel, shell & tube Heat Exchanger, plate and packed tower, reactors. Material specification.

Process Optimization

Production Planning and Control

Project

Project

Project-1

Project-I

Circuit breakers: Air circuit breakers, oil circuit breakers, vacuum circuit breakers, SF6 gas circuit breakers, transient rate of rise of recovery voltage, arc interruption theories, capacitor switching, inrush current of a transformer, Relays: Overcurrent protection, differential protection, protection of transformers, protection of generators, carrier aided protection of transmission lines, distance protection schemes; impedance relay, mho relay. Microprocessor based relays.

Course Summary This industry-oriented course is designed to cover the scripting languages Python and Perl for automation and data science applications. Students will learn to analyse data along with data visualization techniques using Python. Using Perl scripting language, students will learn to prepare and integrate reports from various sources such as different text files. This course will also cover web programming, web automation, and GUI programming using Perl Scripting language. Students will undertake various hands-on projects. Course Aims 1. To provide students with an understanding of the nature and practice of modern mathematics. 2. To provide students with a working knowledge of Python and PERL scripting language. 3. To develop students’ skills in programming efficiently. 4. To develop students’ skills in carrying out the industry standard projects Learning Outcomes On successful completion of the course, students will be able to: a) Use the language and notation of scripting to carry out the automation b) Understand and explain the fundamental concepts of the foundations of Python and Perl their role in data science and automation. c) Demonstrate ability to think, analysing, and creating proofs, examples. Curriculum Content Syllabus Python Python Programming concepts: Conditional Statement, Looping, Control Statement String Manipulation, Lists, Tuple, Dictionaries, Functions, Modules Data Processing: Importing Datasets, Cleaning the Data, Data frame manipulation, Summarizing the Data, Building machine learning Regression models, Building data pipelines. Data Analysis libraries: Pandas, Numpy and Scipy libraries to work with a sample dataset. Scikit-learn for machine learning algorithms. Data Visulization: Matplotlib, Working on mini projects Perl Perl Programming Concepts: writing scripts that create and change scalar variables, control structures to branch or loop, arthimetic operators, assignment operators, logical operators, conditional operator, range operator, Create and change array variables, Create and change hash variables Data Processing: Generate random number, formatting data File Handling: Read files supplied on the command line, and search the files for specific text patterns, execute regular expression tests, and recognize backwards referencing. Working on mini projects Teaching and Learning Strategy a) Lectures will incorporate break-outs for working in groups on problems b) Laboratories will be used for problem-solving and resolving student issues. c) Blackboard will be used to share e-books and other class material, and to enable online discussions. Teaching and Learning Strategy Class Hours Out-of-Class Hours Lectures 30 hours 30 hours Laboratories 28 hours 10 hours PART C: ASSSESSMENT. Assessment Strategy Formative Assessment: a) Assignments b) Quizzes c) Mini project d) Midterm Exam Summary Assessment a) Final Exam and project 16. Mapping of Learning Outcomes to Assessment Strategy Assessment Scheme Type of Assessment Description Percentage Projects Explain the fundamental concepts of foundations of mathematics and their role Use set theory and logic to communicate mathematics Analyse and create proofs, examples and counter-examples 20% 5% 5% Quizzes Use set theory and logic to communicate mathematics 15% Midterm Exam Use set theory and logic to communicate mathematics Analyse and create proofs, examples and counter-examples 5% 15% F Final Exam Explain the fundamental concepts of foundations of mathematics and their role Use set theory and logic to communicate mathematics Analyse and create proofs, examples and counter-examples 10% 5% 20% Total 100% 17. Bibliography Books: 1. Programming Python: Powerful Object-Oriented Programming 4th Edition, by Mark Lutz, Publisher: O'Reilly Media 2. Advanced Perl Programming, by Sriram Srinivasan, Publisher: O'Reilly Media Online Courses: Not Applicable

Real Time Systems

Course description not available.

Introduction to Remote Sensing • Definition of Remote Sensing, History and scope of remote sensing, Electromagnetic Radiation (EMR) and atmospheric windows, Types of remote sensing. • Thermal Emission of Radiation, Black body radiation, Radiation Principles: Plank’s Law, Stephen Boltezman law, Wien’s displacement law, Kirchoffs Law, Spectral signatures, Reflectance characteristics of Earths cover types. Satellite platforms, sensors and resolutions • Platforms: Airborne and Space borne, Sensors: Passive and Active, resolutions across track and along the track scanning, Optical sensors, Thermal scanners, and Microwave radar. Aerial Photography • Satellite missions and image characteristics: Landsat series SPOT series, IRS satellite series, NOAA and MODIS series, etc. • Image resolution: Spatial (IFOV), Spectral, Radiometric and Temporal, Image Preprocessing: radiometric, atmospheric and geometric corrections. Application Studies • Applications of Remote sensing in Environmental monitoring and assessment • Applications of Remote sensing in Disaster Management • Land use/ Land Cover Analysis Concepts on GIS • Definition, Basics of GIS and History, Geographic objects: point, line, area and their computer representation, Applications of GIS in various sectors. • GIS Database (types, structures) and data Model, Geographic information and spatial data types (Map, Attributes, Image data). Data formats and Models • Raster data formats, vector data formats, advantages and disadvantages of raster and vector data formats. Data acquisition and analysis • Data acquisition (Inputs from RS imagery, GPS), Data entry & preparations (input, editing and attributing). Map scanning and digitizing, data conversion, linking of spatial and non-spatial data. • Data manipulation and Spatial Data Analysis (Vector/Raster Geoprocessing)- Buffering, Viewshed Analysis, Raster/Vector Overlay Analysis, Map Algebra Introduction to GIS software and Case studies • Issues in spatial data quality, introduction to metadata and its importance. • GIS Software, Introduction to Open Source GIS

Introduction to Research Methodology, Scientific Ethics (or norms and conventions), Sources of Information for Research Articles, Literature Review and Formulation of a Research Problem, Conducting Research in the Laboratory, Writing a Manuscript: For Details click here 

Research Methodology

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RESEARCH SEMINAR

RF and Microwave Engineering

Self Study I

SelfStudy

Semiconductor Devices

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Seminar I

1. Classification and representation of signals and systems, Continuous time & Discrete time signals and systems, Impulse and Step response of a system, linear systems, linearity, time invariance, causality, signal properties -LTI systems, Convolution 2. Fourier series, Fourier transform and properties, relation between Fourier transform and Fourier series, Sampling and reconstruction, FFT, DIT FFT, DIF FFT Algorithm, Inverse DFT and Convolution using FFT 3. Laplace transforms- representation of signals using continuous time complex exponentials, relation of Laplace and Fourier transform, concept of ROC and transfer function- block diagram representation, Inverse Laplace transform, properties, analysis and characterization of LTI systems using Laplace transforms 4. Z transforms- representation of signals using discrete time complex exponentials-properties, inverse Z transforms, ROC, Analysis and characterization of LTI systems using Z transforms, block diagram, transfer functions 5. Introduction to random variable and random process, State space analysis, Introduction to Two port networks and parameters

Software Project Lab

Wave propagation in elastic rods, in an elastic infinite medium, and in semi-elastic half space, wave generated by surface footing. Field and laboratory tests for evaluation of dynamic properties of soil under vertical vibration, coefficient of elastic uniform compression, coefficient of elastic uniform shear, damping ratio and shear modulus of soils. Liquefaction of soils, criterion and factor affecting liquefaction of soil, laboratory and field studies on liquefaction, liquefaction studies in oscillatory simple shear, evaluation of liquefaction potentials, liquefaction of clay.

Earth and Sun relationship; Solar collectors; Thermal energy storage; Solar refrigeration and desiccant; Solar power generator.

Solid State Devices

Special Topics in Communication Engineering

Special Topics in Sensor Networks

Research Methodology : Self Study

Statics and Dynamics

Importance of statistics, Data generation for statistics, Random Sampling, Hypothesis testing and goodness of fit, Analysis of variance, Statistics in the context of Civil  Engineering: Normal distribution, Characteristic strength, Factor of Safety, Design loads and ultimate capacity, Economic implications of confidence factor and design methodology.

Structure, load, response, Force response in statically determinate structures, Displacement response in statically determinate structures, Analysis of statically indeterminate structures For more details click here 

Fundamentals of vibration,  Dynamic equilibrium of structures,  Formulation of dynamic models for discrete and continuous structures,  Response of single degree of freedom systems to periodic and non-periodic excitations,  Response spectra,  Response of two degree of freedom systems,  Response of multi-degree of freedom systems,  Response of continuous systems,  Random Vibrations For more details click here

Structural Dynamics

Structural Optimization

Surface Engineering

Course description not available.

System on Chip

Systems Programming

Prerequisite: CSD201, CSD205 Finite automata, nondeterminism, regular languages ; pushdown automata, context-free languages, grammars; Turing machines, computability; complexity, NP-completeness ; hot topics (possibly including cryptography, on-line algorithms, game theory, social networks, randomization, and quantum computing).

Thesis work stage 1

Topics in Mathematics

UNIT I- Electrical power Generation Generation of electrical energy: Basic structure of power system; demand of electrical system – base load, peak load; controlling power balance between generator and load, advantages of interconnected system; Thermal power plant – general layout, turbines, alternators, excitation system, governing system, efficiency; Hydel power plant – typical layout, turbines, alternators; Nuclear power plant – principle of energy conversion, types of nuclear reactors; brief overview of renewable energy sources. UNIT II – Introduction to Transmission and Distribution in electric power system Structure of electric power system - different operating voltages of generation, transmission and distribution – advantage of higher operating voltage for AC transmission. An introduction to EHV AC transmission, HVDC transmission and FACTs. Mechanical design of transmission line between towers – sag and tension calculations using approximate equations taking into account the effect of ice and wind. UNIT III - Transmission Line Parameters Parameters of resistance, inductance and capacitance calculations - single and three phase transmission lines - single and double circuits - solid, stranded and bundled conductors - symmetrical and unsymmetrical spacing – transposition of lines - concepts of GMR and GMD - skin and proximity effects - interference with neighboring communication circuits. Corona discharge characteristics – critical voltage and loss. (Simple diagrams of typical towers and conductors for 400, 220 and 110 kV operations) UNIT IV- Modelling and Performance of Transmission Lines Transmission line classification - short line, medium line and long line - equivalent circuits – Ferranti effect - surge impedance, attenuation constant and phase constant - voltage regulation and transmission efficiency - real and reactive power flow in lines – power circle diagrams – shunt and series compensation. An introduction to power angle diagram - surge-impedance loading, load ability limits based on thermal loading; angle and voltage stability considerations. UNIT V- Insulators and Cables Classification of insulators for transmission and distribution purpose – voltage distribution in insulator string and grading - improvement of string efficiency. Underground cables - constructional features of LT and HT cables – insulation resistance, capacitance, dielectric stress and grading – tan δ and power loss - thermal characteristics. UNIT VI- Substation, Grounding System and Distribution System Classification, functions and major components of substations. Bus-bar arrangements - substation bus schemes - single bus, double bus with double breaker, double bus with single breaker, main and transfer bus, ring bus, breaker-and-a-half with two main buses, double bus-bar with bypass isolators. Importance of earthing in a substation. Qualitative treatment to neutral grounding and earthing practices in substations. Feeders, distributors and service mains. DC distributor – 2-wire and 3-wire, radial and ring main distribution. AC distribution – single phase and three phase 4-wire distribution.

Transport Infrastructure

Kinematics, transport theorem, convective momentum, and energy, mass transport, momentum transport and energy transport, Continuity equation for multi-component system, constitutive relations, boundary layer theory, turbulence, Energy transport by radiation.

Overview of travel behavior in Indian cities; introduction to transport-related data sources in India; introduction to land use and transport interaction; definitions of terms and basic principles; introduction to the four-stage modelling process. The first stage (generation), category analysis, regression analysis and modelling trip ends. The second stage (trip distribution): estimating the trip matrix. The third stage (modal split): predicting mode use, The fourth stage (assignment): network assignment. For more details click here 

Transportation Law Studies

Unconventional Manufacturing Processes

VLSI Design and Modelling

One of the main objectives of this course is to prepare students for Final year projects in VLSI and Microelectronics area and for those who are planning for research/VLSI industry oriented career (MS/PhD and core semiconductor industries etc,). The broad topics that will be covered in this course: Introduction to VLSI, MOSFET basics, short channel MOS issues, CMOS basic flow, Layout and design rules, basic electrical parameters, Scaling rules, Design of digital and combinational blocks, emerging device technologies trends as per ITRS.

The objective of this Course is provide: To understand water requirement for the irrigation crops To know the design criteria for safe design of canal To understand design concept of diversion headwork’s Analyze forces acting on gravity dam its failure and carry out stability analysis of gravity dams Understand design principles of spillways To understand the about storage capacity of reservoirs Learning Outcomes: Upon successful completion of the course, student should be able to Calculate the crop water requirements Estimate the capacity of a reservoir for different purposes To design the various hydraulic structures such as irrigation canal, diversion headwork’s, gravity dam, spillway on the basic of hydraulic design principal

Wireless and Mobile System

Wireless Multimedia Communications

Wireless Sensor Networks