M. Tech. (Instrumentation and Control) Curriculum …. Tech. (Instrumentation and Control) Curriculum Structure Specialization: Process Instrumentation (w. e. f. 2015-16) List of Abbreviations

M. Tech. (Instrumentation and Control) Curriculum Structure Specialization: Process Instrumentation

(w. e. f. 2015-16)

List of Abbreviations

OEC- Institute level Open Elective Course PSMC – Program Specific Mathematics Course

PCC- Program Core Course DEC- Department Elective Course LLC- Liberal Learning (Self learning) Course

MLC- Mandatory Learning Course (Non-credit course) LC- Laboratory Course

Semester I

Sr. No.

Course Type/Code

Course Name Teaching Scheme

Credits L T P

1. OEC Smart Sensors and Systems [To be offered to other programs] 3 -- -- 3

2. PSMC Computational Methods in Engineering 3 -- -- 3 3. PCC Transducers Design 3 -- -- 3

4. PCC Instrument Design Engineering 3 -- -- 3

5. PCC Modern Control Theory 3 -- -- 3

6. LC Lab Course 0 -- 4 2

7. LC Seminar -- -- 2 1 8. MLC Research Methodology 1 -- -- 1 9. MLC Humanities 0 0 1 1

Total 16 0 7 20 Semester II

Sr. No.

Course Code/Type


Credits L T P

1. PCC Advanced Process Instrumentation 3 -- -- 3

2. PCC Advanced Control System 3 -- -- 3

3. DEC Elective – I

3 -- -- 3

4. DEC Elective – II

3 -- -- 3

5. DEC Elective – III

3 -- -- 3

6. LC Lab Course -- -- 6 3

7. MLC Intellectual Property Rights 1 -- -- 1

8. LLC Liberal Learning Course 1 -- -- 1

Total 17 -- 6 20

Department Elective Course I & II

1. Industrial Automation

2. Process Modeling and Optimization

3. Smart Cities Instrumentation and Automation

4. Batch Process Control

5. Process System Engineering

6. Process Dynamics and Identification

Department Elective Course III

1. Soft Computing

2. Optical Instrumentation

3. Embedded Systems

Semester-III

Sr. No.

Course Code


Credits L T P

1. Dissertation Dissertation Phase – I -- -- 32 16

Total -- -- 32 16

Semester-IV

Sr. No.

Course Code


Credits L T P

1. Dissertation Dissertation Phase - II -- -- 36 18

Total -- -- 36 18

(OEC) Smart Sensors and Systems

Teaching Scheme: Lectures: 3 hrs/week

Examination Scheme: T1, T2 – 20 marks each, End-Sem Exam - 60

Course Contents:

Unit 1 (06) Basic characteristics of measuring devices: Introduction to smart sensors and emerging trends, measurement techniques, static & dynamic characteristics, Interface electronics and measurement for smart sensor systems, Sensing elements and their parasitic effects, Unit 2 (08) Data Acquisition for dynamic sensors: Introduction, DAQ boards, Microcontrollers and digital Signal Processors for Smart Sensor Systems, case studies Unit 3 (06) Positioning sensors: piezoelectric technique, smart sensing technology for measurement of force, torque Sensors, pressure, and case studies of its applications Unit 4 (06) Thermal sensors: functional principle of thermal sensors, Heat-transfer mechanisms, Temperature-difference-sensing elements, Smart temperature sensors and systems, Case studies of smart-sensor applications Unit 5 (07) Chemosensors : chemosensing using sensing techniques such as thin metal films, zinc oxide and polymeric films, silicon sensors, biosensors , optical sensors , applications : Silicon sensors: an introduction 3 Unit 6 (07) MEMS and microsensors, construction and its applications as smart sensing devices, concept of intelligent instrumentation based on neural networks and fuzzy logics Text books:

1. Chapman, P., “Smart Sensors”, ISA Publications, 1995. Reference Books:

1. G. Gautschi, Piezoelectric Sensorics: Force, Strain, Pressure, Acceleration and Acoustic Emission Sensors, Materials and Amplifiers, Springer, Berlin; New York, 2002 (ISBN: 3540422595).

2. Krzysztof Iniewski, “Smart Sensors for Industrial Applications”, CRC Press , 2013(ISBN :9781466568105 ) * Gerard Meijer (Editor),”Smart Sensor Systems”, Willey Publications, 2008 (ISBN: 978-0-470-86691-7

Computational Methods in Engineering Teaching Scheme: Lectures: 3 hrs/week

Examination Scheme: T1, T2 – 20 marks each, End-Sem Exam – 60

Course Objectives: The basic necessity for the foundation of Engineering & Technology being mathematics, the main aim is, to teach mathematical methodologies & models, develop mathematical skills & enhance thinking power of students. To give a very strong base of Mathematics to do quality research in Engineering is the main objective. Course Contents: Unit I : Roots of Equations [6 Hrs] Bracketing methods, open methods and case studies. Unit II : Linear Algebraic Equations [8 Hrs] Gauss Elimination, LU decomposition and matrix inversion, special matrices and Gauss-Seidel method, case studies. Unit III : Numerical Differentiation and Integration [8 Hrs] Newton-Cotes integration formulas, integration of equations, numerical differentiation, case studies. Unit IV : Ordinary Differential Equations [9 Hrs] Runge-Kutta methods, stiffness and multistep methods, boundary value and eigen value problems, case studies. Unit V: Partial Differential Equations [9 Hrs] Finite difference methods for elliptic and parabolic equations, case studies. Text books:

1. Numerical Methods for Engineers by Steven C. Chapra, Raymond P. Canale, McGraw-Hill (special Indian edition), 5th edition 2010.

Reference books:

1. Advanced Engineering Mathematics by Erwin Kreyszig, John Wiley & Sons, Inc., 8th edition 2010.

2. Higher Engineering Mathematics by H K Dass, S Chand & Co. Ltd.,15th edition 2006.

3. Higher Engineering Mathematics by Dr B S Grewal, Khanna Publication, 40th edition 2007.

4. Introductory methods in Numerical Analysis by S SSastry,PHI,Latest Edition.

5. Applied Numerical Methods using MATLAB for Engineers and Scientists by Steven C. Chapra McGraw-Hill (Indian edition), 3rd edition 2012.

Course Outcomes : Students will be able to

1. Appreciation of the need for numerical methods. 2. study of some standard numerical methods for solving (i) equations

(ii) Linear systems of equations (iii) integration, and (IV) ODE’s & PDE’s.

Transducers Design



Course Objectives: 1. Discuss various mathematical equations for the sensor design 2. Design various sensors required for process plants

Course Contents: Review of transducers for various parameters like temperature, pressure, flow, level, humidity, acceleration, vibration, density etc. Design considerations and selection criterion as per standards, Sensor fabrication techniques, process details, and latest trends in sensor fabrication, fiber optics sensors, electromechanical sensors, Solid state chemical sensors, Bio-sensors, Piezo-resistive sensors, characterization of sensors, effect of sensors on process identification, signal conditioning techniques. Reference books:

1. Chapman, P., “Smart Sensors”, ISA Publications, 1995. 2. ISA–S37.1–1975 (Reaffirmed 1982), “Electrical Transducer Nomenclature and Terminology,”

Instrument Society of America, 1975. 3. Sabrie Soloman, “Sensors Handbook”, McGraw-Hill , 1999. 4. Brayan Eggins, “Chemical Sensors and Biosensors” John Wiley& Sons, 2003. 5. Eric Udd , “Fiber optics sensors”,Wliey,1991.

Instrument Design Engineering


Examination Scheme: T1, T2 – 20 marks each, End-Sem Exam - 60

Course Contents: Electromagnetic Compatibility: Noise, Interference, Noise Coupling, cabling, grounding, ground loops, balancing and filtering Shielding: Near field, far field, absorption losses, and reflection losses Contact Protections: Arc discharge, Glow discharge, intrinsic noise sources, active device noise, and digital circuit grounding. EMC Applications: Digital circuit power distribution, Digital circuit radiations, Conducted emissions, RF and transient immunity, electrostatic discharge, PCB layout and design, EMC measurements. Standards, reliability, automated test equipment. Reference Book:

1. Henry W Ott, “ Electromagnetic Compatibility Engineering”, Jonh Wiley and Sons Inc. Publication, 2009

2. W. C. Bossshart , “PCB Design and Technology” Tata McGraw Hill, 1987

3. Clyde F. Coombs, “Electronic Instrument Handbook”, McGraw Hill, Third Edition, 2005

Course Outcomes : 1. Analyze and justify the requirement of Instrument and systems. [PEO1]PO1] 2. Design various electronic circuits and measurement systems, noises identification and

appropriate elimination methods related to instrument and system[PEO1][PO2] 3. Select, design appropriate enclosure, cables, PCB.[PEO1][PO5]. 4. Estimate, analyze, improve the reliability of instrument and system[PEO3][PO2]

Course Outcomes :

1. Knowledge of mathematical equations for the sensor design. [PEO1] [PO-1] 2. Implementation of various sensors required for process plants. [PEO2] [PO-4]

Modern Control Theory Teaching Scheme: Lectures: 3 hrs/week


Course Objectives: 1. Understand basic principles of various control system design 2. Design of controllers in state space domain and other domain. 3. Design discrete controllers for continuous system

Course Contents: State space analysis, eigen values and eigen vectors, feedback control system using state space, Controller and observer design, Design using Ackermann formula, Frequency domain controller, Introduction to discrete time control, Controller design in discrete domain Reference Books:

1. H. Nijmeijer and AVD Schaft, “Nonlinear Dynamical Control Systems”, Springer Verlag, New York, 1990.

2. JJE Slotine and W. Li, “Applied Nonlinear Control”, Prentice Hall, New Jersey, 1991. 3. B. Friedland, “Advanced Control System Design”, Prentice Hall, New Jersey, 1996. 4. HK Khalil, “Nonlinear Systems”, Prentice Hall, New Jersey, 2002.

Course Outcomes :

1. An ability to design continuous state feedback controller and observer in state space. [PEO1] [PO-l]

2. An ability to design discrete state feedback controller and observer for continuous system. [PEO1] [PO-l]

3. Ability to design compensators in continuous and discrete domain [PEO1][PO-l]

Lab Course I Course Objectives:

1. Formulate hypotheses 2. To have a direct hands-on experience on state-of-art software and hardware design tools 3. To study, formulation and implementation of prerequisite problems of main project 4. To develop and design simple experiments/experimental set-ups of undergraduate courses

The students are expected to do the following:

i. To get familiarize about the facilities available in the laboratory. ii. To design, implement and verify the results of various experiments as per the suggestions of

laboratory instructor. iii. To devise, suggest and implement innovative experiments in the laboratory. iv. To collaborate with other labs for implementing small projects. v. To suggest and provide solutions for upgrading the laboratory facilities.

Course Outcomes :

1. Understanding the basics of state-of art software and hardware tools and its usability [PEO1][PO-5]

2. Capable of developing small projects proving the basic concepts [PEO3][PO-3] 3. Able to teach, develop experiments and share his knowledge and competency with others

[PEO2][PO-7] 4. Capable of pursuing research in domain of Instrumentation and Control Engineering

[PEO3][PO-8]

Seminar

Course Objectives:

1. Exhibit self- learning capabilities to assimilate and practice emerging theories and technologies.

2. Reveal teamwork and effective communication skills. The students are required to search / gather the material / information on a specific a topic comprehend it and present / discuss in the class.

Course Outcomes :

1. Ability to understand of contemporary / emerging technology for various processes and systems. [PEO1][PO-4]

2. An ability to share knowledge effectively in oral and written form and formulate documents [PEO2] [PO-6]

Advance Control System Teaching Scheme: Lectures: 3 hrs/week


Course Objectives: 1. Understand basic principles of advanced control strategies like robust control, sliding mode

control 2. Design of robust controllers using SMC 3. Design discrete controllers using IDC and other observer strategies.

Course Contents: Introduction to uncertain systems, Nonlinear system, Feedback linearization. Lyapunov stability theory. Design of controllers for nonlinear systems. Sliding mode control, chatter control, invariance and matching conditions, reaching phase elimination. Backstepping technique.Model following.Discrete sliding mode control.Unified sliding mode theory. Methods of uncertainty estimation.Adaptive sliding mode control, time delay control, inertial delay control, disturbance observers.State observers.Simultaneous state and uncertainty observers.Some case studies. Reference Books:

1. C. Edwards and S.K. Spurgeon, “Sliding Mode Control: Theory and Applications”, Taylor & Francis, 1998.

2. G. Bartolini, L.Fridman, A. Pisano and E. Usai (Ed.), “Modern sliding mode control theory”, Springer, 2008.

3. J.J.E Slotine and W. Li, “Applied nonlinear control”, Prentice Hall, 1991.

Industrial Automation Teaching Scheme: Lectures: 3 hrs/week


Course Objectives: 1. Compare various architectures of DCS & features of network protocols 2. Summarize various implementation issues of DCS

Course Contents: Different types of processes. Typical examples of continuous, batch, discrete and hybrid processes. Study of Process flow, detailed P&ID, Critical loops, Safety and Alarms, Reliability and Fail safe operation requirements, efficient running and adhering to standards. Role of automation in industries, Benefits of automation. Distributed Control Systems (DCS) system architecture, system elements, data communication links, DCS Engineering and Design, detailed engineering, specifications, configuration and programming, functions including database management, reporting, Sequential event recording alarm management, communication, third party interface, control, display etc. Enhanced functions viz. Advance Process Control, Batch application, Historical Data Management, OPC support, Security and Access Control etc.

Performance Criteria for DCS and other automation tools. Selection and control of different process with advanced tools available with DCS, SCADA and PLCs. Discussion about hybrid control system. HART, Foundation fieldbus, Profibus protocol introduction, frame structure, programming, implementation examples, Benefits, Advantages and Limitations. Comparison with other fieldbus standards including device net, Profibus, Controlnet, CAN, Industrial Ethernet etc. Reference books:

1. Popovic and Bhatkar , “ Distributed Computer Control For Industrial Automation” , Taylor & Francis group, 2011.

2. Webb and Reis, “Programmable Logic Controllers: Principles and Applications”, PHI, 2009. 3. S.K.Singh, “Computer Aided Process Control”, PHI, 2009.

Course Outcomes :

1. Selection and design of DCS & network protocol based on specifications of applications.[PEO1][PO-3]

2. Implementation of DCS for various process/plant.[PEO2][PO-5]

Process Modelling and Optimization



Course Objectives:

To discuss various process modeling techniques

To understand various optimization techniques

To implement various intelligent and advanced control schemes for different processes. Course Contents: Types of model, Time domain and frequency domain modelling of a system, data driven modelling of a system, Nature and organization of optimization problem, Objective function formulation, measures of profitability single and multivariable optimization, Linear Programming, Non Linear Programming, Introduction to geometric and dynamic programming, Applications of advanced and intelligent control. Reference Books:

1. S. K. Singh, “Process Control Concepts, Dynamics and applications”, PHI Learning Pvt. Ltd., 2009 2. SingiresuS.Rao, ”Engineering Optimization Thery and Practices”, John Wiley & Sons, Fourth ed.,

2009 3. T. F. Edgar, D. M. Himmelblau, “Optimization of chemical Processes”, McGraw-Hill International

Edition 4. W.L. Luyben, “Process modeling, simulation & control for chemical engineers”, McGraw Hill,

second ed.,1990

Course Outcomes : 1. An ability to apply knowledge of mathematical equations, chemical and physical analysis to

obtain mathematical model of a system.[PEO1][PO-1] 2. An ability to identify, formulate and solve a problem of optimization of a given plant. [PEO1][PO-

3] 3. Understanding of different advanced and intelligent control systems.[PEO2][PO-5]

Smart Cities Instrumentation and Automation Teaching Scheme: Lectures: 3 hrs/week


Course Objectives: i. Be able to identify and design various systems required for smart cities automation ii. Able to integrate all designed systems with knowledge of their interdependence.

Course Contents:

Introduction, concept and definition of holistic system that consists of numerous interconnected Subsystems in the areas of transportation, energy, water system, security, logistics, healthcare, etc. System design criteria, components and specifications in the broad application of smart city development. Scheduling, algorithms in energy distribution of smart grids, predictive control for clean city water management systems, waste water management system, automation with feedback in road traffic management systems, and sensor networks for applications such as environmental monitoring and security.Some more applications of control systems for the smarter city to understand challenges and opportunities posed by cities automation. Methods and possibilities of integration of these subsystems. Data network and protocols for communication.

Reference Books: 1. Reinhold A. Carlson Robert A. Di Giandomenico, “Understanding Building Automation Systems:

Direct Digital Control, Energy Management, Life Safety, Security Access Control, Lighting, Building”, 1st edition (R.S. Means Company Ltd), 1991.

2. Shengwei Wang “Intelligent Buildings and Building Automation” ,Spon press, 1st edition 2010. 3. Albert Ting-pat So, WaiLok Chan, “Intelligent Buildings systems”, Kluwer Academic publishers.

Course Outcomes :

1. Designing different systems required in smart cities and integrate those systems. [PEO2][PO-2] 2. Identification of implementation issues associated with these system integration, [PEO1][PO-3]

http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Shengwei+Wang%22

Batch Process Control



Course Objectives: 1. Study different standards required for batch process control. 2. Implement the standards for different batch processes.

Course Contents: Introduction to Batch Control System, Batch Control system terminology, Characteristics of Batch Processes, Hierarchical Batch Model, Control structure for batch systems. International Standards and Practices such as S 88, S 95, USA FDA regulation, 21CFR 11, etc. regulatory and discrete systems, Batch control design, system hardware and software, Batch control system specifications and implementation, Information/display requirements, cost justification and benefits, data management. Case study of batch control system implementation for applications in food and beverages, pharmaceuticals, etc. Reference Books:

1. T. G. Fisher, “Batch Control System”, ISA series, 2nd Edition, 2010. 2. Gregory K. Macmillan, Process/ Industrial Instruments and Controls Handbook, MCGrawHill

Course Outcomes :

1. Acquired knowledge of standards used for Batch process control [PEO-1][PO-3] 2. Development of control schemes for different batch processes [PEO-2][PO-2]

Soft Computing Teaching Scheme: Lectures: 3 hrs/week


Course objectives: 1. To discuss various soft computing techniques. 2. To utilize the appropriate techniques for solving real life problems

Course Contents: Knowledge based methods like Expert systems (ES), Fuzzy expert system (FES) Analytical Hierarchical methods (AHP), Data mining methods: Neural Networks (NN), Genetic Algorithms (GA), Support Vector machine (SVM) Reference Books:

1. S N Shivanandam, “Introduction to Neural Networks Using MATLAB 6.0”, TMH 2. Timothy Ross , “Fuzzy logic with application to engineering systems”, McGraw Hill 3. Klir G and T. Folger, “Fuzzy sets, uncertainty, and information”, Prentice Hall

Course Outcomes : 1. Understand and evaluate different soft computing techniques. [PEO1] [PO-1] 2. Identification and implementation of the data mining techniques to solve complex

problems.[PEO2] [PO-5]

Optical Instrumentation Teaching Scheme: Lectures: 3 hrs/week


Course Contents: Optical fiber waveguide - total internal reflection, and electromagnetic mode theory of optical propagation, cylindrical fiber, manufacturing of optical fiber. Transmission characteristics of optical fiber -Attenuation, material absorption losses, scattering losses, nonlinear and linear scattering, dispersion, intermodal dispersion, dispersion modified single mode fiber, dispersion flattened fibers, polarization, nonlinear phenomena. Optical sources and detectors -Optical emission from semiconductor, semiconductor LASER, non semiconductor LASER, LED as an optical source, optical detector principles, absorption, quantum efficiency, responsively, photo diodes, modulation. Optical fiber sensors -Introduction to fiber optics sensors, sensors based on intensity modulation, application of optical fiber for displacement, strain, stress and pressure measurement. Active multimode FO sensors, micro-bend optical fiber sensors, current sensors, phase modulated, polarization modulated optical fiber sensors, fiber optic gyroscope. LASER applications - Introduction, application of LASER in biomedical instrumentation, LASER interferometry, performance parameters, LASER telemeters, measurement of distance, LIDAR, holography: basic principle of holography, measurement of strain, stress, bending moments and vibrations using hologram. Optical amplification and integrated optics - Optical amplifiers, integrated optics integrated optical devices: beam splitters, directional couplers, modulators, switches, optoelectronics integration and differentiation, analog arithmetic operations

Reference books: 1. Joseph T Verdeyen, ―LASER Electronics‖, Prentice Hall of India, 3rded., 2003 2. John M. Senior, ―Optical fiber Communications Principles and Practice‖, PHI publication,

2nded., 2008

Course Outcomes : 1. Apply LASER and Optical fiber for various physical parameter measurements. 2. Analyzing the optical sensor technology on various parameters of measurements.

Embedded System Teaching Scheme: Lectures: 3 hrs/week


Course Contents: Introduction of Embedded System, Architectural Design Considerations, Programming aspects of Microcontroller and Advanced Processor, Assembly programming, Embedded C fundamentals, 8 bit Microcontroller, 16 bit microcontroller, Ultralow power Microcontroller, Programming with Timers, PWM generation, Counter programming and applications, Programming with asynchronous serial communication (UART) module, ADC and DAC programming, Interrupt driven and polling method of programming, Interfacing and Programming with: Stepper Motor, DC Motor. Programming with Synchronous serial port (USART): I2C and SPI bus programming, Interfacing with external RTC (I2C based), Serial ADC (SPI based), System-on-Chip (SoC) concept, ARM Architecture, Introduction to Embedded Linux, Architecture, etc. RTOS Concepts - Introduction to Real Time operating systems, Practical considerations, Applications, Introduction to Reconfigurable Computing, FPGA Architectures, FPGA Design Cycle, Technology-independent optimization, Technology Mapping, Placement and Routing, FPGA Vs ASIC design, Algorithm Prototyping and benchmarking, area, speed and power analysis for FPGA design, Floating Point Design (Implementing math functions), Case studies Text books:

1. Michael J. Pont, “Patterns for time triggered embedded systems”, Addison-Wesley Professional 2001

2. Muhammad Ali Mazidi, RolondMckinlay, Danny Causey, “PIC Microcontroller and Embedded System suing Assembly and C for PIC 18”, Pearson, Seventeenth Impression, 2014

3. David Seal, “ARM Architecture Reference Manual”, Addison-Wesley 4. Steve kilts , “Advanced FPGA Design- Architecture, Implementation and Optimization”, John

Willey and Sons, 2007 Reference books:

1. Scott hauck and Andre Dehon “Reconfigurable computing: Theory and Practice of FPGA based computing”, Elsevier, 2008

2. Dennis Silage, “Embedded Desing Using Programmable Gate Arrays”, Bookstand 3. Publishing, 2009 4. Maya V. Gokhale and Paul S. Grahmn , “Reconfigurable Computing: Accelerating Computations

with FPGA”, Springer, 2005 Course Outcomes :

1. Understanding of the basic principles of Microcontroller based design and development. [PEO1][PO-1]

2. Ability to design and build a functional prototype for real world applications. 3. [PEO2][PO-3] 4. To encourage the students to have a better understanding on state-of-art embedded

technologies like system-on-chip design and reconfigurable embedded designs, their potential applications and their market views. [PEO2][PO-2]

5. Ability to work in a group to design systems, solve problems and its applicability for the society. [PEO2 ][PO-6]

6. To test whether students can apply their knowledge of fundamentals of Microcontrollers, programming and interfacing technology to solve and design simple engineering problems.[PEO3][PO-5]

Process System Engineering Teaching Scheme: Lectures: 3 hrs/week


Course Objectives: 1. Discuss various unit operations in process plants 2. Design control schemes for the operations of a process plant.

Course Contents: Introduction to Unit operations, understanding and development of systematic procedures for the design and operation of process system, separation processes, computer based techniques for design, operation and management of process plants, case study of chemical process plants. Reference Books:

1. Warren McCabe , Julian Smith, Peter Harriott, “Unit operations of Chemical Engineering”, Mc

Hills , 7th Edition 2004.

2. Lorenz T. Biegler, Egnacio e. Grossmann and Arthur W Westerberg, “Systematic Methods for

chemical process design”, Prentice Hall, 1997.

3. D Warren D. Seider, J. D. Seader, Daniel R Lewin, SoemantriWidagdo, “Product and process

design principles: Synthesis, Analysis and design”, Wiley, 3rd Edition 2008.

4. Subhash K Sikdar,Mahmoud M. El-Halwagi, “Process design tools for the Environment” , CRC

Press, 2001.

Course Outcomes : 1. Demonstrate various unit operations in process plants. [PEO2] [PO-4] 2. Implementation of control schemes on existing platforms.[PEO1] [PO-2]

Process Dynamics and Identification Teaching Scheme: Lectures: 3 hrs/week


Course Objectives: 1. Discuss various issues associated with process dynamics and its effect on the performance of the

plant. 2. To implement various optimization techniques for a given plant.

Course Contents: Introduction to process dynamics, development of dynamic models for typical unit operations from 1st principle , techniques for model identification using empirical information, introduction to process

optimization, methods for parameter estimations and validation, process performance analysis and advanced process control. Reference Books:

1. Dale E. Seborg, Duncan A. Mellichamp, Thomas F Edgar and Francis J. Doyle III, “Process

dynamics and control”, Wiley, 3rd edition 2010.

2. B. Wayne Bequette, “Process Dynamics: modeling analysis and simulation”, Prentice Hall, 1st

Edition, 1998.

3. Thomas F Edgar, “Optimization of Chemical processes”, McGraw Hill, 2ndEdition , 2001.

4. LennartLjung, “System Identification: Theory for the User”, Prentice Hall, 2nd Edition, 1999.

5. R. Byron Bird, Warren E. Stewart, Edwin N. Lightfoot, “Transport Phenomena”, John Wiley &

Sons, 2nd Edition 2006.

6. H. Scott Fogler, “ Elements of Chemical Reaction Engineering”, Prentice Hall, 4th Edition, 2005.

7. Jeffrey B. Burl, “Linear Optimal Control”, Prentice Hall, 1998.

Course Outcomes : 1. Correlation of the process dynamics and plant performance.[PEO1] [PO-1] 2. Implementation of optimization tools for different processes.[PEO2] [PO-2]

Lab Course II The students are expected to do the following:

1. To get familiarize about the facilities available in the laboratory. 2. To design, implement and verify the results of various experiments as per the suggestions of

laboratory instructor. 3. To devise, suggest and implement innovative experiments in the laboratory. 4. To collaborate with other labs for implementing small projects. 5. To suggest and provide solutions for upgrading the laboratory facilities.

Course Outcomes :

1. Understanding the basics of state-of art software and hardware tools and its usability [PEO1][PO-5]

2. Capable of developing small projects proving the basic concepts [PEO3][PO-3] 3. Able to teach, develop experiments and share his knowledge and competency with others

[PEO2][PO-7] 4. Capable of pursuing research in domain of Instrumentation and Control Engineering [PEO3][PO-

8]

Intellectual Property Rights



Course Contents: Importance of IPR in the field of R & D and innovation. IP is an important element of the institutional fabric of an efficiently organized society. Intellectual property right (IPR) is an attempt to safeguard the rights of original contributor of ideas, concept, and creativity of individuals. IPR are regarded as a source of national wealth and mark of an economic leadership in the context of global market scenario. Created internal vigilance and enlightenment among students to generate new ideas. IPR protection provides an incentive to inventors for further research work and investment in R & D, which leads to creation of new and better products, and in turn brings about, economic growth and social benefits. Course Outcomes :

1. Understood the importance of IPR.[PEO4][PO-9] 2. Understood how IPR are regarded as a source of national wealth and mark of an economic

leadership in the context of global market scenario.[PEO4][PO-9] 3. Got familiarized with the origins and the development of the international framework of

IP[PEO2][PO-7] 4. Created internal vigilance and enlightenment among students to generate new

ideas.[PEO2][PO-9]

Liberal Learning Course

Teaching Scheme: Examination Scheme: Lectures: -- Assignments and quizzes: 40 End Semester Examination: 60 Course Contents: Identification of topic and resources, scope, and synthesize viewpoints for the areas such as performing arts, basic Sciences, business, philosophy, sports and athletics, defense studies and education. Course Outcomes :

1. Ability to exhibit self-learning capabilities and its use in effective communication. [PEO2] [PO-7] 2. An ability to inculcate impact of various areas to relate with society at large. 3. [PEO4] [PO-3] 4. Demonstrate the familiarity with one or more multi-disciplinary areas of their choice. [PEO3 ]

[PO-9]

Dissertation I Teaching Scheme: Examination Scheme: Lectures: -- Continuous Evaluation: 100 Marks Course Contents: The dissertation / project topic should be selected / chosen to ensure the satisfaction of the urgent need to establish a direct link between education, national development and productivity and thus reduce the gap between the world of work and the world of study. The dissertation should have the following

1. Relevance to social needs of society 2. Relevance to value addition to existing facilities in the institute 3. Relevance to industry need / requirement 4. Problems of national importance 5. Research and development in various domain

The student should complete the following: 1. Literature survey 2. Problem Definition 3. Motivation for study and Objectives 4. Preliminary design / feasibility / modular approaches 5. Implementation and Verification 6. Report and presentation

Course Outcomes :

1. Ability to synthesize knowledge and skills previously gained and applied to an in-depth study and execution of new technical problem [PEO1][PO-l]

2. Capable to select from different methodologies, methods and forms of analysis to produce a suitable research design, and justify their design [PEO3][PO4]

3. Ability to present the findings of their technical solution in a written report[PEO2][PO7]

Dissertation II

Teaching Scheme: Examination Scheme: Lectures: -- Continuous Evaluation: 100 Marks Course Contents: The dissertation stage II is based on a report prepared by the students on dissertation allotted to them. It may be based on:

1. Entirely on study and analysis of typical Instrumentation and Control system, Biomedical Instrumentation / devices / instruments / related topic

2. Experimental verification / Proof of concept

3. Design, fabrication, testing, and calibration of an instrumentation system. 4. The viva-voce examination will be based on the above report and work.

Course Outcomes :

1. Ability to synthesize knowledge and skills previously gained and applied to an in-depth study and execution of new technical problem [PEO1][PO-l]

2. Capable to select from different methodologies, methods and forms of analysis to produce a suitable research design, and justify their design [PEO3][PO4]

3. Ability to present the findings of their technical solution in a written report[PEO2][PO7]

Documents

M. Tech. (Instrumentation and Control) Curriculum …. Tech. (Instrumentation and Control) Curriculum Structure Specialization: Process Instrumentation (w. e. f. 2015-16) List of Abbreviations