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| MS in Avionics Engineering |
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| Courses Description |
| S No |
Course No. |
Course Title |
Credits |
Course Descriptions |
| 1 |
AV-810 |
Linear Systems Theory |
3 |
The course covers following topics. Linear spaces and linear operators. Bases, subspaces, eigenvalues and eigenvectors, canonical forms. Linear differential and difference equations. Mathematical representations: state equations, transfer functions, impulse response, matrix fraction and polynomial descriptions. System-theoretic concepts: causality, controllability, observability, realizations, canonical decomposition, stability, introduction to optimal control and the Kalman filter. |
| 2 |
AV-811 |
Linear Feedback Control Systems |
3 |
Control design concepts for linear multivariable systems. Review of single variable systems and extensions to multivariable systems. Purpose of feedback. Sensitivity, robustness, and design tradeoffs. Design formulations using both frequency domain and state space descriptions. Pole placement/observer design. Linear quadratic Gaussian based design methods. Design problems unique to multivariable systems.
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| 3 |
AV-812 |
Optimal Control |
3 |
The course covers following topics. Euler-Lagrange formulation; Hamilton-Jacobi approach; Pontryagin's minimum principle; Systems with quadratic performance index; Second variation and neighboring extremals; Singular solutions; numerical solution techniques. |
| 4 |
AV-813 |
Non-Linear Systems |
3 |
The course covers following topics. Introduction to the analysis and design of nonlinear systems and nonlinear control systems. Stability analysis using Lyapunov, input-output and asymptotic methods. Design of stabilizing controllers using a variety of methods: linearization, absolute stability theory, vibrational control, sliding modes and feedback linearization. |
| 5 |
AV-814 |
Flight Dynamics & Control |
3 |
The course covers following topics. Static stability and trim; stability derivatives and characteristic longitudinal and lateral-directional motions; and physical effects of the wing, fuselage, and tail on aircraft motion. Flight vehicle stabilization by classical and modern control techniques; time and frequency domain analysis of control system performance; and human-pilot models and pilot-in-the-loop controls with applications. Parameter sensitivity; and handling quality analysis of aircraft through variable flight conditions. Introduction to nonlinear flight regimes. |
| 6 |
AV-815 |
Robust Control |
3 |
Introduction to Lebesgue and Hardy functional spaces, linear operators and norms;
time and frequency domain representations of linear systems, internal stability, performance measures and their limitations;
model reduction and approximation by balanced realization; classical method of robustness in frequency domain, Bode's gain and phase relations, sensitivity functions; different explicit models of system uncertainty, unstructured uncertainty and small gain theorem, robust stability and robust performance; structured uncertainty and mu-synthesis; H-2 and H-infinity optimal control; H-infinity loop shaping; Gap metrics, nu-gap metrics and extended loop-shaping design;
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| 7 |
AV-816 |
Adaptive Control |
3 |
Dynamic System Models, Signal Measures, lyapunov Stabilitry, I/O stability, Adaptive parameter Estimation, Adaptive statye feedback control, Continuous time MRAC, discrete-time MRAC, Indirect Adpative Control, Multivaraiable Adaptive Control |
| 8 |
AV-817 |
Soft Computing Systems |
3 |
Fuzzy Sets, Fuzzy rules and reasoning, Fuzzy inference systems, leastv squares methods for system ID, derivative based optimization, derivavtive free optimization, Adaptive Networks, Supervised learning NN's, Learning from reinforcement, unsupervised learning, Neuro fuzzy interfaces, data clustering algorithms, neurofuzzy control |
| 9 |
AV-818 |
System Identification |
3 |
The mathematical foundations of System Identification, Non-parametric techniques, Parametrizations and model structures, Parameter estimation, Asymptotic statistical theory, User choices, Experimental design,Choice of model structure
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| 10 |
AV-819 |
Instrumentation & Measurement for Aerospace Applications |
3 |
Principles and Elements of Instrumentation and Mesuremet Systems, Review of Random Processes, Inertial Force Sensors, Inertial Rotation Sensors, Applications of rate gyros, Coriolis Angular rate sensors,Fibre optics gyros, Ring Laser Gyros, Filtering Estimation and Aiding |
| 11 |
AV-820 |
Random Processes |
3 |
Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of filtering, linear least-squares estimation, and convergence of random sequences. |
| 12 |
AV-821 |
Digital Signal Processing |
3 |
Introduction to digital signal processing of continuous and discrete signals. The family of Fourier Transforms including the Discrete Fourier Transform (DFT). Development of the Fast Fourier Transform (FFT). Signal sampling and reconstruction. Design and analysis of digital filters. Correlation and spectral estimation. Estimators of second order properties of random processes: nonparametric and model-based techniques of spectral estimation |
| 13 |
AV-822 |
Stochastic Systems |
3 |
Review of Random Prtocesses & Linear Systems, Modeling of physical systems by stochastic differential & difference equations, Analysis of systems whose inputsd are stochastic processes, Spectral factorization, parametric optimization,. Minimum variance control, State estimation of continous-time and discrete-time systems, Linear stochastic control theory |
| 14 |
AV-823 |
Detection & Estimation |
3 |
Brief Review Of Probability& Statistics, Detection Theory: Hypothesis Testing, Decision Criteria, Basic Concept Of Estimation: Maximum Likelihood, Maximum A Posteriori Estimator, Linear Estimation In Static Systems, Method Of Least Squares, Recursive Least Squares, Linear Dynamic System With Random Inputs, State Estimation In Discrete Time Linear Dynamic Systems, Estimation For Kinematic Model, Kalman Filter Applications, Extended Kalman Filter And Applications, Adaptive Estimation And Manoeuvring Target Tracking, Input Estimation And Manoeuvre Detection, Variable State Dimension Approach, Multiple Model Algorithms, Interacting Multiple Model Algorithms For Manoeuvring Targets, Multiple Sensor Data Fusion
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| 15 |
AV-824 |
Embedded System Design Fundamentals |
3 |
Embedded system design fundamentals as well as reconfigurable logic design and implementation using a hardware description language are covered in this course. Experiencing various micro-controllers and microprocessors, participants discover hardware, software and firmware design trade-offs, tool chains, and best practices in current embedded systems development. Real-time operating system topics will be considered to further emphasize embedded hardware-software impacts. Numerous hands-on laboratory projects are provided to reinforce lecture concepts. A final project will integrate course topics into an embedded system design based on an intellectual property (IP) core implemented in a reconfigurable logic package and driven by application code loaded from either the development platform or on-board firmware. |
| 16 |
AV-825 |
Communication Networks |
3 |
This course covers physical layer communications, Link layer protocols, Introduction to queueing theory, Higher layer protocols: TCP, IP and ATM, Routing algorithms, Flow control, Local Area Networks and multiple access, High performance switches and routers, Wireless Networks, Optical Networks and WDM |
| 17 |
AV-826 |
Digital Communications |
3 |
This course covers Digital Signal Construction and Detection, Bandpass and Complex Baseband Signal Representation, Intersymbol Interference Channels, Equalization: MLSE, linear, and decision feedback, Multicarrier Modulation: Channel partitioning, vector coding, orthogonal frequency division multiplexing (OFDM), Convolution coding, The Viterbi algorithm and Maximum Likelihood sequence detection/estimation, Synchronization (As time allows) |
| 18 |
AV-827 |
Navigation Systems |
3 |
Introduction to navigation science, coordinate frames and transformations, review of relavenyt concepts from systems theory and random processes, discrete linear and nonlinear kalmna filtering techniques, the global positioning system, inertial navigation, navigation examples and case studies |
| 19 |
AV-828 |
Missile Guidance |
3 |
Tactical Missile Guidance: Proportional navigation; Important closed-form solutions and their utility; Method of Adjoints: Analysis of missile guidance systems using adjoints; Noise Analysis: Simulating noise, stochastic adjoints; Monte Carlo results; Proportional Navigation and Miss Distance: Useful design relationships for rapid guidance system sizing; Digital Noise Filters: Digital noise filter properties and system performance; Advanced Guidance Laws: Deriving optimal guidance laws without optimal control theory; Kalman Filters and the Homing Loop: Combining Kalman filtering and optimal guidance and optimal guidance techniques; Endoatmospheric Ballistic Targets: Speed, Re-entry angle, Ballistic coefficient;
Extended Kalman Filtering: Performance comparison of linear, linearized, and extended Kalman filters; Other Forms of Tactical Guidance and Tactical Zones: Beam rider, command to line-of-sight guidance plus drag and acceleration factors;
Strategic Considerations: Gravitation and it’s impact on performance; Boosters: Using the rocket equation and an introduction to gravity turn steering; Lambert Guidance; Miscellaneous Topics and T4 Guidance: Gravity compensation, pulsed and burnout guidance; predictor-corrector method; Radome Slope Estimation: Dither signals and bandpass filtering. |
| 20 |
AV-829 |
Information Theory |
3 |
The course covers, Entropy rates of stochastic processes. Maximum entropy and Burg's Theorem. Kolmogorov complexity. Information theory and statistics. Stein's Lemma. AEP. Network information theory. Slepian-Wolf Theorem. Broadcast channel. Multiple access channel capacity. Optimal investment and information theory. Universal portfolios and universal data compression. |
| 21 |
AV-830 |
Wireless Communications I |
3 |
This course covers Analog and digital modulation, Propagation, shadowing, fading, Radio trunking, Multiple access schemes: FDMA, TDMA, CDMA, Cellular communications, Diversity Equalization, Channel coding, Wireless systems and, standards (1G/2G/3G systems), Speech coding, OFDM, Multiuser detection, space time coding, smart antenna, software radio (if time permits) |
| 22 |
AV-831 |
Wireless Communications II |
3 |
Wideband and narrowband channel models, Digital modulation in wireless channels, Diversity (both receive and transmit), Multicarrier modulation and orthogonal frequency division multiplexing (OFDM), Capacity of fading channels, Adaptive modulation, Coding and interleaving in fading channels, Spread spectrum and RAKE receivers, Time, frequency division multiple access (FDMA, TDMA)l, Code division multiple access (CDMA), Multiple access channels and their channel capacities, Advanced topics in multiple access such as multiuser detection, multiuser OFDM, and multiuser diversity as time allows. |
| 23 |
AV-832 |
Software Engineering |
3 |
The goal of software engineering is to control the quality of software by following engineering principles during development. In the practical aspect of this course, the use of object-oriented programming, design patterns, refactoring and extreme programing will be discussed. As a graduate level course, the other aspect of this course focuses on automatic techniques that analyze software artifacts and thus facilitate the engineering process. Through course projects, students will acquire hands-on experience on analyzing software. |
| 24 |
AV-833 |
Model based Software Testing |
3 |
The course covers following topics. Fundamentals of software testing; Test generation using finite state models, Statecharts, Timed automata, Constraint Logic, Petri nets, Z, Combinatorial design, and others; Test adequacy assessment using black box and white box criteria; Industrial applications of model based testing. Students will be required to form small teams of two or three, preferably interdisciplinary, and make in-class presentations based on a selected topic in model based testing. The work of each team will be reviewed by the instructor and other teams. |
| 25 |
AV-834 |
Principles of Real-Time Computing |
3 |
The primary purpose of this course is to present an overview of real-time computing. Basic concepts, terminology, and problems of real-time computing are introduced. The constraints of real-time computing are used to contrast real-time applications from applications that are not real-time. The course focuses on software solutions to real-time problems. Issues that are addressed include scheduling, specification of system requirements and design, real-time software architectures, languages and operating systems for real-time computing, real-time problems in a distributed processing system, and hardware-software interfaces. |
| 26 |
AV-835 |
Design and Analysis of Algorithms |
3 |
The course covers following topics. Computational models and techniques for analyzing the time and space complexity of algorithms. The design and analysis of recursive and non-recursive algorithms for searching, sorting, set operations, graph algorithms, matrix multiplication, etc. NP-Complete problems. |
| 27 |
AV-836 |
Optimization |
3 |
An introduction to various methods of obtaining the extremum (minimum or maximum) of a non-dynamical system and the use of these methods in real-life applications. Computational methods for nonlinear optimization; unconstrained optimization. Constrained optimization; linear programming; simplex method for solving linear programs; Lagrange's conditions, the Karush-Kuhn-Tucker (KKT) conditions, Least squares, Penalty methods, Practical aspects of optimization. |
| 28 |
AV-837 |
Image Processing |
3 |
The course is presented in three units. Foundations: the review of continuous-time and discrete-time signals, and spectral analysis; design of finite impulse response and infinite impulse response digital filters; processing of random signals. Speech processing: vocal tract models and characteristics of the speech waveform; short-time spectral analysis and synthesis ; linear predictive coding. Image processing: two dimensional signals, systems, and spectral analysis; image enhancement; image coding; image reconstruction. The laboratory experiments are closely coordinated with each unit. Throughout the course, the integration of digital signal processing concepts in a design environment is emphasized. |
| 29 |
AV-838 |
Adaptive Filter Theory |
3 |
Theory and applications of adaptive filtering in systems and signal processing. Iterative methods of optimization and their convergence properties: transversal filters; LMS (gradient) algorithms. Adaptive Kalman filtering and least-squares algorithms. Specialized structures for implementation: e.g., least-squares lattice filters, systolic arrays. Applications to detection, noise cancelling, speech processing, and beam forming.
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| 30 |
AV-840 |
Electromagnetic Field Theory |
3 |
The course covers following topics. Vectors, Coulomb’s Law, Electric Field, Gauss’s Law, Scalar Potential, Conductors in Electrostatic Fields, Electrostatic Energy, Electric Multipoles, Boundary Conditions at Surface Discontinuity, Electrostatics in the presence of Matter, Special Methods in Electrostatics, Electric Currents, Ampere’s Law, Magnetic Induction, Integral form of ampere’s law, Vector Potential, faraday’s Law of Induction, Magnetic Energy, Magnetic Multipoles, magnetism in the presence of matter, Maxwell’s Euations, and Scalar and Vector Potentials. |
| 31 |
AV-841 |
Transmission Lines and Waveguides |
3 |
The course covers following topics. Plane waves, Polarization, Laws of Reflection and Refraction, Energy Relations, Waveguides (Fields in Bounded Regions), Circuits and Transmission Lines. |
| 32 |
AV-842 |
RF and Microwave Circuit Design |
3 |
Topics include resonators, filters, detectors, mixers, amplifiers, and microwave systems. There are student design projects for a micro-strip resonator, micro-strip low pass filter, and a high dielectric constant coaxial resonator bandpass filter based upon the Microwave Office software package and use of MathCad at student’s option. LEC |
| 33 |
AV-843 |
Microwave Engineering |
3 |
Properties of waveguides, striplines, and micro-strips. Scattering parameters. Butterworth and Chebyshev impedance transformers. Microwave couplers, cavities, and Fabry-Perot resonators. Periodic structures. Microwave filter design. Faraday rotation and non-reciprocal devices. |
| 34 |
AV-844 |
Microwave Electronic Devices |
3 |
The course covers following topics. Theory and design of passive and active microwave components and monolithic integrated circuits including: microstrip, lumped inductors and capacitors, GaAs FETs, varactor and mixer diodes, monolithic phase shifters, attenuators, amplifiers and oscillators. Experimental characterization of the above components using network analyzer, spectrum analyzer, power and noise meter |
| 35 |
AV-845 |
Analog IC Design (Bipolar) |
3 |
This course is devoted to the study of analog circuits realized in bipolar technology, with a focus on applications such as transimpedance amplifiers, and broadband amplifiers for networking and communications. The course begins with a consideration of device operation and the modeling needed to support both the hand analysis and computer simulation needed for design. Basic circuit building blocks and cascaded multistage amplifiers will be analyzed. The analysis and design of feedback circuits is a key component of the course. |
| 36 |
AV-846 |
Advanced Antenna Engineering |
3 |
Antenna concepts, linear wire antennas, linear arrays, aperture and horn antennas, printed-circuit radiators, frequency-independent antennas, and measurement techniques. |
| 37 |
AV-847 |
Semiconductor Device Technology |
3 |
The principle of operation, device physics, and analytical numerical, and circuit device models for semiconductor devices, such as bipolar junction transistors, metal-semiconductor junctions and transistors, heterostructure junctions and transistors. Selected advanced semiconductor devices, such as novel microwave devices, are also introduced. Prerequisite: SDM-I or equivalent. |
| 38 |
AV-848 |
Microwave Design |
3 |
This course presents advanced techniques applicable to the design of RF amplifiers and oscillators and emphasizes advanced theory and design techniques. Considerable emphasis is placed on microstrip implementation of UHF and microwave circuits. In the latter part of the course, commercially available computer-aided design and analysis software packages are introduced and used to complete the second design problem. |
| 39 |
AV-849 |
Analog IC Design (MOS) |
3 |
Analysis, design and applications of modern analog circuits using integrated bipolar and field-effect transistor technologies. Provides the student with a working knowledge of the basic circuits used in modern analog integrated circuits and techniques for analysis and design. |
| 40 |
AV-860 |
Power Electronics |
3 |
Introduction to the fundamental operating principles of power conditioning circuits that are currently being used to effect power flow from ac to dc and vice versa. Emphasis is on the relationship between form and function of these circuits. Circuits discussed will include ac/dc line-cummutated converters, dc/dc converters, dc/variable frequency converters, resonant converters, and ac/ac converters. Computer simulations will be used as a part of the course work. |
| 41 |
AV-880 |
Advanced Topics in Control Engineering |
3 |
Current topics of interest in control systems. This course may be repeated for credit. |
| 42 |
AV-881 |
Advanced Topics in Communications |
3 |
Current topics of interest in communications. This course may be repeated for credit. |
| 43 |
AV-882 |
Advanced Topics in Microwave Engineering |
3 |
Current topics of interest in microwaqve Engineering. This course may be repeated for credit. |
| 44 |
MA-844 |
Advanced Engineering Mathematics |
3 |
Theory of linear algebra, eigen values, eigen vectors, orthogonality.
Vector calculus, Gauss’s divergence theorem, Stokes’s theorem, Cartesian tensors,Variational calculus,Linear programming ,Constrained and unconstrained Optimization ,Integral Transforms (Laplace, Fourier, Mellin, Hankel, Z-Transform),Numerical Integration are introduced.
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