Special Module that focuses on special topics, development and Research problems of importance in the area of Nano Electronics.
To educate students about semiconductor business. This includes business domains in semiconductors, latest business challenges, market trends and forecasts, business planning and incubation, execution and delivery, technical and financial analysis of R&D , business and finance models of chip manufacturing units (or fabs.), foundries, and solar power plants.
Special Module that focuses on special topics, development and Research problems of importance in this area.
Special Module that focuses on special topics, development and Research problems of importance in the area of VLSI Testing.
Special Module that focuses on special topics, development and Research problems of importance in the area of Low Power IC Design.
Pre-requisites: to be decided by the instructor
Tools needed for scientific writing, ethics of publication, plagiarism, attribution, copyrights, writing impactful papers, writing theses, writing a technical disclosure or patent.
Overview of cyber security, computer security and the associated threat, attack, adversary models, access control, intrusion detection, basic network security, security of cyber physical systems and a brief introduction to cryptography.
To provide exposure in specialized topics in systems and control.
Power flow studies, fault studies, state estimation, security analysis, robust power flow methods, power flow with uncertain data.
Experiments related to smart-grids measurement and control.
Computer aided design of electrical machines.
Experiments on the DSP/Digital signal controllers, Interfacing peripherals to DSP, Assembly language programming, Real-time voltage/ current, speed sensing signal and processing, PWM strategies realization through DSP and controlling power electronic and Drive Systems.
Experiments on drive systems with converter fed dc and ac drives and their control.
Experiments on Power electronic converters and their control.
Experiments on Electrical Machines and their control.
Skill development in semiconductor modeling and characterization through hands on electrical characterization experiments. This includes wafer-level DC and RF characterization of p-n junction diode, MOS capacitor and transistor, photo-electric characterization of solar cells, TCAD and compact modeling of these devices, Materials Characterization (SEM, AFM, TEM, etc.).
Introduction to Cadence, Learning Cadence design framework and Virtuoso environment, Design with Virtuoso schematic editor, Layouts, Learning and applying Synopsys and Xilinx tools, Circuit simulation and SPICE.
Introduction to Cadence, Learning Cadence design framework and Virtuoso environment, Design with Virtuoso schematic editor, Layouts, Learning and applying Synopsys and Xilinx tools, Circuit simulation and SPICE.
Deposition of Semiconductor Materials and Metals: Sputter Deposition, E-Beam Deposition, and Thermal Evaporation; Photolithography; Electron-Beam Lithography; Epitaxial Growth of Semiconductors, Materials Characterization.
Contents: CASE tools,client-server programming, middleware and use of Object Request Broker architectures, use of network emulators, using networks APIs Parlay/JAIN, service-oriented architectures, openflow and SDN, network management software design.
To provide advanced level laboratory experiments in telecom signaling and transmission.
Magnetic Levitation System, Twin Rotor MIMO System, Gyroscope, Ball and Beam System, Embedded Control System, Mobile Robotic System.
Basics of Sensors and Actuators, Study of AC and DC Motors, Linear Systems, Analog and Digital Motors, Synchros, Temperature Control.
Simulation and hardware experiments on different aspects of computer communication networks. Network traffic generation and analysis, differentiated service queues, network of queues using discrete event simulations.
Experiments related to the following topics: advanced data structures and algorithms, compilers, GUI, component-based software design, distributed and web based applications, UML, firmware, database applications.
Contents: Development of network elements such as routers, SNMP nodes. Use of laboratory and telecom field test instruments such as: oscilloscopes, oscillators, RMS meters, transmission impairment measuring systems, return loss meters, etc. Enables students to study voice and data switching functions and to measure transmission and traffic characteristics on models of the major business communication systems and carrier transmission facilities (controlled LAN environments, Ethernet, E1, T1/T3lines). Experimental procedures include the use of frequency and time division multiplex systems and the modulation techniques employed by in such systems and the observation of noise and distortion effects.
Design, fabrication and testing of simple linear microwave circuits using microstrip technology.
Contents: CASE tools, object-oriented program development, use of telecom network simulator, implementation using C/C++/Java, network management software design, V.5 test and simulation.
Laboratory experiments on analog, pulse, and basic digital modulation and demodulation techniques.
Experiments will be conducted on 3-phase alternators and transformers for measuring their sequence impedance. Directional, overcurrent and differential protection relays will be studied. Computer simulation for power flow, short circuit and stability studies of interconnected power systems. Numerical relays and synchrophasors will be introduced. FACTS devices will be experimented.
Basics of Sensors and Actuators, Study of AC and DC Motors, Linear Systems, Analog and Digital Motors, Synchros, Temperature Control.
Introduction to testing, simulation, fault simulation, automatic test pattern generator, sequential logic bests, automatic test equipment, design for testability, Built-In-Self-Test (BIST), behavioral test and verification.
Introduction, computer and network architectures for pervasive computing, mobile computing mechanisms, human-computer interaction using speech and vision, pervasive software systems, location mechanisms, practical techniques for security and user-authentication, and experimental pervasive computing systems.
Activities, methods, operational procedures, tools, communications interfaces, protocols, and human resources that pertain to the operation, administration, maintenance, and provisioning of communications networks, network management standards, technologies; functional areas of fault management, configuration management, accounting management, performance management, and security management, major Internet and telecommunications standards for network management: SNMPv3, RMON, CMIP and TMN.
Overview of mobile computing; introduction to GSM, 3GPP, 4G LTE, LTE-A standards; wireless networking protocols: mobile IP, ad hoc networks, wireless TCP; cognitive radio networks; data broadcasting; location and context awareness; QoS, QoE; disconnected or weakly connected operations; protocol and resource optimization; wireless security issues.
Introduction to cryptography, public key distribution and user authentication, TLS and wireless network security, secure email and PGP, IP security, system security - intrusion, malicious software and firewalls.
Network performance models and classifications, Hidden Markov Models (HMM), Delay and throughput analysis using Markov models, Performance analysis with multi-class traffic, Renewal theory and regenerative processes, Performance analysis with semi-Markov traffic characteristics, Network performance analysis with interactive servers, Practical network traffic characterization, Network performance stability, Introduction to dynamic programming, Example network modeling scenarios in various engineering applications.
Introduction: core principles behind CPSs; Specification of CPS, CPS models: Continuous, Discrete, Hybrid, Compositional; Abstraction and System Architecture, Design by Invariants, Sensing and Fusion, Cloud of Robots/CPS; Case Studies: Healthcare, Smart Grid, Transportation.
Web and service oriented architectures, dynamic web site programming (client side and server side), web application development, web based repositories, UI design, XML, Web 2.0 and the semantic web, applications.
Introduction to language and linguistics; Mathematical foundations: statistics and machine learning; Introduction to corpus-based computational linguistics; Lexical analysis; Syntactic analysis; Semantic analysis; Discourse analysis; Psycholinguistics, computational cognitive models of language processing and evolution; Assignments and practical exercises involving the application of these techniques to real-word corpora.
Fundamentals of brain anatomy and physiology, signals of brain, Brain signal recording and imaging techniques, Human experimentation study design, Processing the X-D neural data, Machine learning approaches, Graph theory and neural networks, Multivariate pattern analysis in 4D Imaging data, Statistical inferences, student projects and presentations.
Principles, stages, specification formalisms (UML, SDL, ASN.1) of telecom protocol design, protocol software development process, computer aided protocol engineering, verification and testing of protocols, object oriented techniques in protocol development, kernel level development and programming of protocols.
Advanced topics in machine learning, including Nonlinear Dimension Reduction, Maximum Entropy, Exponential Family Models, Graphical Models; Computational Learning Theory, Structured Support Vector Machines, Feature Selection, Kernel Selection, Meta-Learning, Multi-Task Learning, Semi-Supervised Learning, Reinforcement Learning, Approximate Inference, Clustering, and Boosting.
Introduction; Example System: Apple iCloud, Amazon-AWS; Fundamental Concepts: Cloud Characteristics, Cloud delivery models; Cloud Enabling Technology: broad-band network,virtualisation technology; Cloud Infrastructure Mechanisms: Logical Network Perimeter, Virtual Server, Cloud Storage Devices;Cloud Architecture: Workload Distribution Architecture, Resource Pooling Architecture, Dynamic Scalability Architecture, Hypervisor Clustering Architecture, Load Balanced Virtual Server Instances Architecture, Elastic Resource Capacity Architecture, Elastic Disk Provisioning Architecture, Redundant Storage Architecture; Cloud Security: Encryption, Identity and Access management, Cloud-based Security Groups; Working with Cloud: Building Service Platforms, Cost Metrics, Pricing Models.
Introduction; Hadoop, Map-Reduce, GFS/HDFS, Bigtable/HBASE; Extension of Map-Reduce: iMap-reduce (iterative), incremental map-reduce. SQL and Data-parallel programming, DryadLINQ. Data-flow parallelism vs. message passing. Data locality. Memory hierarchies. Sequential versus random access to secondary storage. NoSQL systems. NewSQL systems. Finding similar items and LSH; Search Technology: link analysis and Page-rank algorithm; Large Scale Graph Processing; Mining Streaming Data and Realtime analytics: Window semantics and window joins. Sampling and approximating aggregates (no joins). Querying histograms. Maintaining histograms of streams. Use of Haar wavelets. Incremental and online query processing: online aggregation.
Time series forecasting techniques, Introduction to Portfolio theory, Trading Systems, Optimisation methods, Risk Management, Machine Learning for Algorithmic Trading.
Motivation, evaluation, classical IR models, Indexing, ML techniques, Semantic search, MIR, Web-scale information retrieval, Query processing, User interfaces.
Basics of embedded, learning, and adaptive systems; sensors, nature of dynamic environments, hardware aspects.
Introduction, Randomized Algorithms, Matrix Approximations (low-rank approximation, decomposition, sparse matrices, matrix completion), Large Scale Optimization, Kernel Methods (fast training), Boosted Decision trees, Dimensionality Reduction (linear and nonlinear methods), Distributed Gibbs Sampling, Sparse Methods/Streaming (sparse coding...); Applications.
Review of basic probability theory, reliability theory, network modeling and evaluation of simple and complex systems, generation system reliability concept of loss of load probability, energy not served, transmission system reliability, component failure, distribution system reliability with perfect and imperfect switching.
Origin and nature of transients and surges. Lumped and distributed circuit representations. Line energisation and de-energisation transients, current chopping, short-line faults, trapped charge effects, effect of source, control of transients, Lightening, effect of tower footing resistance, travelling waves, insulation coordination, circuit breakers duty, surge arresters, overvoltage limiting devices.
To be decided by the Instructor when floating this course: It can be anything that is related to power system, but is not covered in any of the established courses.
Structure of distribution system, modeling of system components, power flow, fault studies, state estimation, optimal power flow, optimal feeder reconfiguration, optimum resources planning, incorporation of DGs in operation and planning.
Philosophy of market models, Concepts in micro-economics, Centralized and de-centralized Dispatch Philosophies, Congestion Management, Ancillary Service Management, Transmission Pricing Methods, Loss Allocation Algorithms, Locational Marginal Price (LMP) calculation and properties, Financial Transmission Rights (FTRs), Transmission Expansion Planning, Market Power, Working of International Power Markets, Restructuring Issues in Indian Power Sector.
Recent developments in the area of electric drives.
Advanced PWM Techniques. Control of switched reluctance motor drives. Control of slip-ring induction motor drives. Self-commissioning and self-adaptation techniques in drives. Sensor-less techniques in drives. Fault tolerant controllers and converters. Other recent topics on drives.
Recent developments in power electronics.
Upcoming power electronic devices- SiC and GaN devices. Design of power electronic converters, Introduction to soft-switching in dc-dc and dc-ac applications.
Introduction to High Power devices IGBT, Thyristor, IGCT. Different topologies of high power converters Voltage Source and current source converter, 2- level converters, 3 level NPC converter, Cascaded H-Bridge Multilevel Converters, Modular multilevel converters. Pulse width modulation techniques for high power converters Level shifted PWM, Phase shifted PWM, Space vector PWM for multilevel converters. Design of high power converter components, operational issues, fault tolerant operat.ion, reliability, mechanical design. Design of filters for high power converters. Relevant IEEE and IEC standards for high power converters.
Recent developments in the area of electrical machines.
Introduction to Advanced Topics in Electrical Machines, Synchronous Reluctance Machines, Hybrid Motors, Linear Motors, Super conducting Machines, PCB Motors, Micro motors, Written Pole Machines. Applications of all these advanced motors in field of Robotics, Automation, Electric Vehicles, pumping etc. The rating consideration and special advantages with these motors in various practical or field conditions is primary objective of this course. Other Advanced machines, Case Studies, Computer Aided Simulation of Electrical Machines are added for enhanced understanding of the topic.
The course includes the need for condition monitoring. Three main subdivisions of the course are types of fault and their symptoms, diagnostic methods to identify these faults and a deep signal processing analysis for fault diagnosis. The various components prone to fault are stator, rotor, shaft, gear box, bearing etc. The diagnosis methods includes diagnosis based on temperature, infrared signal, vibration, noise, motor current signature analysis etc. various signal processing techniques such as fuzzy logic, neural network from fault diagnosis point of view are also included in this course.
Introduction of Standards and standardizations, specifications, frame size, basic design methodology and engineering considerations. Properties of electric, magnetic and insulating materials. Choice of materials, frames etc. Computerization of design procedures. Optimization techniques and their application to design problems. Design of large and h.p. motors. Database and knowledge based expert systems. Development of PC based software.
Review of Digital signal processors, Laplace transforms, Theory of sampling, z-transformations, sampling techniques, Digital PWM generation schemes, Realization of different PWMs using DSPs, Control of DC-DC Converters, Inverters, DC and Ac Machines.
Historical Aspects From Maxwell to Current Wireless standards; The bridge between communication system designer and RF IC Designer: a) Comm. system characterization, b)RF System Characterization; Transceiver Architectures Motivation for the individual blocks; Lumped, passive RLC, RF properties of MOS, Tuned Amplifiers; LNAs: Noise sources, Cascades and LNA Design; Mixers passive and active mixers ; Oscillators: Analysis Fundamentals, Inductors, LC Oscillators and VCOs; Frequency synthesizers: Principles, Integer N vs Fractional PLL, Design Concepts.
Algorithms for design, modelling, and simulation ranging from VLSI, MEMS, to nanoassembly; computer aided nano-design for materials.
VLSI Scaling rules and their impact: Short channel effect, Sub threshold leakage current, Gate leakage, VTH and body bias; Low power design: Technology level: 3D and 4 terminal MOSFETs, PDSOI, FDSOI, FINFET; Sub threshold leakage control: Transistor stacking in digital logic Multiple VTH, VDD designs, Dynamically adjustable VTH; Digital Circuit Design: Digital Sub-threshold Logic, Noise Immunity, Clock gating, Switching activity minimization; Analog Circuit Design: gm/ID Methodology for Design, Low power, low voltage opamp design, Subthreshold operation of opamps; Architecture level: Array Based Architectures, Parallel and Pipelined Architectures; Interconnects & Noise: Capacitive & Inductive coupling Analysis & Optimization, Power/Ground Noise, L*di/dt noise, Power/Ground Placement Optimization, Decoupling.
Study of different types of networks, the enabling technologies and devices. Broadcast and Select network. Single and Multi-hop networks with example of Access networks, PONS etc., Wavelength Routing network, virtual topology, Metro and Wide area networks. Wavelength Routing and Assignment, Traffic Grooming and Protection, Network Control and Management, Optical packet and burst switching, Network Simulation Tools and Design guidelines.
EM Waves, Maxwells Equations, Origin of Permittivity, Evanescent Waves, Surface Plasmons, Scattering and Diffraction, Spoof Surface Plasmon, Extraordinary Optical Transmission, Numerical Simulations of Surface Plasmons, Negative Index Materials.
Types of Data Networks, types of access and edge networks, core networks, OSS/NMS and Telecom Management network (TMN), Teletraffic Theory and Network analysis.
Contents: Types of access networks, wired (copper and optical) and wireless access networks, management, dimensioning and scaling of access networks, access network design.
Introduction to satellite communication and orbital theory, satellite antennas, satellite link design, channel models for satellite links, modulation, multiple access techniques for satellite communication, VSAT, introduction to MIMO systems and error analysis, multiple antenna based satellite communication, hybrid satellite-terrestrial communication system.|There are no laboratory or design activities involved with this course.
Introduction to space-time diversity, MIMO channel, MIMO information theory, error probability analysis, transmit diversity and space-time coding, linear STBC design, differential coding for MIMO, precoding, multiuser MIMO; There are no laboratory or design activities involved with this course.
General introduction, optical channel modeling, background noise calculations, Modulation techniques: M-PPM, OOK, mxn PAPM, subcarrier modulation, DPPM, DHPIM, DAPPM, psd and bandwidth requirement evaluation, Detection techniques - Photon counter, PMT, coherent techniques, bit error rate evaluation in presence of atmospheric turbulence, concept of adaptive threshold, effect of turbulence and weather conditions viz., drizzle, haze fog on error performance and channel capacity, link availability.
Capacity of single-user Gaussian multi-antenna deterministic channels and optimal strategies. Reliable transmission in single user state dependent channels. Capacity of Gaussian single-antenna fading channels with state (RX CSI, Full CSI). Capacity of single-antenna frequency-selective fading channels (OFDM modulation, waterfilling across frequency). Capacity of Gaussian multi-antenna single user fading channels (RX CSI only, Full CSI). Spatial multiplexing gain, array gain. Transmitter and receiver architectures, V-BLAST transmission, Zero-Forcing receiver, MMSE receiver, MMSESIC receiver. Optimality of MMSE-SIC. Capacity region of the multi-user Gaussian MAC channel. Capacity region of the multiuser Gaussian Broadcast channel (BC) with single-antenna terminals. Capacity of state dependent channels with non-causal side information (Gelfand-Pinsker coding). Dirty paper coding to pre-cancel known interference. MAC-BC duality. Capacity region of the multi-user Gaussian Broadcast channel with multi-antenna terminals (Dirty paper coding achieves the capacity region). Capacity region of the Interference channel. There are no laboratory or design activities involved in this course.
Frequency bands and allocations. Earth and its effects on propagation. Atmosphere and its effects on propagation. Attenuation of millimeter waves. Line-of-sight communication links: system configuration, multiplexing, link design. Troposcatter propagation and links: Fadingand diversity reception, path profile and path loss, link design, signal design for fading channels.
Introduction to cyber security, information assurance, computer security and the associated threat, attack, adversary models, identity representation, management and access control, intrusion detection, security at different levels: network, system, user, program security, network security, wireless security, mobile security, hardware security and the security of cyber physical systems.
To be decided by the Instructor when floating this course: Can be anything that is related to systems and control engineering but is not covered in any of the established courses.
Overview of stochastic systems with examples, Modeling of Stochastic Systems: Continuous and discrete-time models subjected to noise, Markov Decision Processes, Introduction to Stochastic Calculus and Stochastic Differential Equations, Stochastic Stability, Stochastic Optimal Control with complete and partial observations, finite and infinite horizon problems, Linear and nonlinear Filtering, Separation Principle, Linear quadratic Gaussian Problem, Stochastic Dynamic Programming, Stochastic Adaptive Control, Applications: Finance, operations research, biology.