Basic MOS device. Overview of non-ideal behaviour of deep sub-micron MOS transistors. Analysis and design of current mirrors and current sources. Analysis and design of single stage amplifiers, differential amplifiers: Small signal analysis, frequency response, noise, linearity. Analysis and design of OTA circuits – differential pair, cascodes, folded-cascodes, two-stage OTAs. Stability, frequency compensation, MRR, PSRR. Feedback. Fully differential op-amps, CMFB. Bandgap references. Output stages. Switched-capacitor circuits, comparators.

Broad-stroke overview – History of Microsystem Technology with overview on commercial products, Sensing & Actuation Principles of Microsystems, Applications-MEMS Materials and Fabrication Technology Microelectronic technologies for MEMS, Micromachining Technology: Surface and Bulk Micromachining, -Design and modelling of MEMS/Microsystem: Mechanics of MEMS/Microsystems- Elasticity-Stress/strain analysis of beams, membranes etc., thin film stress-Dynamics of Microsystems MEMS Transduction Mechanisms: Optical, piezoelectric, piezoresistive, FET based transduction etc.

Review of quantum mechanics, E-K diagrams, effective mass, electrons and holes in semiconductors, band diagram of silicon, carrier concentration, carrier statistics, carrier transport, junction devices(P-N junction, Metal –semiconductor junctions, solar cells etc.), MOS capacitor as a building block for MOSFETs (Ideal MOS, real/Non ideal MOS, band diagrams, C-V characteristics, electrostatics of a MOSCAP), MOSFET, I-V characteristics, scaling, short channel and narrow channel effects, high field effects, Reliability of transistor.

Multidisciplinary Design Optimization (MDO): Need and importance – Coupled systems – Analyser vs. evaluator – Single vs. bi-level optimisation – Nested vs.

Kernel Methods: reproducing kernel Hilbert space concepts, kernel algorithms, multiple kernels, graph kernels; multitasking, deep learning architectures; spectral clustering ;model based clustering, independent component analysis; sequential data: Hidden Markhov models; factor analysis; graphical models; reinforcement learning; Gaussian processes; motiff discovery; graph based semi supervised learning; natural language processing algorithms.

Introduction to data mining concepts; linear methods for regression; classification methods: k- nearest neighbor classifiers, decision tree, logistic regression, naive Bayes, Gaussian discriminant analysis; model evaluation & selection; unsupervised learning: association rules; apriority algorithm, FP tree, cluster analysis, self- organizing maps, google page ranking; dimensionality reduction methods: supervised featureselection, principal component analysis; ensemble learning: bagging, boosting, Ada Boost; outlier mining; imbalance problem; multi class classification; evolutionary comp

Optimization: need for unconstrained methods in solving constrained problems, necessary conditions of unconstrained optimization, structure methods, quadratic models, methods of line search, steepest descent method; quasi-Newton methods: DFP, BFGS, conjugate-direction methods: methods for sums of squares and nonlinear equations; linear programming: sim- plex methods, duality in linear programming, transportation problem; nonlinear programming:

Module 1: Role of Interface Electronics, Analog Electronic Blocks, OPAMP – internal structure, Open-loop gain, Input R, Output R, DC noise sources and their drifts, CMRR, PSRR, Bandwidth and stability, Slew rate, Noise – general introduction, OPAMP Circuits and Analysis - Difference and Instrumentation Amplifiers (3- opamp and 2-opamp), Effect of cable capacitance and wire-resistance on CMRR, IA with guards, Biomedical application, Current-mode IA (Howland), Current-input IA, filters, Filters with underdamped response, state- variable filters, All-pass filters, Current Sources (floating and

Basic Concepts of dynamical systems and stability. Modelling of power system components for stability studies: generators, transmission lines, excitation and prime mover controllers, flexible AC transmission (FACTS) controllers.; Analysis of single machine and multi-machine systems. Small signal angle instability (low frequency oscillations): damping and synchronizing torque analysis, eigenvalue analysis.; Mitigation using power system stabilizers and supplementary modulation control of FACTS devices.

DC-AC Converters for control of AC Drives: Voltage Source Inverters, square wave operation, harmonic analysis, pulse width modulation (PWM) techniques, Space Vector PWM, Multilevel Inverters, Current Source Inverters.

Induction Motor Drives: Modelling of Induction Motors, Reference frame theory, speed-torque characteristics, Scalar control of Induction Motors, closed-loop operation, Vector control and field orientation, sensor- less control, flux observers, Direct torque and flux control.