MEMS and Microsystems

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Overview Introduction, Evoluation of MEMS, Microsensors. MEMS Materials, Microelectronic Technology, Etch Stop Techniques, Fabrication of Micromachined Microstructure, Microstereolithography, MEMS Pressure and Flow Sensor, MEMS Gyro Sensor, MEMS for Space Application, Wafer Bonding, Packaging of MEMS, MEMS for Biomedical Applications (Bio-MEMS).

Solid State Devices

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Overview Introduction, Semiconductor, Equilibrium Carrier Concentration, Carrier Transport, Excess Carriers, PN Junction, Procedure for Device Analysis, Bipolar Junction Transistor (BJT), Metal-Oxide-Semiconductor(MOS)Junction, MOS Field Effect Transistor (MOSFET).

Transmission Lines and EM Waves

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Transmission lines are used to transfer electromagnetic energy from one point to another with minimum losses over a wideband of frequencies. There are three major types of transmission lines: transverse electromagnetic (TEM) mode, transverse electric (TE) mode and transverse magnetic (TM) mode.

Basic Electronics and Lab

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Overview Introduction to Basic Electronics, Electronic Devices, Semi Conductor Diodes, Wave Shaping using Diodes, Zener Diode Characteristics, Transistor Biasing, H-Parameters, Frequency Analysis, Differential Amplifiers, Types of Feed Back, Characteristics of Operation Amplifier, Oscillatiors, Unit Junction Transistor (UJT).

Introduction to Linear Dynamical Systems

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Overview Contents: Overview Of Linear Dynamical Systems - Linear Functions - Linearization - Nullspace Of A Matrix - Orthonormal Set Of Vectors - Least-Squares - Least-Squares Polynomial Fitting - Multi-Objective Least-Squares - Least-Norm Solution - Examples Of Autonomous Linear Dynamical Systems - Solution via Laplace Transform And Matrix Exponential - Time Transfer Property - Markov Chain (Example) - Jordan Canonical Form - DC Or Static Gain Matrix - RC Circuit (Example) - Gain Of A Matrix In A Direction - Sensitivity Of Linear Equations To Data Error - Reachability, Controllable System - Continuous - Time Reachability

Convex Optimization I

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Overview Contents: Introduction - Guest-Logistics, Convex Functions - Vector Composition - Optimal And Locally Optimal Points - Linear-Fractional Program - Generalized Inequality Constraints - Lagrangian, Lagrange Dual Function - Complementary Slackness - Applications Section Of The Course-Statistical Estimation - Continue On Experiment Design - Linear Discrimination (Cont.),LU Factorization (Cont.) - Algorithm Section Of The Course - Continue On Unconstrained Minimization - Newton - Logarithmic Barrier-Interior-Point Methods

Convex Optimization II

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Overview Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch and bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and communications.

Adaptive Signal Processing

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Overview Contents: Introduction to Adaptive Filters, Introduction to Stochastic Processes, Correlation Structure, FIR Wiener Filter, LMS Algorithm, Convergence Analysis, Sign LMS Algorithm, Block LMS Algorithm, Vector Space Treatment to Random Variables, Introduction to Linear Prediction, Lattice Filter and Recursions, Gradient Adaptive Lattice, RLS Lattice Recursions, Systolic Implementation, Singular Value Decomposition.

Circuits and Electronics

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Overview Introduction and lumped abstraction - Basic circuit analysis method (KVL and KCL mMethod) - Superposition, Thevenin and Norton - The digital abstraction - Inside the digital gate - Nonlinear analysis - Incremental analysis