The focus of the course is the empirical applications and tests of macroeconomic and/or microeconomic theories. Students are provided with the ability to analyze the standard econometric applications.
The use of laboratory and field experiments as a data collection method for understanding economic decisions and testing economic theories; how to design a good and valid economics experiment, the methodology of experimental design. The topics that will be studied theoretically and experimentally in the course include decision-making under risk and uncertainty, decision-making over time and related psychological phenomena/biases, market experiments, bargaining experiments, social preferences, fairness and altruism, incentive schemes and motivation, gender and economic decisions.
Analysis of problems created by informational asymmetries between agents and how to design contracts to solve these problems; Topics covered include adverse selection, screening, signaling, and moral hazard; Applications to insurance, labor, and credit markets, auctions, and corporate finance.
Topics will be announced before the semester.
Topics will be announced before the semester.
Participation in weekly seminar is required.
Analysis of special corporate finance topics including dividend policy, capital structure, leasing, option valuation, risk management, mergers, and acquisitions.
Analysis of special corporate finance topics including dividend policy, capital structure, leasing, option valuation, risk management, mergers, and acquisitions.
Structure of financial markets and financial intermediaries; interest rates and security valuation; central banking system and monetary policy; securities markets including money, capital, foreign exchange, and derivatives markets; commercial banking and other depository institutions; institutional investors, including investment banks, insurance companies, mutual funds, and pension funds; introduction to financial risk management.
Introduction to discrete and continuous time signals and systems. Time-domain signal representations, impulse response of linear time-invariant (LTI) systems, and convolution. Frequency domain signal representations, frequency response of LTI systems, and Fourier analysis. Filtering of continuous and discrete time signals. Sampling and discrete time processing of analog signals. Laplace-transform domain analysis of continuous-time LTI systems. Exercises using MATLAB.
Computer technology, digital hardware, boolean algebra, logic functions and gates, canonical forms, simplification of boolean functions, Karnaugh maps, number systems, conversions, complement arithmetic, adders, multiplexers, tri-state outputs, decoders, encoders, sequential logic, flip-flops, sequential circuit analysis, sequential circuit design, registers and counters, memory and programmable logic, central processing unit. A design project.
Hands-on, engineering introduction to feedback control systems; analysis and design of discrete-time, sampled data feedback control systems with a practical emphasis; mathematical modeling and theory of such systems based on difference equations in assessing the steady-state, transient and stability performance; practical lab work based on a custom, micro-controller based mixed hardware-software setup; modeling, designing, optimizing and building PID (proportional-integral-derivative) controllers for practical feedback control systems.
Introduction to semiconductors and semiconductor device physics. Diode, bipolar junction transistor, and MOS field effect transistor circuit models for design and analysis of electronic circuits. Analysis and design of single and multistage amplifiers. Amplifier operating point design. High frequency and low frequency response of single and multistage amplifiers. Introduction to integrated-circuit amplifiers.
Review of Maxwell's equations; conservation laws; electromagnetic waves; propagation of electromagnetic waves in conductors and dielectrics; transmission lines; waveguides; potentials and fields; radiation theory; electrodynamics and special theory of relativity.
An introduction to the design of embedded systems with an emphasis on understanding the microcomputer fundamentals by relating hardware, software and the physical applications. Topics covered include architecture and operation of a typical microprocessor, assembly language programming, serial and parallel input/output, memory (RAM and ROM), interrupts, concurrency management, and real-time constraints.
A minimum of 20 working days of training in an industrial summer practice program after the completion of second year. The training is based on the contents of the "Summer Practice Guide Booklet" prepared by each engineering department. Students receive practical knowledge and hands-on experience in an industrial setting.
High-frequency techniques; Maxwells equations and wave phenomenon; characterization of high-frequency circuits via S-parameters; concepts of group velocity and dispersion, and their effects on high-speed digital circuits; analysis and design of microstrip lines and other transmission media; microwave passive and active components; design of matching networks and high frequency amplifiers.
Linear Algebra Review, Normal Matrices, Quadratic Forms and Semidefinite Matrices, Inner Product and Norm Spaces, State Space Descriptions for Continuous and Discrete Time Systems, Controllability, Observability, Stability, Realization Theory.
Study of computational models of visual perception and their implementation in computer systems. Topics include: image formation; edge, corner and boundary extraction, segmentation, matching, pattern recognition and classification techniques; 3-D Vision: projection geometry, camera calibration, shape from stereo/silhouette/shading, model-based 3D object recognition; color texture, radiometry and BDRF; motion analysis.
Probability theory, stochastic processes, characterization of digital communication signals and systems, digital modulation schemes, optimum receivers for additive white gaussian noise (AWGN) channels, signal design for band-limited channels, inter-symbol interference (ISI), optimum reception for channels with ISI and AWGN, linear equalization, adaptive equalization, entropy and source coding, channel capacity and coding.
Principles of computer networks and network protocols; Internet protocol stack with emphasis on application, transport, network and link layers; network edge and network core; client/server and peer-to-peer models; routing algorithms; reliable data transfer; flow and congestion control; protocol design and analysis; network performance metrics; software-defined networks; network programming and distributed applications.
Introduction to mathematical formulations and computational techniques for the modeling and simulation of engineering and other kinds of systems, including electronic, mechanical, biological, biochemical, virtual, abstract and multi-domain dynamical systems. Applications from various engineering disciplines and the sciences. Matrix formulation of equations for linear problems. Formulation of equations for nonlinear problems & linearization. Numerical solution of linear algebraic equations. Gaussian elimination, computations with sparse & structured matrices. Floating point number representation & arithmetic. Numerical conditioning, ill-conditioned problems. Numerical solution of nonlinear algebraic equations. Fixed point iteration & Newton’s method in one dimension. Newton’s method for system of coupled nonlinear algebraic equations. Improving convergence of Newton’s method. Numerical solution of ordinary differential equations. Forward & backward Euler, trapezoidal rule. Multistep methods, accuracy & stability. Implicit vs explicit techniques, region of stability, stiff problems.
Review of electromagnetism; electromagnetic nature of light, radiation, geometrical optics, Gaussian beams, transformation of Gaussian beams; electromagnetic modes of an optical resonator, interaction of light with matter, classical theory of absorption and dispersion, broadening processes, Rayleigh scattering, quantum theory of spontaneous and stimulated emission, optical amplification, theory of laser oscillation, examples of laser systems, Q switching and mode locking of lasers.
Fundamentals of optics and applications of the optical technology: photon and wave nature of light, geometrical optics, optical instruments, electro-magnetic waves, interference and interferometers, fiber optics, diffraction, diffraction gratings, polarization and its applications, multi-layer films, Fresnel equations, and rainbows. Real world applications of course topics.