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.

Fundamental concepts of sensors, driving/readout electronics; rational design of sensors, state-of-the-art commercial sensing, remote sensing, Internet of Things; Strain, piezoelectric, pressure, temperature, GPS, chemical, biological, resistive, capacitive sensors, photodetectors, accelerometers, gyroscopes; optical, magnetic sensors, RF sensors, power electronics, self-powered sensors; Sensor networks based on WiFi, 4G, Bluetooth; Human/Animal sensory systems; Feedback control systems; Microfabrication of sensors

Discrete and continuous random variables and processes, functions of random variables, independence of random variables. Central Limit Theorem. Discrete-time random processes, continuous-time random processes, stationary random processes, ergodicity, auto and cross correlation functions, power spectral density, spectral estimation, white noise processes, Markov chains.

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.

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.

Parameter Estimation, Cramer-Rao Lower Bound, Maximum Likelihood/ Maximum A Posteriori Estimation, Stochastic Least Squares Estimation, Wiener and Kalman Filtering, Hypothesis Testing, Signal Detection

Design, simulation, and optimization of integrated photonics structures, the notion of fabless silicon photonics, metal and dielectric waveguides, planar waveguide modes, coupled mode theory, integrated passive couplers and splitters, Mach-Zehnder Interferometers, ring and disk resonators, adiabatic couplers, Bragg gratings, grating and edge couplers, photonic crystal waveguides and structures, principles of integrated modulator and detector operation, fabrication-dependent design considerations, use of transfer matrix, eigenmode expansion, and finite difference time-domain simulation techniques throughout the semester, design oriented and simulation based assignments and term project.

Introduction to device physics fundamentals of emerging energy technologies, the fundamentals of the latest innovations and research in different energy devices, a wide range of energy devices, such as solar cells, batteries, hydropower, wind power, thermoelectric, and biomass devices the physical and engineering principles underlying each technology including their economical advantages and drawbacks, how these technologies can be integrated to grid what are smart grid functions, grid energy storage, electric vehicles, etc.

A capstone design course where students apply engineering and science knowledge in an electrical-electronics engineering design project. Development, design, implementation and management of a project in teams under realistic constraints and conditions. Emphasis on communication, teamwork and presentation skills..

A capstone design project on an industrially relevant problem. Students work on teams in consultation with various faculty and industrial members.

Discrete and continuous random variables and processes, functions of random variables, independence of random variables. Central Limit Theorem. Discrete-time random processes, continuous-time random processes, stationary random processes, ergodicity, auto and cross correlation functions, power spectral density; spectral estimation, white noise processes, Markov chains.

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.

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; geometrical optics, analysis of optical systems; wave properties of light, Gaussian beams, beam optics; interaction of light with matter, spontaneous and stimulated emission, optical amplification, theory and applications of lasers, optical interactions in semiconductors, light emitting diodes and diode lasers; detectors, noise in detection systems; light propagation in anisotropic crystals, Pockels and Kerr effect, light modulators; nonlinear optics, second harmonic generation, phase matching, nonlinear optical materials.

Hypothesis Testing, Signal Detection, Parameter Estimation, Cramer-Rao Lower Bound, Maximum Likelihood/ Maximum a Posteriori Estimation, Stochastic Least Squares Estimation and Kalman Filtering.

Design, simulation, and optimization of integrated photonics structures, the notion of fabless silicon photonics, metal and dielectric waveguides, planar waveguide modes, coupled mode theory, integrated passive couplers and splitters, Mach-Zehnder Interferometers, ring and disk resonators, adiabatic couplers, Bragg gratings, grating and edge couplers, photonic crystal waveguides and structures, principles of integrated modulator and detector operation, fabrication-dependent design considerations, use of transfer matrix, eigenmode expansion, and finite difference time-domain simulation techniques throughout the semester, design oriented and simulation based assignments and term project.

A series of lectures given by faculty or outside speakers.

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)