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.

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.

A Brief History of Electrical and Electronics (EE) Engineering, overview of EE curriculum and tracks, overlaps of tyracks and current applications, description of signals and frequencies, presentation of some subjects by experts such as Signal Processing, Electronics, Communications, Electromagnetism, Optics and their natural extensions Micro-Electro-Mechanical systems, Networks, Vision and Video Processing, Lasers and Photonic systems,Biomedical, MATLAB Programming Language.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

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.

DC Circuits, Basic Concepts, Basic Laws, Methods of Analysis, Circuit Theorems, Operational Amplifiers, Capacitors and Inductors, First-Order Circuits. AC Circuits: Sinusoids and Phasors, Sinusoidal Steady-State Analysis, AC Power Analysis, , Magnetically Coupled Circuits, Applications of the Laplace Transform, Frequency Response, Bode plots

Computer technology, digital hardware, Boolean algebra, logic functions and gates, canonical forms, simplification of Boolean functions, Karnaugh maps, number systems, complement arithmetic, combinational logic, adders, multiplexers, decoders, encoders, tri-state outputs, sequential logic, flip-flops, sequential circuit analysis, sequential circuit design, registers and counters, algorithmic state machines, programmable logic, central processing unit, design and simulation assignments.

Engineering problem solving and design using C/C++ programming languages. The course will cover concepts of C/C++ programming languages, including variables and functions, pointers and memory addressing, arrays, objects and classes, followed by examples in numerical methods, engineering analysis and design problems.

Review of the frequency concept; analysis of circuits as linear systems, frequency response of circuits; introduction to communication systems, analog/digital modulation and demodulation; analog amplitude, frequency and phase modulation; digital amplitude shift keying, frequency shift keying and phase shift keying; review of bilateral and unilateral Laplace transform; introduction to z-transform; introduction to analog and digital control systems, first and second order systems, stability of closed-loop systems; root-locus method; frequency-domain methods and bode plots.

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.

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.

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.

Review of multi-dimensional sampling theory, aliasing, and quantization, fundamentals of color, human visual system, 2-D Block transforms, DFT, DCT and wavelets. Image filtering, edge detection, enhancement, and restoration. Basic video file formats, resolutions, and bit rates for various digital video applications. Motion analysis and estimation using 2D and 3D models. Motion-compensated filtering methods for noise removal, de-interlacing, and resolution enhancement. Digital image and video compression methods and standards, including JPEG/JPEG2000 and MPEG-1/2 and 4. Content-based image and video indexing and MPEG-7.

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.

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.

Supervised Adaptive Filtering (Least Mean Square, Recursive Least Squares, Fast Algorithms), Unsupervised Adaptive Filtering (Higher Order Statistics Methods, Blind Deconvolution, Blind Source Separation, Independent Component Analysis), Model Based Signal Processing (Sparsity, Boundedness, Subspace Algorithms), Multirate Signal Processing, Filter-banks and Wavelets.

The optoelectronic devices such as light-emitting diodes, lasers, photodetectors, etc. are widely used in modern lighting, information and telecommunication technologies. We will discuss the following topics with mathematical derivations and exciting practical examples: wave nature of light, dielectric waveguides and optical fibers, semiconductor science and light-emitting diodes, stimulated emission devices: optical amplifiers and lasers, photodetectors and image sensors, and polarization and modulation of light.

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.

Recent applications of wearable devices, design fundamentals of physiological monitoring systems, overview of physiological signals (SCG, ECG, PPG, EEG, EMG, etc.). Tools for biomedical signal analysis: digital filters, feature extraction, data visualization and machine learning (regression and classification).

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..

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.