Introduction to the process of investing in financial securities; overview of the investment decision-making process; analysis of securities markets and trading practices; asset pricing under the capital asset pricing and the arbitrage pricing models; principles of modern portfolio theory; performance measurement techniques; asset allocation strategies; introduction to fixed income and derivative securites, risk management strategies.

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.

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.

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.

Review of vector calculus; electrostatics, Gauss' law, Poisson's equation, dielectric materials, electrostatic energy, boundary-value problems; magnetostatics, law of Biot and Savart, Ampere's law, magnetic forces and materials, magnetic energy; electromagnetic induction; Faraday's law; Maxwell's equations, Poynting's theorem.

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.

Review of discrete-time Fourier transform and sampling theory. Interpolation and decimation. Sampling in the frequency domain. The discrete Fourier transform and FFT, computation of FFT, Fourier analysis of signals using the FFT, spectral estimation and windows. The Z-transform, digital filtering, minimum-phase and generalized linear phase systems, structures for digital filters, FIR filter design methods, IIR filter design methods.

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.

Hardware description languages, digital logic synthesis, combinational logic, arithmetic logic, sequential logic, memory and control units, computer organization. Field Programmable Gate Arrays (FPGA). Laboratory work, design project.

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.

Overview of Communication Systems, Double Side Band Suppressed Carrier Modulation Based Transceivers, Hilbert Transform, Single Side Band Suppressed Carrier Modulation Based Transceivers, Analog Quadrature Amplitude Modulation, Baseband Equivalent Model, Phase and Frequency Modulation, Super Heterodyne Receiver, Digital Modulation, Binary Phase Shift Keying Modulation, Quadrature Phase Shift Keying Modulation, Phase Distortion and Differential Modulation, Digital Quadrature Amplitude Modulation.

Basics of linear algebra and their applications to data-centric real-world problems with real-time coding and demonstrations. Vectors and matrices, eigenvalues, eigenvectors and singular value decomposition: mathematical foundations, geometrical intuitions and practical applications. Least Squares for data fitting and classification, Markov Chains, Principal Component Analysis (PCA), low-rank approximation and compression, clustering, gradient descent (batch- minibatch and stochastic) and basics of neural networks.