Teaching

As a full-time faculty member in the Department of Electrical Engineering and Computer Science at Howard University since August 2019, my teaching portfolio is extensive and specialized. My courses cover a broad spectrum of topics, including but not limited to Optimization Theory, Linear Control Systems, Signal Processing, Fundamentals of Signals and systems, and Fundamentals of Digital Systems. This breadth of subjects allows me to offer students a rounded and comprehensive understanding of the EECS field, seamlessly merging theoretical foundations with real-world applications. For registration in any of my courses, please go to Howard University's official website. If you have specific questions about course content, feel free to contact me at fadel.lashhab@howard.edu.

EECE 604: Optimization Theory

Term & Year(s): Fall 2019, 2020, 2021, 2022, 2023

The course uses analytical, numerical, and evolutionary algorithms to cover theories and methods for solving unconstrained and constrained linear, nonlinear, integer, convex, static, and dynamic optimization problems. 

EECE-495: Signal Processing

Term & Year(s): Fall 2020, 2021, 2022, 2023

Presents sampling as a modulation process; aliasing; the sampling theorem; the Z-transform and discrete-time system analysis; direct and computer-aided design of recursive and non-recursive digital filters; the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); digital filtering using the FFT; analog-to-digital and digital-to-analog conversion; effects of quantization and finite-word-length arithmetic, and design and implementation of these algorithms on Motorola family of Digital Signal Processor chips and other similar DSP chips.

EECE-408: Linear Control Systems

Term & Year(s): Spring 2020, 2021

Deals with the analysis of time and frequency response of closed-loop systems, block diagrams, signal flow graphs, Mason gain, Routh-Hurwitz and Nyquist criteria for stability, root-locus method and system specifications, compensators, state variable methods, and an introduction to digital control.

EECE 603: Control Theory

Term & Year(s): Spring 2020, 2021

This course introduces linear systems, transfer functions, and Laplace transforms. It covers stability and feedback and provides basic design tools for transient response specifications. It also covers frequency-domain techniques and state-space design. This course includes MATLAB experiments and a control design project. 

CSCI 165: Scientific Computing for Eng.

Term & Year(s): Fall 2022, 2023

Introduces programming and the use of digital computers through symbolic programming. Programming includes general problem-solving and the systematic development of algorithms; service consists of the coding of programs and practical experience in MATLAB. 

Fundamentals of Digital Systems EECS 212 & Lab EECS 218

Term & Year(s): Fall 2023

Introduction to hardware building blocks used in digital computers and systems. Introduces number systems (including binary, octal, and hexadecimal), Boolean algebra, two-level/multilevel logic minimization/simplification using K-Maps and Quine-McCluskey methods, combinational logic circuit design and implementation with available SSI, MSI, and programmable logic devices (PAL, PLA, multiplexers, encoders, and ROMS). Practical considerations such as hazards and glitches are treated. The basics of sequential logic design are presented, including latches, flip-flops, registers, counters, finite state machine design, minimization, and implementation. 

EECE- 333: Fundamentals of Signals & Systems

Term & Year(s): Spring 2021, 2022

The design-based course comprehensively treats basic signal theory in time and frequency domains. Discrete and continuous-time cases are treated in this course simultaneously. This course covers signals and systems concepts, convolution of difference and differential systems, block diagrams, state-space realizations and solutions, matrix theory, Fourier series, transform techniques (Fourier, FFT, Z, and Laplace), frequency response, and stability. Exercises include traditional homework problems and computer applications such as MATLAB (laboratory generation of various signals and applications to system response and design projects).

EECE-160: Engineering Math

Term & Year(s): Spring 2020, 2021, 2022

The course introduces the history and importance of engineering Mathematics, trigonometry in engineering, 2-D vectors in engineering, complex numbers in engineering, 3-D vectors in engineering, systems of equations in engineering, application of derivatives in engineering, application of integrals in engineering, solving a differential equation, applications of differential equations in engineering, Laplace transforms and applications, Interdisciplinary Applications.  MATLAB is used in this course.

EECE 203: Fundamentals of Circuit Theory

Term & Year(s): Summer 2023, Summer 2022

Understanding basic circuit theory, circuit theorems, DC, AC circuits, magnetic circuits, transients, Laplace and Fourier transforms, Fourier series, electric devices, a 2-port network, basic filters, and op-amps.