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===================Satisfied or refunded======================= Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer courses in engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Computational Sciences and Technology SNT IS engineering sciences Numerical and computer science SNI Digital electronics Analog electronic electromagnetism Signal processing and data acquisition Automatic (discrete, continuous) electrical engineering (transformers, electrical machines, switching power supply) C/C++ Programming, Assembler, ARM, STM32 renewable energy (wind, PV-solar) RDM - strength of materials mechanics of solids Python and SYSML PIC microcontroller Microprocessor MATLAB, proteus Preparation for competitions Supervision of graduation projects CAPLP Electrotechnical and Electronic Electrical Engineering CAPLP and BTS subjects and answers Correction caplp 2017 CAPLP 2018 CAPLP 2019 CAPLP 2020 CORRECTION OF BTS TESTS

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Lesson: This course is a cornerstone for any student aspiring to excel in scientific and technological fields. The lesson focuses on transitioning from traditional mathematics to the world of "instantaneous change" through the study of limits, derivatives, and their vital applications. In this course you will learn: • A deep understanding of Limits and Continuity. • Mastering the rules of differentiation for various functions (trigonometric, exponential, and logarithmic functions). • Applying differentiation to solve real-world problems such as finding maximum, minimum, and time-related rates. • A preliminary introduction to the concept of integration and spaces. This content is designed to be a practical and comprehensive guide to help you excel academically and pass exams with high efficiency. ): Calculus I serves as the bridge between school mathematics and advanced university science. This course is specifically designed to enable students to understand the "language of movement and change" that governs our world, and it is a fundamental and essential requirement for engineering, artificial intelligence, and science students at top universities nationwide. What will the student learn on this academic journey? • The philosophy of limits and continuity: We will break the barrier of fear of limits, to learn how to predict the behavior of functions at critical points and how to determine the continuity of curves, which is a vital basis for understanding the stability of geometric systems. • The Art of Derivative: The student will practice extracting the instantaneous rate of change using advanced differentiation rules (Product, Quotient, and Chain Rules), with a strong focus on trigonometric and logarithmic functions that appear frequently in EmSAT exams. • Real-world applications (Optimization): We will not be satisfied with paper-based solutions, but will learn how to use differentiation to find optimal solutions (maximum and minimum values), such as determining the shortest path or achieving the highest technical efficiency at the lowest possible cost. • Introduction to Integration: We will lay the foundation for the science of integration by understanding the inverse relationship between differential and integral calculus, which will fully prepare the student for the Calculus 2 course. Why choose this lesson? We don't just solve equations; we aim to build an "analytical mindset." This approach simplifies complex concepts, connects them to practical realities, and equips students with smart strategies for tackling the most frequently asked exam questions in UAE university curricula, ensuring not just success, but excellence and an A grade. Additional information for the student (more detailed): • Prerequisites: The student should preferably have a good understanding of the basics of algebra and the ability to solve equations and inequalities. • Required tools: A scientific calculator (preferably advanced models such as those allowed in EMAST), and a graph book to track the behavior of the curves. • Session approach: We follow a strict and organized system of explanation based on progression from easy to difficult, while providing training examples that simulate actual final exams.

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I hold a PhD in Mechanical Engineering and currently, I am working as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology). I have extensive experience in teaching various Mechanical design packages, including LS-DYNA, ANSYS, APDL programming, ABAQUS, MATLAB, SolidWorks, Cura, and Symbolic MATLAB. Some of the finite element modeling and numerical simulations I have worked on include: - Multiscale finite element modeling for fatigue crack propagation in porous materials. - Analysis of multiple-layer sandwich structures' resistance to bird-strike impact [Read paper]. - Investigation of debonding propagation in aluminum and glass/epoxy composite joints under fatigue loading using Fracture Mechanics principles. - Computational prediction of the fatigue behavior of additively manufactured porous metallic biomaterials. - Study of the effect of material type, stacking sequence, and impact location on pedestrian head injury in collisions. If you have any additional questions before starting the class, please don't hesitate to ask me. I am here to help! :)