Electrical Engineering Courses for Students :: Beginner and Advanced Levels
Electrical Engineer with more than 6 years of experience, offers personalized training support for future graduates, technicians and engineers: Module expertise: - LV/MV Distribution System - Electrical Network Engineering - Electrical engineering - Analog and digital electronics - Power electronics & VFD Applications, - Digital Transmission, - Software Training: Caneco BT, Etap V12.6, ISIS Proteus, Dialux, Rapsody .... As well, the supervision of students during the end-of-study internships You're welcome
Oracle Certified Tutor/Trainer For Java, Python and Web with 300+ Reviews
- B.tech and M.tech in Computer Science - Worked as a Software engineer in Virtusa Corp & DIGIDEZ - More than 6 years of teaching experience - Oracle Certified Developer - Helped students placed in FAANG Featured Review : Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!! Thanks Aniket
Automation Signal Processing MATLAB Electronics VHDL Programming
..................................... (satisfied or refunded)........ ....... Electrical engineering expert PhD student in electrical engineering and renewable energies engineer in electrical engineering and industrial computing I offer home schooling courses to deal with the difficulties encountered by students during their schooling, These courses allow the student to get back to level and regain confidence in all scientific subjects, as well as effectively preparing him for the Baccalaureate, Preparatory Classes or various exams. ===Automatic (Servo-control and automatism regulation (discrete, continuous)======== ===Electrical engineering (electrical machines) and power electronics (inverter rectifier)======= ===Continuous and sampled signal processing================= ===VHDL programming, microcontroller and microprocessor (intel, ARM)============ ===High frequency electronics (transistor, diode, AOP, noise)============ ===Propagation of electromagnetic waves and antennas======== ===Analog and digital electronics (filters, flip-flops, sysml,Grafcet,amplifier)===== === Realization of electrical projects ===MATLAB ARDUINO Proteus ISIS === Renewable energies COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This pedagogical approach is effective since it has often led me to interesting results with my students.
Industrial computing, telecommunications, network, biomedical instrumentation Electronics: analog, digital, automatic
PhD student in engineering sciences option electrical engineering Associate Professor in Engineering Sciences SKILLS IS engineering sciences Embedded system (microcontrollers, z80 microprocessors, Motorola, ARM), Real-time system, network concept (OSI, TCP/IP), design of systems and electronic cards (analog, digital, power supply), signal processing, communication protocols ( SPI, I2C, CAN BUS, UART...), telecommunications. Technical skills : Languages: C / C ++, JAVA, VHDL / VERILOG, Python, Assembler. Professional software: MATLAB, SIS + PSIM + PSpice, QUARTUS, IDE68, Mikro C, Xilinix ISE, Labview, CoIDE. Technologies: Siemens PLC, Allen bradeley, STM32, FPGA, TIA Portal, STEP7, RSLogix Electrical engineering: Electric motors, Transformers Renewable energies: study of the solar pumping installation and the wind turbine installation. Electronics: analog, digital, power electronics, system electronics and instrumentation biomedical. Networks and telecommunications. Industrial IT and programmable logic controllers. Automatic: modeling, identification and control of systems. Mechatronics. MATLAB • Noise and vibration of asynchronous motors • Speed variator • Study and implementation of LV / MV standards • Electrical accreditation: NF C18-510 standard • NF C 15-100 electrical installations • Management of electrical energy in networks (Continuous Power Flow)
Java Development Course - Learn how to build robust and scalable applications with Java
Welcome to my online Java development course! In this course, you will learn the skills needed to build robust, reliable, and scalable software applications using the Java programming language. We'll cover the basics of Java development, including object-oriented programming concepts, Java syntax, memory management, data structures, algorithms, and design patterns. We will also cover more advanced topics such as network programming, databases, web application development with Java, application security, mobile development with Java, and much more. As an experienced software engineer, I have extensive knowledge of Java and its use in industry.
Programming courses and computer sciences for adults and kids
Become a Programming Pro with our Courses Unleash your inner programmer with our comprehensive programming courses that are designed for both adults and kids! Our experienced teachers will help you discover and learn the basics and master the more advanced techniques of programming. Don't miss out on this amazing opportunity - sign up for a course today!
Private lessons in Maths / Computer Science by Student at the end of Engineering Studies
I am at the end of my studies at the UTC (University of Technology of Compiègne), where I study computer science and more particularly Artificial Intelligence and Data Sciences. Therefore, I am strongly inclined to give courses in computer science, in a wide variety of fields (C/C++/Java/Python programming, databases, algorithms etc.) as well as in mathematics and statistics.
Metaverse, AR and VR for kids, create your digital experience
Virtual reality is going to be used widely in the years to come. In training, remote working, socializing, discovering. It is not meant to replace reality, but offer experiences in a safe and easy environment to spark curiosity. In this class I'll teach children need what is and how to use Virtual reality, Augmented Reality and discover the potential these technologies have to offer.
Computer science, programming and design courses
Course Support & Accompaniment IT Curriculum ALL SUBJECTS and ALL PROJECTS
I am a teacher in a large engineering school with 12 years of experience in the field of engineering training. I propose a solution to guarantee your child success without diversifying teaching methods: a single teacher with extensive experience and references in the field, to accompany your child throughout his computer course, to all the subjects and all the activities of the course. These courses can be used to: - Master the concepts studied in class. - Prepare for the various exams. -Clarify notions and deepen certain concepts and aspects. - Accompany to succeed the requested projects. These courses allow you to master the concepts studied while working on methodology and writing. The recommended preparation is personalized according to the need formulated by the student. Organization of the sessions: - A first positioning session is envisaged. -A personalized schedule will be established according to the objective and the level of the student. -A descriptive card will be provided to the student after the 1st session. -A progress report will be delivered periodically.
Introduction to Python Programming (algorithms, structures, abstractions)
<Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
Programming Class (Node.js, React, React Native, Java, Kotlin, Python)
mathematics sup - BCPST 1st or second year, scientific licenses (biology, psychology...)
I offer math / computer help (python coding) for students in higher education. I followed 2 years of BCPST and have a good mastery and understanding of the program in BCPST (equivalent to the validation of a License 2 in maths). I am also gifted in computer science (python language coding), which is important in the BCPST. I can provide help for the work (DM, projects), a re-explanation of the courses (specify which ones before the course so that I can prepare myself), additional exercises.
professional computer developer training
lessons in coding / programming with python language
Python is the most widely used open source programming language for computer scientists. This language has propelled itself to the forefront of infrastructure management, data analysis and software development. Indeed, among its qualities, Python allows developers to focus on what they do rather than how they do it. It has freed developers from the constraints of form that occupied their time with older languages. Thus, developing code with Python is faster than with other languages. I'm a software engineer who likes to share what I do. I benefit by teaching and motivating people. I am used to working with people of different ages. I believe in segmentation, progress visualization, objective results and practice. the training program: Python #1: Introduction & coding first program Python #2: Variables & Operations Python #3: Conditions & Loops Python #4: Functions & Modularity Python #5: Introduction to object programming Python #6: classes & attributes Python #7: encapsulation & inheritance properties Python #8: Strings & Lists & Tuples & Dictionaries Python #9: Files