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Programming Arduino, STM32, ARM, Intel, VHDL, Electronics, Automation, Electrical circuits and signal processing

Translated using Google Translate. Click to view original.
I am an associate professor of industrial engineering sciences and electrical engineering, passionate about electronics and industrial computing, I have carried out several projects in the field of industrial automation

ARDUINO, and the STM32 are free hardware microcontrollers. They are very useful for learning electronics and coding at the same time. They are great estimators because we can solve problems and watch the results physically.

My main goal is to stimulate creativity and curiosity. In addition to allowing my student to acquire a level of competence that allows him to solve technical problems.

== Programming Arduino, STM32, ARM, Z80, Intel, FPGA,
==Analog and digital electronics
==Electrical circuits
==VHDL
==Discrete and continuous automatic
==Control of systems (regulation and control)
==Signal processing and data acquisition
== Engineering sciences (SI , NSI )
==MATLAB , Proteus
== Realization of electrical projects
== Supervision of electrical projects

Extra information

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satisfied or refunded

Location

At student's location: Around Casablanca, Morocco
Online via webcam
At teacher's location: Paris, France
At student's location: Around Brussels, Belgium
At student's location: Around Montreal, 10, Canada
At student's location: Around Lyon, France

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General info

Skills:
Age:
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Intermediate
Advanced
Duration:
60 minutes
The class is taught in:French, English

About Me

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PhD student in engineering sciences and electrical engineering
Professor of engineering sciences, electrical engineering option

 Electrical engineering: Electric motors, Transformers
 Automatic (continuous, discrete)
 Signal processing and data acquisition
 Digital and Computer Science (NSI)
 Engineering Sciences
 Renewable energies: study of the pumping installation
solar and wind power plant.
 Electronics: analog, digital, power electronics (Inverter, Rectifier), system electronics and biomedical instrumentation.
 Networks (TCP/IP) and telecommunications.
 Industrial computing and PLC programmable logic controllers.
 Automatic: modeling, identification and control of systems.
 Mechatronics.
 microprocessor and microcontroller ARM, Intel
 FPGAs, VHDLs
 UML modeling, SysML, Functional analysis
 Digital Sciences and Technology
 MATLAB, Proteus
 Realization of electrical projects
 Supervision of graduation projects
• Noise and vibration of asynchronous motors
• Electronic 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)

Education

Translated using Google Translate. Click to view original.
PhD student in engineering sciences and electrical engineering
Professor of industrial engineering sciences
Master of Science and Technology in Electrical Engineering
Electronics and industrial computing license
Professional license: education teaching professions science and technology sector

Experience / Qualifications

Translated using Google Translate. Click to view original.
Five years as a professor of electrical engineering sciences
approved in the fields of education education science and technology sector
Trainer for Engineers and Freelancer

Reviews (7)

Très bon professeur d'électronique analogique. Ne se contente pas simplement de donner les formules mais développe les solutions pour s'en sortir même en cas de changement de montage électronique. Très disponibles et claire dans ces explications, je conseille les cours avec Youssef.
Parfait professeur compétant
Très bon enseignant, un peu rapide dans ses explications mais se réadapte facilement. Merci Youssef!
Excellent professeur est très clair méthodique et patient
Professeur compétant qui connaît et enseigne très bien l’électronique et les math. Il arrive très bien à susciter l’intérêt pour ces disciplines qu’il maîtrise parfaitement. Il est ponctuel (respect des horaires de cours) et à l’écoute.
...
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)
Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Electrical engineering support course Mcgill university ECSE 325 Digital Systems ECSE 331 Electronics ECSE 222 Digital Logic University of Bordeaux Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. 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 educational approach is effective since it has often led me to interesting results with my students. UCLouvain, Catholic University of Louvain ULB, Free University of Brussels ULiège, University of Liège (Liège, Gembloux, Arlon) UMons, University of Mons (Mons, Charleroi) UNamur, University of Namur (Namur) USL-B, Saint-Louis University - Brussels (Brussels) McGill University School of Higher Technology – University of Quebec Concordia University Polytechnic School of Montreal HEC Montréal Montreal university University of Quebec in Montreal – UQAM University of Basel, University of Friborg Federal Institute of Technology in Lausanne, Bern University, University of Neuchâtel Bern University of Applied Sciences University of Lucerne, University of St. Gallen University of Applied Sciences Eastern Switzerland University of Geneva, University of Lugano Swiss Federal Institute of Technology Zurich, University of Lausanne
Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. 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 educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering
Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. 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 educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering

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Availability of a typical week

(GMT -04:00) New York
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1          Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2          Friday at 2:00  Saturday at 2:00  Sunday at 2:00
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7      Wednesday at 7:00    Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8      Wednesday at 8:00    Friday at 8:00  Saturday at 8:00  Sunday at 8:00
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10      Wednesday at 10:00    Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
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from 29€At teacher's location
from 29€Online via webcam
from 29€At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since November 2017
  • 6 repeat students
  • Phone number verified
  • Google connected

Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0              
1          Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2          Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3          Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4          Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5          Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6          Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7      Wednesday at 7:00    Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8      Wednesday at 8:00    Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9      Wednesday at 9:00    Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10      Wednesday at 10:00    Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18              
19              
20              
21              
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23              
from 29€At teacher's location
from 29€Online via webcam
from 29€At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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