
from35.00EUR/ h
Signal processing engineer gives computer science and programming lessons for C and Python languages
Translated by Google. Click to view original.
Graduated in civil engineering in signal processing, I have been working for 4 years as a software engineer, in the fields of statistics, artificial intelligence and digital signal processing.This professional experience, combined with my knowledge acquired during my studies, gives me expertise in the fields of programming in Python and C, as well as in machine learning, computer vision and deep learning.
It is with pleasure that I will use these skills to help you in your courses and/or graduate or personal projects.
Location
At student's location: Around Liège, Belgium
At student's location: Around Neupré, Belgium
At student's location: Around Visé, Belgium








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General info
Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 60 minutes 90 minutes 120 minutes |
The class is taught in: | French, English |
About Me
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I am a Civil Electrical Engineer, graduated from the University of Liège in 2020. I also have an additional master's degree in Management Sciences from UCLouvain.I offer mathematics, physics and computer science courses mainly aimed at secondary and baccalaureate students.
I travel to teach at home, in the Liège region. The courses can also be given remotely, by videoconference.
The understanding of the subject seems to me essential for the success of a course. I am able to explain precisely the different principles and concepts, so that the subject is perfectly understood by the student.
Education
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- Civil Electrical Engineer at ULiège; signal processing and intelligent robotics orientation- Complementary Master in Management Sciences, UCLouvain
- Bachelor in Civil Engineer at the University; electricity and mechanics options
- CESS at Saint-Benoit Saint-Servais College; Strong Math Options, Languages, Latin
Experience / Qualifications
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For eight years, I have had the opportunity to help students improve their understanding of subjects and pass their quizzes and exams. Thanks to this experience, I am able to adapt to each student and understand how to explain the material in such a way that it is well assimilated.I am eager to offer a care adapted to the student, as well as a long-term support if it is necessary.
Reviews (3)
teacher listens and adapts very easily to his student!
recommend without hesitation!
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Very good start, easy contact and efficiency!
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We called on François for private math lessons for our 13 year old son. He is punctual, rigorous, patient, clear in his explanations and friendly. In any case, our son enjoys doing math with him, and the refresher objectives have been achieved! We recommend it!
Translated by Google. Click to view original.
I am a Civil Electrical Engineer, graduated from the University of Liège in 2020. I also have an additional master's degree in Management Sciences from UCLouvain.
I offer mathematics and physics courses mainly aimed at high school students.
I travel to teach at home, in the Liège region. The courses can also be given remotely, by videoconference.
The understanding of the subject seems to me essential for the success of a course. I am able to explain precisely the different principles and concepts, so that the subject is perfectly understood by the student.
Ask a question
Send a message explaining your needs and François will reply soon:
The more detail, the better.
Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -04:00) New York
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3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
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from 35€At student's home
100% Satisfaction Guarantee
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 March 2018
- Phone number verified
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
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0 | |||||||
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
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from 35€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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Duration :
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- 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session.
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General description
This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application.
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Educational objectives
At the end of the course, participants will be able to:
1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity.
2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs.
3. Solve problems by choosing appropriate data structures and algorithms.
4. Analyze and optimize the performance of algorithms.
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Course syllabus
1. Introduction (5-10 min)
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2. Fundamental concepts (20-30 min)
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3. Practical application and examples (30-40 min)
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4. Q&A and conclusion (5-10 min)
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Teaching methodology
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Target audience
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Benefits of this online course
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