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Mathematics and physics courses by a doctoral engineer
From 86.65 C$ /h
This mathematics course, designed for high school seniors and first-year university students, aims to lay a solid foundation in applied mathematics for engineering sciences. Supervised by a doctoral engineer, it covers essential concepts in a clear and progressive manner: functions, derivatives, integrals, matrices, differential equations, and vectors in space.
The goal is to connect mathematics to real-life situations in physics, electricity, or programming, to demonstrate its usefulness in analyzing and modeling technical systems. Digital tools (such as Matlab Simulink) are introduced to illustrate concepts and strengthen understanding through experimentation. This course thus helps develop rigor, method, and autonomy, while effectively preparing students for higher scientific studies.
The goal is to connect mathematics to real-life situations in physics, electricity, or programming, to demonstrate its usefulness in analyzing and modeling technical systems. Digital tools (such as Matlab Simulink) are introduced to illustrate concepts and strengthen understanding through experimentation. This course thus helps develop rigor, method, and autonomy, while effectively preparing students for higher scientific studies.
Location
At student's location :
- Around Évry, France
Online from France
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
French
English
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This course is taught by a PhD engineer specializing in electrical and dynamic systems. It is intended for anyone wishing to acquire a solid and versatile foundation in the fundamental disciplines of engineering science. You will explore essential concepts in applied mathematics, physics, electricity, and electronics, while developing concrete programming skills (MATLAB/Simulink).
The teaching approach combines scientific rigor with practical applications: algorithm synthesis, differential equation solving, circuit simulation, and mathematics. The goal is to make you autonomous in solving technical problems while cultivating a deep understanding of theoretical and numerical tools.
The teaching approach combines scientific rigor with practical applications: algorithm synthesis, differential equation solving, circuit simulation, and mathematics. The goal is to make you autonomous in solving technical problems while cultivating a deep understanding of theoretical and numerical tools.
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