Academic support in scientific subjects for all levels - Casablanca - Private lessons

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Academic support in scientific subjects for all levels

From 18.57 £ /h

I am a 5th year engineering student at Bouskoura. I joined my School after having done two years of preparatory classes. I am a well organized and serious person. I offer private lessons, in mathematics, physics or other subjects according to the needs of your children.
These private lessons aim to fill any gaps and improve the educational level. So I get involved in adapting the courses according to the needs of the student to facilitate his progression towards excellence.

Location

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At student's location :

Around Casablanca, Morocco

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

90 minutes

120 minutes

The class is taught in

French

Arabic

English

Skills

Availability of a typical week

(GMT -05:00)

New York

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Mathematics teacher with extensive experience in academic support. I offer tutoring of Mathematics and tailor-made training tailored to the profile of each student regardless of these difficulties.
I have a perfect knowledge of programs that allow me to better target the needs of each student. 😊😄

My creed: it's useless to learn if we do not understand. The "by heart" is not effective, and a "formula" does not hold if one does not know the "why" nor the "how to find it".

My methodology: focused on reasoning, visual, understanding, and exercises, exercises, exercises ...

Everyone does math without knowing it. For example, to answer an absurdity "and I am the pope!" Is to make mathematical logic! The whole thing is to formalize this correctly

I give courses in mathematics for the following levels (Common Core Science-First Science Math-Second Science Math).

I am available to give GRE courses on Casablanca and Rabat.

Each class will include a lesson and an exercise part.
There will be exercises to be done before the course in order to advance more effectively.

If you are a beginner, it takes about 3 months of preparation.

Over the course of a month, we offer you, ladies and gentlemen, private lessons to accompany the preparation period for the national exam/remedial session in the subjects of mathematics, physics, life sciences and earth sciences... Whatever the student's level, thanks to the intensive lessons, he can develop his level in a short period... For more information, contact us on the numbers attached to the advertisement... ...

I give lessons in mathematics, physics and chemistry, for all levels.
A session with me takes place by alternating course notions, and application exercises for a good assimilation of the course, and subsequently, in-depth exercises to master the course, which allows the student to understand his course, and become independent in solving Maths or physics problems.
I adapt my approaches and my courses to the student level to allow him a better assimilation of the lessons, and a mastery of knowledge, followed by the preparation sessions for the tests through mock tests.

The courses will be offered according to:
- the initial level of the client
-the objective for which the client wishes to learn the courses, the materials will be prepared on the basis of this and with a participatory approach before the start
- the pace with which you want to learn them.

Hello, graduate of a major engineering school in civil aviation, I devote myself to my passion in my free time.
I teach Maths (College + High School), physics chemistry (College + Second) and English.
Preparation Specific to DNB.
Guaranteed results to fill in the few points you are missing!
See you soon

Machine Learning is one of the most sought-after skills in the modern world of AI applications, with hiring in this field growing at a staggering 74% annually for the last four years. This program is designed to equip you with the skills and experience needed to pursue a successful career in Machine Learning, and explore the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. You'll also delve into special topics to complement your learning.

The program comprises of 6 courses that offer a solid theoretical understanding and ample opportunities to practice the main algorithms, uses, and best practices associated with Machine Learning. You'll code your own projects using the most relevant open-source frameworks and libraries, and apply what you learn in various courses to a final project.

Whether you're already familiar with Python programming, statistics, and linear algebra, or just have a general interest in data analysis and self-learning, this intermediate series is suitable for you. We start with the basics, offer a solid theoretical foundation, code-along labs and demos, and build up to more advanced topics, making it an exciting and rewarding learning experience.

My teaching methodology is learner-centered, with an adaptive and interactive approach. I start by assessing the level and specific needs of each student to personalize the course content. I use real-world examples and practical applications to make complex concepts more accessible. Additionally, I foster a positive and encouraging learning atmosphere, where questions are always welcome and curiosity is stimulated. I strongly believe in learning by doing, so I regularly incorporate practical exercises and real-life case studies to reinforce understanding. My goal is to not only help students succeed academically, but also to develop critical thinking and problem-solving skills.

The course focuses on the study of functions, emphasizing several key concepts.

Study of Functions: This course explores mathematical functions in depth, including their behavior, properties, and applications.

Continuity: Continuity of functions is examined, including continuity conditions, discontinuities, and techniques for analyzing continuity.

Derivation: The derivation of functions is an important component, including the rules of differentiation, applications of the derivative for analyzing the behavior of functions, and the geometric implications of derivatives.

Graphical reading: The graphical interpretation of functions is studied, with emphasis on reading and analyzing graphs to understand the behavior of functions.

Optimization: Optimization of functions is discussed, involving the maximization or minimization of functions to achieve specific objectives, often using the concepts of derivation.

Geometry: Geometric concepts are integrated into the study of functions, including the notions of tangents, curvatures, and other geometric aspects of functions.

Area and Volume: Applications of functions in relation to solid geometry are explored, including calculating areas and volumes of geometric shapes using integrals.

This course aims to provide an in-depth understanding of mathematical functions and their use in various contexts, including modeling natural phenomena, economic analysis, and solving optimization problems.

Mathematics teacher with extensive experience in academic support. I offer tutoring of Mathematics and tailor-made training tailored to the profile of each student regardless of these difficulties.
I have a perfect knowledge of programs that allow me to better target the needs of each student. 😊😄

My creed: it's useless to learn if we do not understand. The "by heart" is not effective, and a "formula" does not hold if one does not know the "why" nor the "how to find it".

My methodology: focused on reasoning, visual, understanding, and exercises, exercises, exercises ...

Everyone does math without knowing it. For example, to answer an absurdity "and I am the pope!" Is to make mathematical logic! The whole thing is to formalize this correctly

I give courses in mathematics for the following levels (Common Core Science-First Science Math-Second Science Math).

I am available to give GRE courses on Casablanca and Rabat.

Each class will include a lesson and an exercise part.
There will be exercises to be done before the course in order to advance more effectively.

If you are a beginner, it takes about 3 months of preparation.

Over the course of a month, we offer you, ladies and gentlemen, private lessons to accompany the preparation period for the national exam/remedial session in the subjects of mathematics, physics, life sciences and earth sciences... Whatever the student's level, thanks to the intensive lessons, he can develop his level in a short period... For more information, contact us on the numbers attached to the advertisement... ...

I give lessons in mathematics, physics and chemistry, for all levels.
A session with me takes place by alternating course notions, and application exercises for a good assimilation of the course, and subsequently, in-depth exercises to master the course, which allows the student to understand his course, and become independent in solving Maths or physics problems.
I adapt my approaches and my courses to the student level to allow him a better assimilation of the lessons, and a mastery of knowledge, followed by the preparation sessions for the tests through mock tests.

The courses will be offered according to:
- the initial level of the client
-the objective for which the client wishes to learn the courses, the materials will be prepared on the basis of this and with a participatory approach before the start
- the pace with which you want to learn them.

Hello, graduate of a major engineering school in civil aviation, I devote myself to my passion in my free time.
I teach Maths (College + High School), physics chemistry (College + Second) and English.
Preparation Specific to DNB.
Guaranteed results to fill in the few points you are missing!
See you soon

Machine Learning is one of the most sought-after skills in the modern world of AI applications, with hiring in this field growing at a staggering 74% annually for the last four years. This program is designed to equip you with the skills and experience needed to pursue a successful career in Machine Learning, and explore the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. You'll also delve into special topics to complement your learning.

The program comprises of 6 courses that offer a solid theoretical understanding and ample opportunities to practice the main algorithms, uses, and best practices associated with Machine Learning. You'll code your own projects using the most relevant open-source frameworks and libraries, and apply what you learn in various courses to a final project.

Whether you're already familiar with Python programming, statistics, and linear algebra, or just have a general interest in data analysis and self-learning, this intermediate series is suitable for you. We start with the basics, offer a solid theoretical foundation, code-along labs and demos, and build up to more advanced topics, making it an exciting and rewarding learning experience.

My teaching methodology is learner-centered, with an adaptive and interactive approach. I start by assessing the level and specific needs of each student to personalize the course content. I use real-world examples and practical applications to make complex concepts more accessible. Additionally, I foster a positive and encouraging learning atmosphere, where questions are always welcome and curiosity is stimulated. I strongly believe in learning by doing, so I regularly incorporate practical exercises and real-life case studies to reinforce understanding. My goal is to not only help students succeed academically, but also to develop critical thinking and problem-solving skills.

The course focuses on the study of functions, emphasizing several key concepts.

Study of Functions: This course explores mathematical functions in depth, including their behavior, properties, and applications.

Continuity: Continuity of functions is examined, including continuity conditions, discontinuities, and techniques for analyzing continuity.

Derivation: The derivation of functions is an important component, including the rules of differentiation, applications of the derivative for analyzing the behavior of functions, and the geometric implications of derivatives.

Graphical reading: The graphical interpretation of functions is studied, with emphasis on reading and analyzing graphs to understand the behavior of functions.

Optimization: Optimization of functions is discussed, involving the maximization or minimization of functions to achieve specific objectives, often using the concepts of derivation.

Geometry: Geometric concepts are integrated into the study of functions, including the notions of tangents, curvatures, and other geometric aspects of functions.

Area and Volume: Applications of functions in relation to solid geometry are explored, including calculating areas and volumes of geometric shapes using integrals.

This course aims to provide an in-depth understanding of mathematical functions and their use in various contexts, including modeling natural phenomena, economic analysis, and solving optimization problems.

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