Digital modeling and simulation for engineers

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From 31 C$ /h

Mechanical Engineer graduated from INSA Lyon gives courses to teach students how to carry out digital modeling and simulations as part of higher engineering studies. Whether for power transmission, material resistance, vibration and acoustics, solid dynamics, structural mechanics, heat transfer and fluid mechanics, the objective is to teach student how to take charge and thus master software, such as ANSYS, ABAQUS FEA, COMSOL Multiphysics, STAR CCM+, MATLAB and ARTEMIS, which allow engineering students to carry out case studies and projects in the field of elements and finite volumes or using numerical schemes and the finite difference method.

I have sufficient experience in numerical modeling and simulation applied to various engineering cases such as:
1. Thermal analysis of CubeSat
2. Thermal study of heat-reflecting paint
3. Study of fluid mechanics in agitation and mixing
4. Fluid mechanics study of an inclined skate
5. Acoustics analysis of various sounds
6. Vibration analysis of structures
7. Analysis of bearings and their vibration due to present defects
8. Simulations of transmission errors in gears
9. Modeling contacts in gears
10. Hertz theory
11. Study of Friction and Lubrication of an air thrust bearing
12. Thermoelasticity simulation
13. Simulation in Structural Calculation
14. Simulation of static resistance of a car
15. Simulation of mechanical resistance of beams

Extra information

Each student must have their own computer and software installed on it. Classes will be taught by videoconference.

Location

Online from France

About Me

I am an INSA Lyon mechanical engineer having done a Bachelor's and a Master's degree in Advanced Numerical Modeling and Simulation. I am an engineer very passionate about learning and deepening my knowledge in numerical modeling as well as very enthusiastic about teaching them to students. I am a very optimistic and patient person in life.

Education

A Levels: Mathematics (A+), Physics (A+) and Chemistry (A+)
Grande Ecole Engineering Preparatory Classes
Bachelor's degree in Mechanical Engineering
Master's degree in Advanced Experimentation, Modeling and Simulation in Mechanical Engineering

Experience / Qualifications

Internship in the field of road construction
Internship in agitation and mixing
Internship in the thermal insulation of aerogel paints

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

120 minutes

The class is taught in

French

English

Skills

Physics

Mechanical engineering

Numerical analysis

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Raef

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With over 18 years of experience, I give private lessons in Mathematics - Analysis - Matrices - Statistics - Algebra - Geometry - Physics - Chemistry - Biology, Geology to students in French program brevet, secondary and Terminale or international program in English (Grades 8, 9, 10, 11, 12) or competitions and preparatory classes for medical or first year university either at home or via the internet online using virtual classroom methods.
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I am a Math and Physics tutor with over 10 years of experience, backed by an MIT background and training from top technical schools. My lessons are unmatched, blending charisma, passion, and innovative teaching methods to create a magical learning experience. I focus on highly personalized, one-on-one sessions, understanding each student’s unique mindset to unlock their full potential.

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Mohamed

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I am committed to supporting each student through an active and personalized teaching approach. Drawing on my academic background and teaching experience, I provide high-quality support to help students overcome difficulties and achieve academic success.

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Rania

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many people face problems while studying scientific subjects , so if you one of them and you need a small or big help , I am here to help you to face any obstacle you may have in the matter.
I am a medical student at the medecine school of tunis.
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Enrique

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Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

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Mavi

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I am Mavi, a physics engineer working at an aerospace company.
I have been teaching private lessons at the primary, secondary, high school, and university preparatory levels for 11 years. I teach mathematics, physics, chemistry, and science. I have a good command of the curricula of IB, IGCSE, American, Hong Kong, and international schools.

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Are you curious about how nature works?

Let's explore together!

Chiwila

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As a dedicated tutor with extensive experience in preparing students for standardized exams such as the SAT, GMAT, and SSAT, I understand the unique challenges that each of these tests presents. My approach is comprehensive and focuses on building a strong foundation in critical areas such as Mathematics, Quantitative Reasoning, Verbal Skills, and Analytical Writing. Each program I develop is tailored to the specific requirements of the exam, ensuring that students are well-prepared and confident on test day.

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Prashil

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Iskander

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I hold a Doctorate in Pharmacy and 2 Masters degrees from the University of Paris V René-Descartes.
Since the beginning of my higher education, and since I established myself as a freelancer after 10 years of managerial career in the pharmaceutical industry, I have been used to regularly giving private lessons to pupils and students of all levels, Primary, Secondary and Higher, supporting them until they pass their exams.
The main disciplines in which I support students are essentially scientific.
The perspectives offered are transdisciplinary.

Kevin

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► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results.

I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly.

► STATISTICS, DATA ANALYTICS & AI SUPPORT

► STATISTICS & PROBABILITY
I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas.

► APPLIED STATISTICS WITH R
I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step.

► QUANTITATIVE METHODS & RESEARCH STATISTICS
I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly.

► DATA ANALYTICS & DATA SCIENCE
I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions.

► MACHINE LEARNING & AI FOUNDATIONS
For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models.

► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES
I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks.

► HOW I TEACH

► I FOCUS ON REAL STATISTICAL UNDERSTANDING.
Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly.

► I EXPLAIN FORMULAS STEP BY STEP.
Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly.

► I CONNECT THEORY WITH R PRACTICE.
Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language.

► I HELP STUDENTS CHOOSE THE RIGHT METHOD.
Many students struggle with deciding whether to use a t-test, chi-square test, ANOVA, regression or another method. I teach students how to recognise the correct approach from the question or dataset.

► I TRAIN INTERPRETATION AND EXAM TECHNIQUE.
Students learn how to structure statistical answers, write clear conclusions, explain p-values, interpret confidence intervals and present results professionally.

► I ADAPT EVERY LESSON TO THE STUDENT.
Some students need help with theory, others with R coding, assignments, research projects or exam preparation. I adjust every lesson to the student’s exact course, level and goals.

► YEARS OF EXPERIENCE WITH STATISTICS, DATA & UNIVERSITY STUDENTS

Over the years, I have successfully supported students from demanding academic programmes, helping them strengthen their statistical understanding, improve their analytical thinking and achieve excellent progress in Statistics, Data Analytics, Machine Learning and AI.

► ONLINE LESSONS

► Interactive whiteboard
► Clear digital notes
► Step-by-step statistical explanations
► R support for data analysis
► Exam preparation
► Assignment and project guidance
► Practical examples with real datasets
► Focused one-to-one support from Switzerland

► MY GOAL

My goal is not only to help students pass exams or complete assignments, but to help them truly understand Statistics. With the right guidance, statistical methods become logical, practical and much easier to apply.

► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics
► MAIN TOOL: R
► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training
► FORMAT: Online tutoring from Switzerland
► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.

Reza

4.73

(137)

I hold a PhD in Mechanical Engineering and currently work as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology).
Key topics that I teach for this course include:
• Calculus: Differentiation & integration, Multivariable calculus
• Linear Algebra: Matrices, vectors, systems of equations, Eigenvalues and eigenvectors
• Differential Equations: First- and second-order ODEs, Laplace transforms
• Complex Numbers: Polar form, Euler’s formula
• Vector Calculus: Gradient, divergence, curl, Line and surface integrals
• Series & Transforms: Taylor series, Fourier series

I understand that not all teachers excel in teaching Engineering and Mathematics courses and explaining their importance to students. Courses with strong mathematical backgrounds may become boring for students who lack a solid mathematical basis. To address this, I take a student-centered approach, starting from the basics to actively engage all students, including those with weaker mathematical backgrounds. I also provide practical examples to demonstrate the real-world significance of what they are learning, inspiring and fostering their interest in the subject matter.

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Jeremy

4.73

(137)

Greetings!

This lesson is only for already existing students that want to mix online webcam sessions with in person lessons. If you're interested in having classes with me, please have a look at my other listed classes.

Thank you for your comprehension!

Gianrocco

4.73

(137)

Feel free to send me over your questions / material before the class, so we can have a more efficient use of our time.
you can find my LinkedIn here
https://www.linkedin.com/in/gianroccolazzari/
glad to adjust the topics according to your level

I also speak ES/PT

Alaaeldin

4.73

(137)

Learn PLAXIS 2D & 3D and Geotechnical Engineering with a PhD Researcher in France!

I am a PhD candidate in Geotechnical Engineering at the University of Lille, France, specializing in finite element modelling (FEM), soil–structure interaction, and advanced numerical simulations.

I offer personalized online lessons for civil engineering students, master's and PhD students, researchers, and practicing engineers.

What you can learn:

PLAXIS 2D & 3D
Getting started with PLAXIS and understanding the modelling workflow.
Geometry creation, soil layers, materials, and boundary conditions.
Soil constitutive models and parameter selection.
Mesh generation and staged construction.
Foundation settlement and soil–structure interaction.
Retaining walls, excavations, and underground structures.
Results interpretation and model validation.

Geotechnical Engineering

Soil Mechanics and Foundation Engineering.
Earth pressure and retaining structures.
Settlement and bearing capacity.
Soil–structure interaction.
Personalized Learning

Lessons are adapted to your experience, from beginner to advanced level. We can work through practical examples, discuss theoretical concepts, or review your own numerical models step by step.

My goal is to help you understand both the engineering principles and their practical implementation in numerical modelling software.

Lessons are available online in English, Arabic, or French.

Feel free to contact me to discuss your learning objectives and arrange a personalized lesson!