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Depuis janvier 2020
Professeur depuis janvier 2020
Mathematics, Physics, and Environmental Science Tutoring (English)
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Àpd 43.18 C$ /h
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I specialize in tutoring mathematics, physics, and environmental science in English for teenagers, adults, and seniors. I can help you with:

- exam preparation (e.g. GCSEs, IB, A-level, introductory undergraduate courses)
- difficult problem sheets, exercises, or lab work
- improving your confidence in math, physics, and environmental science
- other technical skills, like programming!

Depending on the student's wishes, we can arrange structured tutoring with regular assignments and progress reports, or I can provide a more flexible structure, helping with whatever is needed on the particular week.

My core approach is to build a student's confidence with regular exercises, and gradually working towards tougher exercises in a relaxed and motivated environment.

A little bit more about me:

- I hold a PhD in meteorology, a Master's in meteorology, a Master's in materials science, and a bachelor's degree in physics.
- I've tutored a wide range of students, from high-school students to Master's students.
- I've lived in many countries around the world, and have an international background.
Lieu
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Cours au domicile de l'élève :
  • Autour de Vitry-sur-Seine, France
Présentation
Do you wish math and physics was more fun?

Mathematics and physics are notoriously difficult subjects. When I was a young teenager, I often found myself staring blankly at my take-home assignments, wondering how to solve problems! But after many years of self-motivation and passion, I went on to be a top-performing physics student at university, followed by two Master's degrees and a PhD.

My approach is to bolster a student's confidence and to demonstrate that solving maths and physics problems is actually a fun and rewarding process.

I've tutored students in high-school mathematics in the past, and have supervised Master's level students at university. I'm passionate about helping all kinds of students, from any background, in their journey towards succeeding at maths and physics.
Education
PhD in Meteorology (Freie Universität Berlin)
MSc in Meteorology (University of Reading)
MSc in Theory & Simulation of Materials (Imperial College London)
BSc in Physics (University of Leicester)
Expérience / Qualifications
Tutoring:
- High-school level mathematics, including geometry.
- University-level environmental science/physics, including presentations and intensive assignments.
Age
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
30 minutes
45 minutes
60 minutes
Enseigné en
anglais
Disponibilité semaine type
(GMT -05:00)
New York
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Cours à domicile
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Amine
During this course you will learn:

✓ SPSS

✓ R Studio

✓jamovi/jasp/Stata/xlstat


✓ Analyze data for univariate, bivariate and multivariate statistics with SPSS

✓ Simple and multiple linear regression and Logistic regression

✓ Analyze exploratory data, basic statistics and visual displays (Frequencies, exploration function, outliers)

✓ Inferential tests on correlations, counts and means (Calculation of z-Scores in SPSS, Correlation coefficients, A measure of reliability: Cohen's Kappa, Binomial tests, Goodness of fit test, Chi-square , One-sample t-test for a mean, Two-sample t-test for means)

✓ Analysis of variance (fixed and random effects, Running ANOVA in SPSS, The F-test for ANOVA, Effect size, Contrasts and post-hoc tests, Alternative post-hoc tests and comparisons, ANOVA with random effects , factorial ANOVA with fixed effects and interactions, Simple main effects, Analysis of covariance (ANCOVA), Power for analysis of variance) and Repeated Measures ANOVA (One-way repeated measures, Repeated measures in both directions: one between and one in the postman)

✓ Principal Component Analysis (PCA Example, Pearson 1901 Data, Component Scores, Principal Component Visualization, Correlation Matrix PCA) and Exploratory Factor Analysis (The Common Factor Analysis Model, The Problem of Factor Analysis exploratory, Factor analysis of CPA data, Scree Plot, Rotation of the factor solution, Cluster analysis, How to validate clusters)

___________________________________

✓ My courses are based on exercises with the essentials of the course to remember.

✓ Working method for better understanding.

✓ Working on concrete data which allows the work to be visualized and assimilated more quickly.
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Contacter Thomas
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
Cours Similaires
arrow icon previousarrow icon next
verified badge
Amine
During this course you will learn:

✓ SPSS

✓ R Studio

✓jamovi/jasp/Stata/xlstat


✓ Analyze data for univariate, bivariate and multivariate statistics with SPSS

✓ Simple and multiple linear regression and Logistic regression

✓ Analyze exploratory data, basic statistics and visual displays (Frequencies, exploration function, outliers)

✓ Inferential tests on correlations, counts and means (Calculation of z-Scores in SPSS, Correlation coefficients, A measure of reliability: Cohen's Kappa, Binomial tests, Goodness of fit test, Chi-square , One-sample t-test for a mean, Two-sample t-test for means)

✓ Analysis of variance (fixed and random effects, Running ANOVA in SPSS, The F-test for ANOVA, Effect size, Contrasts and post-hoc tests, Alternative post-hoc tests and comparisons, ANOVA with random effects , factorial ANOVA with fixed effects and interactions, Simple main effects, Analysis of covariance (ANCOVA), Power for analysis of variance) and Repeated Measures ANOVA (One-way repeated measures, Repeated measures in both directions: one between and one in the postman)

✓ Principal Component Analysis (PCA Example, Pearson 1901 Data, Component Scores, Principal Component Visualization, Correlation Matrix PCA) and Exploratory Factor Analysis (The Common Factor Analysis Model, The Problem of Factor Analysis exploratory, Factor analysis of CPA data, Scree Plot, Rotation of the factor solution, Cluster analysis, How to validate clusters)

___________________________________

✓ My courses are based on exercises with the essentials of the course to remember.

✓ Working method for better understanding.

✓ Working on concrete data which allows the work to be visualized and assimilated more quickly.
Garantie Le-Bon-Prof
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Contacter Thomas