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Discover the Best Private Numerical Analysis Classes in Lausanne

For over a decade, our private Numerical Analysis tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Lausanne, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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9 numerical analysis teachers in Lausanne

Karim

29€

60-min

/h

Numerical Analysis: Numerical Methods and Scientific Computing (with Matlab)Translate this text using Google Translate.

Numerical Analysis: Numerical Methods and Scientific Computing (with Matlab)Translate this text using Google Translate.

Are you an engineering or mathematics (Bachelor's/Master's) student who finds numerical analysis too abstract or difficult to apply? This course provides a rigorous yet practical introduction to scientific computing, showing how numerical methods are used to solve real engineering and scientific problems. You'll first learn how numerical computations behave by studying floating-point arithmetic, rounding and truncation errors, conditioning, stability, and error propagation. These concepts are essential for understanding why numerical algorithms succeed—or fail. Next, you'll learn how to solve nonlinear equations using the bisection method, fixed-point iteration, and Newton's method, before moving on to linear systems through both direct methods (Gaussian elimination, LU decomposition, Cholesky factorization) and iterative methods (Jacobi, Gauss-Seidel, and relaxation methods). The second half of the course covers polynomial interpolation and approximation (Lagrange, Newton, Hermite, least-squares approximation, and splines), numerical differentiation and integration, and numerical methods for ordinary differential equations, including Euler's method, Runge-Kutta methods, and finite difference techniques. Every algorithm is implemented step by step in Matlab so that you not only understand the mathematics behind it but also learn how to apply it to practical engineering problems. Throughout the course, we compare the accuracy, convergence, stability, and computational efficiency of the different numerical methods. This course is ideal for students preparing for university exams, engineering projects, scientific computing courses, or anyone wishing to build solid foundations in numerical analysis. Prerequisites: A good understanding of single-variable calculus, basic linear algebra, and elementary programming concepts is recommended.

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Louis

46€

60-min

/h

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Mathematics courses for gymnasium students by EPFL student - LausanneTranslate this text using Google Translate.

Mathematics courses for gymnasium students by EPFL student - LausanneTranslate this text using Google Translate.

I am a 4th year student at EPFL in Microtechnology. I come from the French system and therefore had my scientific baccalaureate with honors. Having spent a large part of my childhood in the United States, I am bilingual in English and can give lessons in the preferred language. During my 4 years at EPFL I had an average of 5.3 in Mathematics courses, and was an assistant hired by professors several times, notably during first year courses. I can therefore teach in a varied area of mathematics and can cover the entire gymnasium program. I can travel by public transport to your home or favorite meeting place, or remotely via zoom. ____________________________________ I am a 4th year EPFL student in Microengineering. Coming from the French school system, I have the French baccalaureate with a “Mention Très Bien”. Having spent a large part of my childhood in the US, I can speak English fluently and can teach in either French or English. I can therefore tutor in a wide range of mathematics, including the whole gymnasian program. During my 4 years at EPFL, I have had a 5.3 average in the mathematics fields and have been a student assistant to a few professors, including in a few first-year courses. I can travel to the preferred teaching location using public transport, or teach online via zoom.

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Kevin

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Recently active
5.0

4 reviews

(4)

46€

60-min

/h

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3Students

EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLANDTranslate this text using Google Translate.

EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLANDTranslate this text using Google Translate.

► 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.

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Our students from Lausanne evaluate their Numerical Analysis teacher.

To ensure the quality of our Numerical Analysis teachers, we ask our students from Lausanne to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 18 reviews.

Julien helped me learn the material for my university statistics exams. He was very patient and gave very clear explanations about the concepts we were discussing. He was friendly, enthusiastic and encouraging. He prepared material in advance for each lesson depending on my personal needs. I'm pleased to say he helped me succeed in my final exams despite the fact that I'd never really studied statistics before! I am very glad I chose him as my tutor and I recommend him to anyone else seeking mathematics or statistics tutoring, whether in person or remotely.

My 11 old daughter Sasha really likes to study math with Kevin, because he knows a lot of new things, that she didn't know and it's always interesting to work with him. Kevin and Sasha speak in German which is very important for us, as Sasha is preparing for the Swiss gymnasium. Our main goal to be ready for gymnasium math exam and we think that Kevin fits well for it.

My son has very good experience to study with Diksha.

To ensure the quality of our Numerical Analysis teachers, we ask our students from Lausanne to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 18 reviews.

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