Numerical Analysis: Numerical Methods and Scientific Computing (with Matlab)

From 35 $ /h

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.

Location

Online from France

Age

Adults (18-64 years old)

Student level

Beginner

Intermediate

Advanced

Duration

120 minutes

The class is taught in

English

French

Skills

Numerical analysis

Engineering

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

Matías

4.88

(85)

Do you aspire to master mathematics, physics and engineering at a university level? Do you want to exceed your limits and excel in these demanding fields? Do not search anymore ! Our tailor-made private lessons are there for you.

Why choose our courses?

Unparalleled Expertise: Our professors are experts in their field, with extensive experience in university teaching. They are ready to guide you towards success.

Personalized Program: We tailor each course to your specific needs, from understanding fundamental concepts to solving complex problems.

Total Flexibility: Choose the schedule that suits you best. Whether you are an active student or a professional, we adapt to your schedule.

Constant Support: You will benefit from continuous monitoring between classes to answer all your questions and concerns.

Quality Teaching Materials: We provide high-quality learning resources to support your progress.

Who can benefit from our courses?

High school students preparing for their baccalaureate or entrance exams to engineering schools.

University students pursuing a degree in mathematics, physics or engineering.

Professionals looking to acquire or deepen technical skills.

Join us today!

Excellence doesn't wait. Contact us now to book your first lesson. Together we will build a bright future based on a solid understanding of mathematics, physics and engineering.

Anh

4.88

(85)

In these tailored Engineering sessions, I combine tutoring with mentoring to guide your technical understanding and foster your growth in key engineering concepts. My approach adapts to your natural learning style, ensuring that each lesson is intuitive, engaging, and effective.

With over 10 years of experience in Aerospace, Mechanical, and Electrical engineering, I bring a wealth of both academic and real-world expertise to our sessions. I’ll share insights from the Aerospace, Maritime, and Aviation industries to help you develop practical skills and problem-solving techniques, tailored to your needs.

Whether you're studying:
• Aerospace Engineering
• Aeronautical Engineering
• Mechanical Engineering
• Electrical Engineering
• other types of Engineering

Or need help with areas like control systems or data analysis, I’m here to guide you through any engineering challenge. My lessons are customized to fit your learning style and academic goals, ensuring you leave each session feeling confident and prepared.

Contact me now for availability, and let's schedule your first session soon. I look forward to working with you!
__________________________________________________________________________________

I'm actively supporting students from top universities worldwide, including:

UK:
• Imperial College London (+ Business School) (ICL)
• University College London (UCL)
• King’s College London (KCL)

The Netherlands:
• Delft University of Technology (TUDelft)
• University of Amsterdam (UvA)
• University of Groningen (RUG)

Switzerland:
• ETH Zurich - Swiss Federal Institute of Technology

Australia:
• Queensland University of Technology (QUT)
• University of Queensland (UQ)
• Griffith University
__________________________________________________________________________________

My name is Anh, and I was born and raised in the U.K. With over 10 years of international experience tutoring Maths, Sciences, and Engineering from Middle School to University Level, I’ve supported over 80 students worldwide in unlocking their full potential.

I have a fun, ambitious, and outgoing personality, and I’m passionate about music, cooking, and trying new things. In my tutoring and mentoring, I am patient, adaptable, and committed to meeting the unique needs of each student.

I work as an Engineering Specialist/Consultant, holding:
• Master’s degree in Aeronautical Engineering from Imperial College London,
• AAA* A-Level in Further Maths and Physics,

Having been mentored and tutored myself, I understand the challenges students face. Through my own experiences of overcoming obstacles and achieving success, I’m passionate about helping others do the same. Let’s work together to ensure you reach your full potential, both academically and personally!

Abdeer

4.88

(85)

Are you in preparatory classes (CPGE) and want to excel in Engineering Sciences? I offer personalized courses to support you in key subjects, with a pedagogy adapted to your academic needs and your objectives.

Modules taught:
🔧 Strength of Materials (RDM): Analysis of stresses, deformations and dimensioning of structures.
⚙️ Elasticity: Study of elastic solids and resolution of stress and deformation problems.
🌊 Fluid and solid mechanics: Fundamental concepts and applications in the field of fluid structures and systems.
💻 Industrial computing: Programming, automation and simulation of industrial systems.

Highlights of my courses:
✔️ Methodical and structured approach adapted to the CPGE program.
✔️ Typical exercises and solving complex problems.
✔️ Specific preparation for competitive examinations for major engineering schools.
✔️ Clear and detailed teaching materials provided in each session.

For who ?
🎓 Students in scientific preparatory classes (CPGE).
🏫 Students and professionals looking to strengthen their knowledge in SII.

Course organization:

Format: Individually or in small groups.
Modalities: Online or in person depending on your preferences.
Flexibility: Classes tailored to your schedule.

Jeremy

4.88

(85)

Passionate & empathetic teacher. I have a Master's in Physics with honors from the University of Leicester (which was featured at the time as a top 5 Physics university in the UK by The Guardian) and a - french - European School diploma in which I achieved 90% in Physics and 85% in Maths.

Helping others understand difficult topics and skills is something that I am very passionate about as an empathetic person. I have 5 years of experience teaching Physics and Maths to kids from unprivileged backgrounds both in a homework schools as well as via private teaching.

In my classes, I aim to:

- help students achieve better grades in exams/tests in all branches of Physics & Maths
- clearly explain and break down topics
- give context and or example applications of topics (to improve understanding and memorization)
- help with ADHD & other learning disabilities
- give practical advice for university applications (eg. UCAS in the UK) and discuss the exciting Physics research/work and projects you can work on later in life.

Physics has a plethora of useful and fascinating applications, from the detection of Gravitational Waves and Gamma-Ray Bursts to the development of novel Medical Imaging techniques and Nano-technology (eg: smartphones). It is a subject that I am very passionate about and I hope to make use of my years of experience and extensive knowledge to help you understand and love the subject! My lessons will always be tailored to the individual needs of the student, so please do not hesitate to contact me if you have questions!

Adam

4.88

(85)

===================Satisfied or refunded=======================
Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer courses in engineering sciences (Electronics, automatics, electrical engineering, automation, programming).
Computational Sciences and Technology SNT
IS engineering sciences
Numerical and computer science SNI
Digital electronics
Analog electronic
electromagnetism
Signal processing and data acquisition
Automatic (discrete, continuous)
electrical engineering (transformers, electrical machines, switching power supply)
C/C++ Programming, Assembler, ARM, STM32
renewable energy (wind, PV-solar)
RDM - strength of materials mechanics of solids
Python and SYSML
PIC microcontroller
Microprocessor
MATLAB, proteus
Preparation for competitions
Supervision of graduation projects
CAPLP Electrotechnical and Electronic Electrical Engineering
CAPLP and BTS subjects and answers
Correction caplp 2017 CAPLP 2018 CAPLP 2019 CAPLP 2020
CORRECTION OF BTS TESTS

Christoph

4.88

(85)

Are you looking for help with statistics or data analysis?
To prepare for an exam, accomplish a coursework, a bachelor's, master's or doctoral thesis?

I have a PhD title in physics and have been teaching statistics for 10 years. I have already helped more than 150 students succeed.

I make the lecture material more understandable using concrete examples. I correct papers, explain the best methods to solve tasks or put up my own exercices to achieve the necessary level.

I help in interpreting the output of common statistical programs (R/RStudio, Jamovi, Jasp) or in carrying out entire analyses.

I am an affable character and am completely committed to one goal: the success of the student.

Ayoub

4.88

(85)

This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed.

1. Mechanics:
Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

4. Industrial sciences:
Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

.

Marcos

4.88

(85)

Beat the 15% TU Delft Acceptance Rate! Over the past 2 years, more than half of my students have successfully passed the selection process. To kick things off, I’m offering a 2-for-1 first class: we’ll build your personalized study strategy and complete your first full lesson in a 2 hour sessions for the price of 1!

TU Delft is Europe's most prestigious university for aerospace studies, preparing some of the best engineers. However the selection procedure is tough and demanding, and only those prepared have a chance to succeed.

As a TU Delft student, I know from first hand how stressfull this process is, and can therefore help you succeed in the preparation of these exams.

Moreover, I have an extensive knowledge on the subjects tested on these exams, having taken them myself, completed the courses at university with excellent grades and teaching over 15 students for the entrance exam. The reviews left by the students show how satisfied they are with the classes!

Throughout the class, I will use a presentation to explain the main concepts of each exam (Maths, Physics and Aerospace Engineering), focusing on those subjects the student is struggling with most. After this, I will help the student complete some practice excercises, and then assign extra practice to complete on their own time. These exercises will then be reviewed in the following class to ensure the topics have been understood. Near the exam, I will provide you with more than 1000 exam-type questions for you to get toned-up right before the real test!

I am looking forward to help you in your journey as an aerospace engineer!

Kevin

4.88

(85)

► 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.

Abdelrahman

4.88

(85)

We explain the information in several different ways, far removed from the usual methods.
Giving real-world examples of what is being taught
Ongoing practical follow-up with varying levels of questions
Psychological preparation for exams
Systematic linking of educational lessons
Providing visual content and real-life examples

Abdelmalek

4.88

(85)

Master Industrial Control Systems (SCADA, DCS, IIoT) and automation through tailored, hands-on coaching based on real-world industrial projects! With over 10 years of international engineering, solution architecture, and technical business development experience working with major industry vendors

I offer practical courses designed for engineering students, university undergraduates, and professionals looking to upskill.

The pathway will be in 7 days to cover all basics in OT environnement :
Day 1 - Virtual Environment Preparation for OT projects
- Install Hypervisor on your workstation (A virtual machine).
- Create a Linux VM (Fedora Server).
- Configure 2 networks on the VM: one in NAT (internet access) and one in Host-Only Network (to isolate lab traffic).
- Install basic tools for OT
Day 2: Modbus PLC Simulation (Add 2 Server and test script client to connect)
- Implement Modbus PLC simulators and architecture overview
- Create PLC simulator scripts in src/plc-simulators/
- Add validation test script for Modbus connectivity
- Update Day 2 guide with detailed implementation steps and compatibility notes
Day 3: NGINX Load Balancer Configuration (Round Robin)
- Understand NGINX Stream Module
- Configure NGINX
- Verify and Load the Module
- Troubleshooting NGINX (Activate load balancing in layer 4 protocol, Set permission)
- Step-by-Step Load Balancer Validation
- Test Load Balancing (Round-Robin)
- Test Failover (Resilience)
Day 4 - Creation of the traffic generator (SCADA Client)
- TBD
Day 5 - Traffic capture and measurement with TShark
TBD
Day 6 - Advanced analysis and overload simulation
TBD
Day 7 - Grafana
-TBD
What we can cover together based on your goals:

Bouchouata

4.88

(85)

I am a mathematics teacher with university teaching experience. Holding a Master's degree and a State Engineering diploma, I support pupils and students in their mathematics learning with a clear, progressive method adapted to their level.
I propose private lessons for:
Middle School
High school
University students (Bachelor's degree)
I can help you in the following areas:
Algebra
Analysis
Differential and integral calculus
Differential equations
Statistics
Probabilities
Exam preparation and resits
My goal is to help you understand essential concepts, improve your study methods, and gain confidence. Each session is tailored to the student's needs, with clear explanations, progressive exercises, and detailed feedback.
Courses can be taught in French or English, online or in person depending on availability.

4.88

(85)

Learn first-order and second-order differential equations, Laplace transforms, and engineering applications with practical examples. Differential Equations Comprehensive mathematics course for engineering students covering Calculus, Linear Algebra, Differential Equations, Numerical Methods, and Vector Calculus.

Yacine

4.88

(85)

As a student at Arts et Métiers in Metz (formerly CPGE PSI in Paris), I offer personalized support to help you overcome your difficulties or improve your skills. Having experience helping my peers, I can identify what's holding you back.
My method is based on listening, dialogue, and learning effective study methods (for science subjects or English immersion). Patient and persistent, my goal is to guide you step by step until that crucial "aha" moment that unlocks your full potential!

Jude

4.88

(85)

My lessons are designed to take you from simply following code to genuinely understanding how data science works.

We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.

Depending on your goals, lessons can include:

Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects

I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.

Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.

You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.