Help in Maths, Physics and Computer Science, offered by holder of a thesis in Astrophysics and Cosmology

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From 23 £ /h

Holder of a doctorate in Astrophysics and Cosmology from the University of Orsay, I offer help in math, physics and computer science for students from college to master's degree.
I offer help:
- to review and redo the course if necessary
- exercises and homework
- preparing for exams
I think practice is the key to learning. This is why I emphasize the exercises, in order to illustrate the course. However, I can go back to the lesson given in class or suggest an alternative if it is misunderstood.
I can offer help in math, physics and computer science, for students from college to master 2. My lessons take place remotely, in video if the student has a computer, or by telephone and email exchange / text otherwise.

Extra information

My classes are very flexible. The format can be adapted to the student.

Location

Online from France

About Me

The scientific training that I followed: preparatory class then master's degree in fundamental physics, led me to carry out a thesis in cosmology and astrophysics. During my thesis, I was able to use many mathematical and computer tools, which complement my knowledge of physics.
My background allows me to gain perspective on the knowledge acquired throughout my studies. So I can more easily identify the difficulties of the students and propose an approach that corresponds to them. The tutoring given during my thesis reinforces my pedagogy even more.

Education

I first followed a preparatory class for the Grandes Ecoles.
Then I prepared and obtained the Magistere de Physique Fondamentale d'Orsay.
Finally, I defended my doctoral thesis in Cosmology and Astrophysics at the University of Orsay.

Experience / Qualifications

During my thesis, I had the opportunity to give tutoring courses in math, for students entering university.

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

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

French

English

Skills

Math

Computer programming

Physics

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

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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!

Ali

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I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English.

I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work.

Who this is for

Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos.

I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it.

What we cover

Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.