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Daniel
- Rate ₹4,757
- Response 24h
-
Students2
Number of students accompanied by Daniel since their arrival at Superprof
Number of students accompanied by Daniel since their arrival at Superprof

₹4,757/hr
1st class free
- Maths
- Physics
- Algorithms
- Computing
Aerospace engineer and UCL graduate teaching Maths, Physics, Python and Engineering from GCSE to university level.
- Maths
- Physics
- Algorithms
- Computing
Class location
About Daniel
I am a professional aerospace engineer with approximately four years of experience working on spacecraft and launch-vehicle guidance, navigation and control systems. I hold an MSc in Space Science and Engineering with Distinction from University College London (UCL) and a BEng in Aerospace Engineering from the University of Manchester.
In industry, I have worked with mathematics, physics, Python, MATLAB, Simulink, control systems, navigation algorithms, Kalman filtering, data analysis and engineering simulation.
I teach: * Mathematics and further mathematics. * Physics. * Python programming. * MATLAB and Simulink. * Engineering mathematics. * Control systems. * Aerospace engineering and orbital mechanics. * Introductory artificial intelligence and scientific programming.
I can support students from secondary-school and GCSE level through A-level, undergraduate and postgraduate engineering. I teach in English or Spanish and adapt each lesson to the student’s age, experience and objectives. I particularly enjoy helping students understand difficult technical concepts intuitively before progressing to the formal mathematics and practical applications.
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +9
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Adult Literacy
Undergraduate
Masters
PG Diploma
PhD
MBA
- English
All languages in which the class is available :
English
My lessons are structured around understanding rather than memorisation. I begin by assessing the student’s current level, objectives and preferred way of learning. I then explain each topic intuitively, using diagrams, practical examples and simple language, before introducing the formal equations or programming syntax.
During the lesson, I encourage the student to solve problems actively. Rather than immediately providing the answer, I use carefully chosen questions, hints and intermediate steps to help the student develop independent reasoning and confidence.
Depending on the subject, lessons may include: * Guided problem solving. * Visual explanations using my iPad and digital notes. * Live Python, MATLAB or Simulink demonstrations. * Exam-style exercises. * Engineering examples from real applications. * Small programming projects. * Homework and written feedback. For younger students, I make programming and science engaging through games, challenges and practical projects. For university students and professionals, I can provide more rigorous support in modelling, control, simulation, aerospace engineering and technical interview preparation.
Each lesson is personalised. Students may bring schoolwork, exam questions, coursework concepts or a specific technical topic they would like to master. I do not complete assessed work on a student’s behalf. My role is to teach the underlying concepts and help the student produce their own work confidently.
Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
I recommend Daniel for Maths and physics class. He is very good at explaining things. He gives you examples and makes sure you understand before you keep advancing to the next topic.
View more recommendations
Rates
Rate
- ₹4,757
Pack prices
- 5h: ₹22,534
- 10h: ₹43,817
online
- ₹4,757/hr
free classes
This first free class with Daniel will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 30mins
Details
The listed rate applies to school-level online tuition. University engineering, MATLAB/Simulink, specialist aerospace subjects and professional interview coaching are quoted separately according to complexity.
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