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Computer Science Private Lessons -- up to A Level --

This class is to help students studying computing or computer science at all secondary levels up to A Level. It will aim to help you understand the key concepts of how computers work and introduce the core concepts of programming. Anyone who is looking to get a head start in computer science or has ambitions of studying engineering, maths, any science based subject or computer science at university will benefit from this class.

Extra information

Bring any textbooks you have been given and a laptop if programming is being practised.

Location

Online via webcam
At student's location: Around Canary Wharf, United Kingdom

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General info

Age:
Children (7-12 years old)
Teenagers (13-17 years old)
Student level:
Beginner
Intermediate
Duration:
60 minutes
The class is taught in:English

About Me

Biography:

Fortunately the value of education was instilled in me from a very young age and I was lucky enough to receive the support needed to succeed in education. The Grammar school teaching I received allowed me to thrive and realise my abilities in the technical subjects. Developing a keen interest in science and buildings led me squarely towards Civil Engineering. Through my undergraduate study at Imperial College London I was able to hone my skills and interests (in programming, engineering design, philosophy) whilst also allowing me to appreciate the importance of effective teaching but also how it differed from average or less effective forms. It was during this time that I became more involved in tutoring, which is something that I hope to continue as I go onto my PhD. Being in an environment tailored towards research, academia and further learning I feel will provide me with even greater insight into teaching practises and effectively communicating knowledge.

Teaching Experience:

Having tutored for a number of years I have a wealth of experience tutoring a range of subjects to a broad spectrum of students. This has provided me with invaluable expertise in teaching across different modes (one-to-one, classrooms or through online portals) and in understanding the needs of specific students based on their background, previous learning experience and natural abilities. Having been exposed to a diverse range of teaching settings I am well equipped to deliver engaging and impactful lessons that rouse my students’ interest in their subjects, motivation to study and confidence in their outlook. My core subject specialities are the Maths and Sciences (including Computer Science) which exploit the technical and analytical skills I have developed through my studies. I am also capable of teaching, in a more foundational capacity, Philosophy and Economics since they are subjects I have taken a deep personal interest in over the years and enjoy engaging with.

As a result of my teaching, and studying, experience I like to think of learning as an exercise in structuring knowledge. Therefore the way I approach any new student is to gain a full appreciation of the student’s understanding of a subject and ensure that they have a good conceptual and knowledge base from which to build atop of. In this way teaching can move forward in a more effective manner as material is introduced in a way which resonates with the student’s learning style.

Online Experience:

Given the circumstances I have been adapting my teaching style to fit the online format and have found it to be an interesting exercise. It has uncovered to me new methods and strategies for providing effective learning experiences by leveraging the tools and functionality provided by technology.

An example of an instance where I was able to exploit the advantages of the online platform over in-person teaching to give impactful lessons was during a python summer camp I taught. Since it was the first time the students had worked with code I was eager to ensure that the lessons were deeply hands-on as to demystify the coding process to my students. Doing this through an online portal was advantageous since by being able to share my screen it reduced the friction which would've otherwise existed when trying to showing how to write, and explaining, code to a whole class at the same time.

Education

Secondary Education: Westcliff High School for Boys
Undergraduate Education (MEng): Imperial College London
Postgraduate Education (PhD): University College London

Experience / Qualifications

13 A*/A, GCSE Grades
A*A*Ab, A-Level Grades (Maths, Further Maths, Physics, Chemistry)
MEng, Civil Engineering (2:1)
PhD, Construction and Project Management (Ongoing)
This class is to help students studying maths or further maths at all secondary levels up to A Level. It will aim to help you understand the key mathematical concepts you need to solve the problems presented in your course. Anyone who is looking to strengthen their mathematics skills or has ambitions of studying engineering, maths, any science based subject or computer science at university will benefit from this class.
This class is to help students studying biology, physics or chemistry at all secondary levels up to A Level. It will aim to help you understand the key theories and concepts within each of these scientific discipline whilst improving your critical thinking and logical skills. Anyone who is looking to get ahead in the sciences or has ambitions of studying engineering, maths, any science based subject or computer science at university will benefit from this class.

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Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
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2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00    
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00    
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00    
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00    
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00    
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from £36Online via webcam
from £48At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since September 2020
  • Phone number verified
  • Google connected

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
1              
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00    
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00    
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00    
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00    
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00    
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from £36Online via webcam
from £48At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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