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Mathematics, Further Mathematics & Computer Science KS2, KS3, KS4

Hi, I'm Eman and I just finished studying A-Level Maths, Further Maths, Computer Science and AEA Mathematics from City and Islington College and I will be studying MEng Mathematical Computation at UCL from September 2021. Ever since first being taught maths and sciences I have had a passion for them and love learning more and being able to understand interesting topics.

I achieved 14 A* grades at SSC ( Bangladesh's Secondary Completion Qualification, Homologous to GCSE), 9 in GCSE Mathematics, 7 in GCSE English Language, and D*D* in BTEC L2 Computing (Equivalent with 4A* in GCSE) therefore know what is required of students to succeed and have plenty of important revision tips that I want to pass on. I also studied the new A-level curriculum so have up-to-date subject knowledge.

Often the maths and computer science feature concepts that are daunting and challenging to understand at first, but through considered and targeted explanations, repetition of crucial ideas (particularly by linking ideas across subjects, one of my favorite revision techniques at GCSE), and consolidation of ideas using past exam questions it is possible to gain a deep understanding that will serve you well through final year exams and beyond.

Learning is a unique process and everybody has different ways of learning best, therefore I will aim to adapt tutorials to meet the needs of a particular student. I will always ensure that prior to the tutorial I know what topics the student wishes to cover so that I can prepare materials (e.g. source appropriate past exam questions) and consult the relevant exam board specification so that we cover everything they need to know - there will be no nasty surprises in the exam.

A typical tutorial would have the following structure:

A starter activity to recap what we covered in the previous week, helping the student to revise as we go along.

An explanation of the key ideas we are covering, and a check of how much the student already knows.

Then comes real learning! The majority of the lesson will be devoted to covering the necessary content at a pace and level appropriate to the student. Usually, I will verbally explain the topic in an informal conversation with the student before writing notes onto the board for them to copy down (that way they have something to refer back to later).

Past exam paper questions as practice.

And lastly, if appropriate, how these ideas link to other things they may have covered or are yet to cover.

But most importantly, I aim to create a relaxed and fun environment for learning where the student can feel confident in their own abilities and will enjoy the learning process!

Location

At student's location: Around Bethnal Green, United Kingdom
Online via webcam

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General info

Skills:
Age:
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:English

About Me

Hi, I'm Eman and I just finished studying A-Level Maths, Further Maths, Computer Science and AEA Mathematics from City and Islington College and I will be studying MEng Mathematical Computation at UCL from September 2021.

Education

A-Level Maths, Further Maths and Computer Science, City and Islington Sixth FormCollege, Predicted A*A*A*

GCSE Mathematics (9), GCSE English Language (7), City and Islington College

BTEC Level 2 Extended Certificate in Computing and Creative Technology (D*D*), Barnfield College Luton

Secondary School Certificate (14 A*), Noakhali Zilla School, Bangladesh

Experience / Qualifications

Summer Research Intern|In2Science UK:
Worked with an Imperial College research team on the project where AI was used to predict anti-cancer hyper food. We used geometric deep learning where we analyzed a model and trained it to detect whether a specific food had anti-cancer properties. Prepared and tested ‘Tensor Flow’ based machine learning models to share information and findings from research assignments.

AMSP Problem Solving Matters 2020:
Due to my commitment and active engagement in the AMSP forum, I was awarded a funded place at Problem Solving Matters 2020 hosted by Imperial College London. The program helped me to improve my logical skill by investigating problems like undergraduate-level difficulty. Even though problems I have tackled challenged my abilities and understanding, expanded my interest to study mathematics at a higher level as I have enjoyed the challenge

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Availability of a typical week

MonTueWedThuFriSatSun
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  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19  Monday at 19:00  Tuesday at 19:00  Wednesday at 19:00  Thursday at 19:00  Friday at 19:00  Saturday at 19:00  Sunday at 19:00
20  Monday at 20:00  Tuesday at 20:00  Wednesday at 20:00  Thursday at 20:00  Friday at 20:00  Saturday at 20:00  Sunday at 20:00
21  Monday at 21:00  Tuesday at 21:00  Wednesday at 21:00  Thursday at 21:00  Friday at 21:00  Saturday at 21:00  Sunday at 21:00
22  Monday at 22:00  Tuesday at 22:00  Wednesday at 22:00  Thursday at 22:00  Friday at 22:00  Saturday at 22:00  Sunday at 22:00
23              
from $32.96Online via webcam
from $38.45At student's home

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  • Instructor since June 2021
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Availability of a typical week

MonTueWedThuFriSatSun
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  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19  Monday at 19:00  Tuesday at 19:00  Wednesday at 19:00  Thursday at 19:00  Friday at 19:00  Saturday at 19:00  Sunday at 19:00
20  Monday at 20:00  Tuesday at 20:00  Wednesday at 20:00  Thursday at 20:00  Friday at 20:00  Saturday at 20:00  Sunday at 20:00
21  Monday at 21:00  Tuesday at 21:00  Wednesday at 21:00  Thursday at 21:00  Friday at 21:00  Saturday at 21:00  Sunday at 21:00
22  Monday at 22:00  Tuesday at 22:00  Wednesday at 22:00  Thursday at 22:00  Friday at 22:00  Saturday at 22:00  Sunday at 22:00
23              
from $32.96Online via webcam
from $38.45At 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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