Welcome to NatMatSci-ber School!
At NatMatSci we are scientists, technologists and problem-solvers. We have always been at the forefront of virtual learning, making use of cutting-edge practices to blend live and digital lessons. We know that many parents and students worlwide are concerned that valuable learning time may have been lost due restrictions from the Covid-19 virus.
In response to these concerns we have launched NatMatSci-ber School to bridge the gaps in learning students may have experienced. Our online courses will provide a dynamic, interactive, real time learning experience. Our courses are designed and delivered by our exceptional teaching team who have a strong track record for Oxbridge Success.
We don’t believe in just signing up to a resource bank, accessing a teacher, completing a task – this is the full NatMatSci live teaching experience delivered to your home. So take a quantum leap to your academic success with NatMatSci-ber School.
Bridge the gap – University Booster Course
4 weeks (4th – 29th May 2020)
The National Mathematics and Science College leads the way in preparing students to succeed at university. If you have an offer from a UK university to study a science degree including mathematics, computing and engineering, and you are looking to develop your skills in preparation for university, this is the course for you.
- Dates 4th -29th May 2020 (4 weeks)
- For students who intend to start their degree studies this September including year 13 students whose A level/IB examinations were cancelled.
- You can select between 1 and 3 subjects from (Maths, Computer Science, Biology, Chemistry, Physics and Academic English)
- Live taught lessons 4 or 5 hours per week per subject plus individual feedback from teachers
- You will receive assignment work which you will be required to complete in your own time and which you may be required to submit. This means you should allow an extra 5 hours per week per subject for assignment work.
- Average class size 12-20
- All lessons are delivered between 08.00 and 14:00 GMT.
- All lessons will be live, interactive and in real time.
Individual teacher feedback and progress reports will be given.
- Prepare students for the style of teaching – lectures and tutorials common to UK universities
- Bridge the gap between the A-level course and chemistry-based University courses
- Practise evaluation and reflection skills through critical evaluation
- Develop data analysis skills
Building on your knowledge from A level Chemistry, this innovative course will equip you with the skills you will need to progress onto your Chemistry degree, by learning about important ideas and concepts fundamental to chemistry.
The course will review key concepts related to structure and reactivity, organic synthesis and spectroscopy and extending them beyond your A level understanding to prepare you for university course.
The lessons will require you to take an active approach to learning, encouraging you to interact with your fellow students within the sessions.
If preparing to study chemistry at university in 2020, we recommend taking this course alongside the maths online learning course. If studying a biological course then chemistry can be taken alongside the biology online course. We will be introducing simple MO theory, considering reactions of conjugated π-systems and building on the oxidation reactions studied at A level to introduce reactions such as the Diels-Alder and cycloadditions. We will review spectroscopic characterisation of organic compounds including IR and the use of NMR in structure elucidation.
- Prepare students for the style of teaching – lectures and tutorials – common to UK universities
- Bridge the gap between the A-level course and biology-based University courses
- Practise evaluation and reflection skills through critical evaluation
- Develop data analysis skills
The course will cover non-overlapping content between the main A-level and IB specifications and develop some of the skills identified from University staff as needed in Year 1 undergraduates, e.g. evaluation and reflection skills, data analysis, report writing and critical analysis.
The course will start with an analysis of the research surrounding the current COVID19 outbreak, through an analysis of scientific papers and scientific commentary, and linking key areas of the biology of this corona virus to areas covered within the A-level and IB specifications. Students will be introduced to a university-like method of teaching so there will be a combination of both lectures and tutorials where students will be encouraged to contribute opinions and critically evaluate evidence.
Students will study exemplar essays and lab reports and apply those skills to their own extended pieces of work. They will also analyse scientific papers, evaluating current understand of a topic through the comparison of published findings that may often be conflicting There will also be an opportunity to study content related to the students’ desired topic area within the broad field of Biology.
Computer Science booster
- Develop conceptual programming skills in a number of different software platforms
- Develop a range of problems and short projects designed to stretch student’s curiosity and computational thinking
- Become conversant in assembly language that will support any future university courses in computer science
Students will learn about relevance through Object Orientated Programming (OOP), currently being taught in Computer Science courses in UK Universities and will be introduced to Abstract Data Types (ADT). OOP is very modular, enabling coders to create a structure that can be used for different data types.
Introducing OOP in GameMaker Studio 2 – The first week introduces the concept of objects in programming and how this can benefit coders in game development. The first week of the course focuses on creating classic arcade games from the 1980s and coding the rocks and spaceship objects in Asteroids to allow them to move, score or shoot.
Introducing ADT – Abstract Data Types and OOP in Python – The second week builds on the ideas introduced in the first week and explores the features of object-oriented design such as encapsulation, polymorphism, inheritance, and composition of systems based on object identity. Students will have an opportunity to develop creative programming and graphic user interfaces in Python.
Exploring the internal operations of the computer and Von Neumann Machine concept using Assembly Language – The third week examines an important area of computer science through the application of low-level computer languages. This part of the course will focus on Assembly Language used by computer manufacturers and software developers to store and load instructions and data between the different components of the computer’s internal memory and its central processing unit.
Creating games using Assembly Language – The final week will develop the assembly language code covered in the previous week using Peter Higginson’s ARMlite Assembler to create simple games and projects.
- Introduce students to some key concepts at undergraduate level which are prevalent across almost all of the numerate subjects
- Build upon the key ideas introduced at A Level and how they are used at undergraduate level, emphasising how concepts taught at A Level can be understood more deeply, and hence generalised and made more powerful
- Underline the expectations of university study, including typesetting of mathematical equations, independent and group working, and self-motivation
This course is ideal for students who have studied A Level Mathematics and want to go on to study any undergraduate course with a mathematical basis (i.e. any STEM subject) – the amount of material covered will depend on the pace of learning, which will be adjusted to suit the cohort.
The course is split into two components, the first of which is Advanced topics statistics, probability and discrete mathematics. Students will be invited to explore some of the foundational concepts of statistics and probability, including Bayesian inference and stochastic processes. This component of the course will benefit anybody who needs to deal with uncertainty – which means everybody. Psychologists, doctors, sports coaches, economists and businesspeople, scientists of all kinds, … we all need to be able to look at the world, model it in some way, and draw conclusions which are better than our ‘gut feeling’.
The second component is Calculus in higher dimensions. Integration and differentiation can be generalised in so many different ways that go beyond the one-dimensional Riemann integral – students will have the opportunity to see how measure theory and analysis can come together and enable calculus to work in multiple dimensions. Academics of all kinds can benefit from an understanding of calculus in higher dimensions – engineers might need to limit the curvature of a surface; computer scientists need higher dimensional derivatives to train AI; statisticians can use principle component analysis to draw conclusions from multidimensional data; surgeons can use the exterior derivative to improve artificial body parts; and mathematicians can… do whatever it is we do.
The online physics course aims to develop your skill in the derivation of formulae from first principles, and in applying mathematical techniques to solve problems in unseen scenarios. The course will introduce ideas and themes encountered in Physical Science courses at University and bridge the gap between A-level and University study in physical science.
The course takes the form of a series of worked examples or case studies, from a variety of areas relevant to both Physics and Engineering. In each one, students will study the situation and look for how the science they have studied in A level Physics can be applied to this new scenario. Example topics include the vibrations within vehicles, the study of hydraulic systems, the mechanics of bridge design and the stresses acting within the blades of wind turbines.
Students will be expected to derive relationships for themselves, guided closely by teachers, in a similar manner to a university level problem class. This course will assume knowledge of A level Physics, as well as elements of A level mathematics and further mathematics including basic differentiation, integration, some trigonometric identities, differential equations, complex numbers and the use of matrices to solve simultaneous equations.
Academic English booster
The online English course will prepare you for the Academic English you will be expected to use at university with an additional focus on STEM vocabulary and terminology. The aim is to build the confidence of every student so that you will thrive in a university setting in the UK.
During the course we will widen your vocabulary with an introduction to the Academic Word List as well as more specific maths and computing vocabulary. There will be a strong emphasis on essay writing skills including structure, organisation and cohesion. Developing more formal speaking skills is also a key part of the course with every student expected to produce a formal presentation on their degree subject. You will be given guidance on style, language and pronunciation.
The lessons will be fully interactive with every student expected to speak and make contributions to discussions. You will have ongoing support from your tutor and will be expected to prepare materials for the lessons, as well as completing essays and learning key terminology. You will be given in depth feedback to ensure you make the best progress possible and are ready to participate fully in university tutorials which require your opinions and ideas.
Workshop: How to write a personal statement
Writing a personal statement can be hugely stressful. We want to take some of that stress away with our Personal Statement Workshop. We want to highlight you and your interests whilst avoiding some of the common mistakes that many students make with style, tone and cliched phrases. We will examine what the universities are looking for and ensure that your personal statement reflects who you really are and why you are the best applicant with a strong emphasis on language and grammar.
The English course can be taken alongside any of the other courses.
4th – 29th May (All timings of lessons are GMT).
|Mathematics||08:30 – 09:30||09:40 – 10:40||09:40 – 10:40||09:40 – 10:40||09:40 – 10:40|
|English||13:00 – 14:00||13:00 – 14:00||13:00 – 14:00||13:00 – 14:00||13:00 – 14:00|
|Biology||08:30 – 09:30||11:00 – 12:00||09:40 – 10:40||09:40 – 10:40|
|Chemistry||11:00 – 12:00||08:30 – 09:30||08:30 – 09:30||08:30 – 09:30|
|Comp Sci||11:00 – 12:00||11:00 – 12:00||11:00 – 12:00||08:30 – 09:30|
|Physics||11:00 – 12:00||11:00 – 12:00||11:00 – 12:00||11:00 – 12:00|
|1 course||2 courses||3 courses|
You can request a full refund up to ten working days* after confirmation that your purchase has been completed, provided the course has not started. Any request for withdrawal after ten days following purchase, or once the course has started, if approved, will receive a credit note which can be used towards paying for a future Natmatsci-ber online course. In such cases, 20% of the course fee will be charged as an administration fee. This will only be granted during the first quarter of the course. Credit notes expire after 12 months.
Courses that cannot be continued or rescheduled will be refunded in full.
*Saturdays, Sundays or UK public holidays are not counted as “working days”.