1:1 Online Course: Computer Science (Ages 16-18)

General

Program Description

Computer Science Programme Overview:

  • Programme: Computer Science
  • Fee: £2,295
  • Course Length: 2 weeks
  • Course Type: Online

Summer School Website URL: Computer Science Summer School in Cambridge

Computer Science 1:1 Online Research Project

The Oxbridge Online Research Programme (‘OORP’) is designed for students who want to enhance their personal research and study skills in preparation for university, whilst also developing deeper knowledge in their chosen field.

Led by their personal tutor, students undertake a research project assessed at university-level and receive daily 1:1 supervision in addition to small-group academic skills classes. This course is ideal for students wanting to gain invaluable experience for writing a dissertation or thesis at university, whilst also familiarising themselves with the demands of an Oxbridge degree.We recognise that adjusting to campus life, keeping up with a rigorous study schedule, and learning to live independently can feel overwhelming for even the most determined learners.

The Immerse Computer Science summer school programme offers participants an exciting insight into what it’s like to study Computer Science at university. Through a curriculum developed by experts from world-leading universities, the Computer Science programme teaches secondary school students about some of the most exciting and fundamental topics explored in a typical undergraduate Computer Science degree. Here, students aged 16–18 will learn to bring their ideas to life, creating new programs, and discussing the potential implications of working in a field that adapts so quickly.

Each lesson has been carefully planned by experts in the field, designed to meet participants at their level and gradually push them towards deeper, more challenging content. Participants in this computer science programme will start with the basics, and then become familiar with more advanced, contemporary movements in computing such as artificial intelligence, machine learning and cryptography. Moreover, participants will consider how these new ideas can be used to solve the world’s biggest problems.

Immerse is an inspirational academic programme for the intellectually curious.

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Computer Science Key Benefits

  • Explore the science behind Facebook and Google’s facial-recognition software
  • Observe machine learning models in action and discuss the virtually untapped potential of AI
  • Encrypt, decode, and authenticate information as you learn about the complex world of cryptography
  • Discuss new developments in cryptocurrency, critically analysing the strengths and weakness of blockchain technology
  • Get to grips with algorithms, the fundamental building blocks of modern computing
  • Understand how modern operating systems handle scheduling, multitasking, memory management, and security

Computer Science Topics Covered

As the programme is 1:1, the syllabus can be personlised to suit your academic goals and requirements.

Participants could explore how websites are built and function, discover why Blockchain is making so many headlines right now, and see how cryptocurrency transactions take place. Towards the end of the programme, the conversation will turn to AI, where participants uncover the main concepts behind Machine Learning. Finally, they will spend time learning about cryptography, understanding how messages can be encoded, decoded, and cracked as they’re passed between parties.

This computer science summer programme has been purpose-built for students of varied ability, between 16–18 years of age. As participants work through the curriculum, tutors will adapt the content based on individual ability, interests, and understanding. In other words, no matter how advanced a student’s current understanding of programming may be, the course provides plenty of opportunities to learn new skills, solve tough computing challenges, and write programs that solve interesting problems.

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Computer Science Course Outcomes

Immerse programmes bridge the gap between secondary school and university. Participants will be given the tools they need to begin seriously studying computer science at a higher level. Instruction has been designed to interweave different teaching methods, engaging students in both hands-on, practical computer science challenges, as well as guided tutorials from expert tutors. This varied approach helps to solidify knowledge gained through lectures and help make new ideas more permanent.

However, all this knowledge would be pointless without understanding how it can be applied to real problems. As such, recurring emphasis will be placed on the real-world application of theory, showing how individual computer science skills map to specific job opportunities and industries. Additionally, computer science participants will be assigned a larger, overarching coding project, designed to give them a feel for the kinds of computing problems they’ll encounter outside the walls of a classroom.

Leaving Cambridge at the end of their Computer Science summer school programme, participants will feel confident with key Computer Science topics in entry-level undergraduate material, having mastered the pace of learning they can expect in university, and with a better understanding of their own role and abilities as an independent learner.

By the end of this computer science summer programme participants will:

  • Understand the bigger picture by studying the history, current ability, and future potential of computers
  • Have completed an independent, overarching project that ties into multiple syllabus criteria
  • Be able to program functions, loops, and data structures using Python
  • Have thoroughly explored the three pillars of object-oriented programming
  • Critically analyse contemporary websites, learning how they’re built and deployed
  • Understand blockchain, cryptocurrency, and how they’re set to completely change the world
  • Learn to optimize a CPU through pipelining, branch prediction, and out-of-order execution
  • Be able to easily identify the differences between AI, machine learning, and neural networks

Students in this course will receive personalised feedback from their tutors about their performance, the material covered, and even a list of individualised suggestions for further study.

Case Studies

Erik Enger Carlson, United Kingdom

2017 Computer Science Alumnus

Erik participated in our Computer Science programme in 2017. Here's what he has to say about his time with Immerse Education:

With the computer science that I in part learned at Immerse, I have now created multiple digital services and companies. Among others the service Catchergames.com, a team building game which has now been used by thousands of students and has helped them develop more of a community at their University, high school or summer camp.

With Immerse I got to meet and learn from ambitious people from all over the world and I now hope to bring my services to even more people.

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Participant Assessment

Throughout the Oxbridge Online Research Programme, Immerse tutors will monitor student engagement with the topics that they have been taught. Once the programme has finished, the tutor will write a Participant Assessment that will evaluate how the participant responded to the materials they were introduced to, what progress they made during the sessions, and offer recommendations on how to most effectively advance participant's understanding and interest in the topics that have been explored.

We strongly believe that our Participant Assessments are a crucial element of the learning process and reflective of our commitment to the highest standards of education.

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Last updated Jul 2020

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About the School

Immerse Education is a two-week residential academic programme in Cambridge with a diverse and enriching curriculum, designed for 13-18-year-old students – providing a taster of what it’s like to stud ... Read More

Immerse Education is a two-week residential academic programme in Cambridge with a diverse and enriching curriculum, designed for 13-18-year-old students – providing a taster of what it’s like to study a subject at a higher level. Read less
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