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Summer reading and coding for Computer Science applicants

Summer reading and coding for Computer Science applicants

We’ve compiled a selection of books and resources that you may find interesting to read or browse through before joining us in September.

You are not required to read any of them, but we hope you may wish to look at some of them covering topics from Artificial Intelligence to Unix and from Cryptography to Where Wizards Stay Up Late: The Origins of the Internet!

Download our suggested reading list from here.

Plus try your hand at some free online tutorials such as learning the basics of programming and Python.

-  "Learn Python 3.6 for Total Beginners" Udemy, https://www.udemy.com/course/python-3-for-total-beginners/

For the last 5 years, Python has been, by far, the most popular programming language. In addition to its simplicity and readability, there are countless libraries to extend Python’s functionalities (like many data science and machine learning libraries, for instance). With this free online tutorial, you’ll learn the basics of programming and Python, including Jupyter Notebook IDE.

-  "Learn You a Haskell for Great Good!" by Miran Lipovaca, http://learnyouahaskell.com/chapters

In this free online tutorial, you’ll learn about functional programming and Haskell, one of the main functional languages, where every entity is a function and you can write complex code by simply composing simpler functions.

We hope you enjoy exploring these resources and look forward to meeting you soon.

More information

If you have any questions please feel free to contact us.

You can also chat with our current students to find out what it's like to study in the Department of Computer Science.

Find out more about preparing for university life on the general pages of our Applicant Activity Hub

If you're joining us via an integrated foundation year, you may also find this page useful:
Applicant Activity Hub for Integrated Foundation Year 

Bedford building

The Bedford Building - home of the Department of Computer Science

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