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<\/figure>\n\n\n\nProgramming<\/h2>\n\n\n\n
An ideal starting point is to learn programming. To do so, you\u2019ll need to pick a couple of programming languages to work with to begin understanding programming concepts. It\u2019s not too important which you choose to work with, as it\u2019s more about the underlying principles. However, Phython and Java are good starting points. This is because they are widely used in the industry and provide a mixture of dynamically and statically typed languages.<\/p>\n\n\n\n
The Software Stack<\/h2>\n\n\n\n
Once you\u2019ve learnt to write code, you need to understand the what\u2019s going on behind the scenes. Learning about each layer of the stack from the code all the way down to the hardware is essential. By studying the software stack, you\u2019ll learn about hardware, compilers, linkers and operating systems plus how to create your own.<\/p>\n\n\n\n
Algorithms and Data Structures<\/h2>\n\n\n\n
Now you know how the hardware will run your code, you have an appreciation for the limited hardware resources available. And the need to utilise them efficiently. You learn how to do this through studying algorithms and data structures. Which teaches you how to write speed and resource efficient code. By learning this you\u2019ll position yourself as a strong programmer.<\/p>\n\n\n\n
Networks<\/h2>\n\n\n\n
In todays world, code doesn\u2019t often run on one isolated computer system. It typically communicates with other computers through localised networks or the internet. Therefore, you need to fully understand how computer networks work. Including the Application Layer, Transport, Network and Link Layers, Wireless and Mobile Networks, Security in Computer Networks and Multimedia Networking.<\/p>\n\n\n\n You will have a good overview of operating systems from the part they play in the software stack. But it\u2019s imperative you gain a deeper understanding of these in their own right. You need to learn about the functions they use to manage computer hardware and software. Such as the user interface, CPU management, multi-tasking, memory and peripheral management, organisation of files and directories, security and utilities.<\/p>\n\n\n\n This is where you take the step away from the nitty gritty details and start looking at the bigger picture. By studying distributed systems, you learn to build and architect scalable software systems that can withstand failures. As opposed to figuring out how to create the individual components.<\/p>\n\n\n\n You\u2019ll be able to make mountable systems that can take on increasing requests and data with ease. All the while protecting these systems in case of machine failure. Hands on work in this subject particularly can help with your learning. So be sure to set yourself a good number of projects to practise your skills.<\/p>\n\n\n\n An increasingly important component of Computer Science and one that will be immensely valuable to your future career. Machine learning has strong mathematical and statistical underpinnings. By taking a bottom-up approach to learning this subject, you\u2019ll understand the essential concepts before you start coding. It might be a slower approach, but you need to learn to walk before you can run. <\/p>\n\n\n\n Spend time studying machine learning theory before moving onto practical projects. Then you can practice the entire machine learning workflow on real datasets. Which will help you become more intuitive to the types of models which are appropriate for different types of challenges.<\/p>\n\n\n\n Be sure to cover important topics like The Big Picture, Optimisation, Data Preprocessing, Sampling & Splitting, Supervised\/Unsupervised Learning, Model Evaluation, Ensemble Learning and Business Applications.<\/p>\n\n\n\n Once confident with these, you can move onto more cutting-edge subfields like Deep Learning, Computer Vision and Natural Language Processing.<\/p>\n\n\n\n Now you\u2019ve got a list of topics to learn, you\u2019re in a great position to get started. But there are other things you can do to increase your chances to effectively learn Computer Science on your own.\u00a0<\/p>\n\n\n\n It\u2019s important you find a way to work together with others in the same field. For instance, if you\u2019re unaware you\u2019re writing code incorrectly, you won\u2019t know unless someone else points it out. You could consider studying in a co-working space to meet likeminded people. Or submit your work into forums and other online spaces and ask others to review it.<\/p>\n\n\n\n This would be the same advice if you were studying a degree or not. It\u2019s vital you practice your skills by building as many solid projects as possible. Firstly, because it helps you put theory into practice and gain experience. Secondly, because you need a portfolio to show employers. Mobile apps are a good place to start as they are easy to present to others. You can also contribute to open source projects.<\/p>\n\n\n\n If you\u2019re not currently working in a tech-related role, it\u2019s useful to gain as much experience as you can. Obviously, this can be tricky when you are just starting your learning journey. But as you gain more knowledge and skill, you\u2019ll have something to offer. Try to get a side job where possible to get hands-on experience. You could approach start-ups who perhaps don\u2019t have the budget to employ seasoned professionals. Or volunteer your services for free and help out where you can. It all provides experience and references you can use to build your CV.<\/p>\n\n\n\n By following these tips, you will be well prepared to effectively learn Computer Science effectively on your own. If along the way you feel you\u2019d benefit from the guidance and input of a structured course, we can help.<\/p>\n\n\n\n Stonebridge Associated Colleges<\/strong><\/a> is a leading UK distance learning provider. With many online courses to help you qualify for a new career path.<\/p>\n\n\n\n![\"Stonebridge](\"https:\/\/www.stonebridge.uk.com\/wp-content\/uploads\/2021\/01\/How-to-effectively-Learn-Computer-Science-on-my-Own-3.png\")
<\/figure>\n\n\n\nOperating Systems<\/h2>\n\n\n\n
Distributed Systems<\/h2>\n\n\n\n
Machine Learning<\/h2>\n\n\n\n
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<\/figure>\n\n\n\nComputer Science Study Tips<\/h2>\n\n\n\n
Don\u2019t work in isolation<\/h3>\n\n\n\n
Get building<\/h3>\n\n\n\n
Get some tech experience<\/h3>\n\n\n\n
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