This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science.
Специализация Introduction to Computer Science and Programming
Get ready for computer science! . Create graphical programs, learn computing mathematics, develop mental models of computer systems.
от партнера
University of London
Goldsmiths, University of London
Специализация: общие сведения
Чему вы научитесь
1. Use the Javascript language to create interactive programs in the browser with 2D graphics.
2. Convert between number bases, work with modular arithmetic, sequences and series and plot graphs.
3. Develop and use mental models to describe the workings of a range of computer systems.
Приобретаемые навыки
Computer Graphics (CG)Problem SolvingMathematicsJavaScriptComputer Programming
Специализация: принцип работы
Пройти курсы
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Практический проект
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Получите сертификат
Когда вы пройдете все курсы и завершите практический проект, вы получите сертификат, которым можно поделиться с потенциальными работодателями и коллегами.
Специализация включает несколько курсов: 3
Курс1
Introduction to Computer Programming
4.5
Оценки: 34
This MOOC provides you with the foundational skill set required to write computer programs. If you are interested in learning how to write interactive, graphical programs from an introductory level in a real programming language, this is the course for you. You will begin by learning the basics of editing and running programs. Then you will learn how to create 2D graphics using shapes and coordinates. Finally, you will learn how to create interactive graphics that you can control with the mouse. You will even solve a set of interactive puzzles using your coding skills in the Sleuth game which has been created especially for this course. The course uses the Javascript language and the p5.js library.
Курс2
How Computers Work
4.5
Оценки: 35
Computers are everywhere, they aren't just the desktops and laptops we use for work but the phones in our pockets and even the watches on our wrists are also computers. You probably use a computer every day and in fact you are reading this on a computer!
Just because we use computers all the time, doesn't mean that we understand them, or find them easy to use. Computer Science is the science of computers, it is the field of knowledge that experts use to understand computer systems. Knowing a little computer science will help you understand the computers all around you.
This isn't a how-to course for a particular piece of software, instead you will learn some fundamental concepts that you can apply to any software or computer system. You'll apply these concepts to the kind of computer systems we use every day, including word processing applications, e-commerce, the internet and web sites. You will learn how to apply computer science concepts to solve problems in daily computer use and generally be a better computer user.
Taking this course could be the start of your career in computer science, and the course is an introduction to the Bachelors in Computer Science from University of London, but it is also for you if you just want to learn a little computer science to help you better understand the computers you use in your ordinary life.
Курс3
Mathematics for Computer Science
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics.
If you wish to take it further you can join the BSc Computer Science degree and complete the full module ‘Numerical Mathematics’.
Enjoy!”
Преподавателя
Dr Edward Anstead
Associate LecturerComputing, Goldsmiths
Dr Marco Gillies
Senior LecturerComputing Department, Goldsmiths, University of London
Dr Matthew Yee-King
LecturerComputing Department, Goldsmiths, University of London
Dr Sara Santos
Lecturer of MathematicsComputing Department, Goldsmiths, University of London
Dr Simon Katan
LecturerComputing, Goldsmiths
О University of London
The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk
О Goldsmiths, University of London
Championing research-rich degrees that provoke thought, stretch the imagination and tap into tomorrow’s world, at Goldsmiths we’re asking the questions that matter now in subjects as diverse as the arts and humanities, social sciences, cultural studies, computing, and entrepreneurial business and management. We are a community defined by its people: innovative in spirit, analytical in approach and open to all.
Часто задаваемые вопросы
What is the refund policy?
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
How long does it take to complete the Specialization?
The Specialisation should take approximately 13 weeks to complete. How Computers Work course is 4 weeks long, Introduction to Computer Programming is 3 weeks long, and Mathematics for Computer Science there is 6 weeks long. The courses are flexible so these are indicative timings. Learners can study the courses concurrently but should be mindful of the course load required per week to complete in these time frames.
Do I need to take the courses in a specific order?
There is no specific order in which to take the courses.
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