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.
Spécialisation Introduction to Computer Science and Programming
Get ready for computer science. Create graphical programs, learn computing mathematics, develop mental models of computer systems.
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Offert par
Université de Londres
Goldsmiths, Université de Londres
À propos de ce Spécialisation
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Ce que vous allez apprendre
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.
Compétences que vous acquerrez
Computer Graphics (CG)Problem SolvingMathematicsJavaScriptComputer Programming
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau débutant
High school mathematics, enthusiasm for computing, some programming experience will help.
Approx. 2 mois pour terminer
13 heures/semaine recommandées
Anglais
Sous-titres : Anglais
Comment fonctionne la Spécialisation
Suivez les cours
Une Spécialisation Coursera est une série de cours axés sur la maîtrise d'une compétence. Pour commencer, inscrivez-vous directement à la Spécialisation ou passez en revue ses cours et choisissez celui par lequel vous souhaitez commencer. Lorsque vous vous abonnez à un cours faisant partie d'une Spécialisation, vous êtes automatiquement abonné(e) à la Spécialisation complète. Il est possible de terminer seulement un cours : vous pouvez suspendre votre formation ou résilier votre abonnement à tout moment. Rendez-vous sur votre tableau de bord d'étudiant pour suivre vos inscriptions aux cours et vos progrès.
Projet pratique
Chaque Spécialisation inclut un projet pratique. Vous devez réussir le(s) projet(s) pour terminer la Spécialisation et obtenir votre Certificat. Si la Spécialisation inclut un cours dédié au projet pratique, vous devrez terminer tous les autres cours avant de pouvoir le commencer.
Obtenir un Certificat
Lorsque vous aurez terminé tous les cours et le projet pratique, vous obtiendrez un Certificat que vous pourrez partager avec des employeurs éventuels et votre réseau professionnel.
Cette Spécialisation compte 3 cours
Cours1
Introduction to Computer Programming
4.4
étoiles
241 évaluations
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.
Cours2
How Computers Work
4.6
étoiles
145 évaluations
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.
Cours3
Mathematics for Computer Science
4.3
étoiles
54 évaluations
“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!”
Enseignants
Dr Edward Anstead
Associate LecturerComputing, Goldsmiths
Dr Simon Katan
LecturerComputing, Goldsmiths
Dr Marco Gillies
Senior LecturerComputing Department, Goldsmiths, University of London
Dr Matthew Yee-King
LecturerComputing Department, Goldsmiths, University of London
À propos de Université de Londres
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
À propos de Goldsmiths, Université de Londres
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.
Foire Aux Questions
Quelle est la politique de remboursement ?
Puis-je m'inscrire à un seul cours ?
Oui ! Pour commencer, cliquez sur la carte du cours qui vous intéresse et inscrivez-vous. Vous pouvez vous inscrire et terminer le cours pour obtenir un Certificat partageable, ou vous pouvez accéder au cours en auditeur libre afin d'en visualiser gratuitement le contenu. Si vous vous abonnez à un cours faisant partie d'une Spécialisation, vous êtes automatiquement abonné(e) à la Spécialisation complète. Visitez votre tableau de bord d'étudiant(e) pour suivre vos progrès.
Une aide financière est-elle possible ?
Puis-je suivre le cours gratuitement ?
Ce cours est-il vraiment accessible en ligne à 100 % ? Dois-je assister à certaines activités en personne ?
Ce cours est entièrement en ligne : vous n'avez donc pas besoin de vous présenter physiquement dans une salle de classe. Vous pouvez accéder à vos vidéos de cours, lectures et devoirs en tout temps et en tout lieu, par l'intermédiaire du Web ou de votre appareil mobile.
Quelle est la durée nécessaire pour terminer la Spécialisation ?
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.
Puis-je obtenir des crédits universitaires si je réussis la Spécialisation ?
The Specialisation is non credit bearing, however, it provides a 'taster' of three of the modules taken from the University of London BSc Computer Science suite of degrees.
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.