How Computers Work (Coursera)

How Computers Work (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

Course 2 of 3 in the Introduction to Computer Science and Programming Specialization.

Syllabus

WEEK 1
Abstraction
This week starts your journey into understanding computer science. You will think about how computer science can help you understand the technology you use every day and you will also learn one of the most important concepts in computer science: abstraction.

WEEK 2
State, modularity and applications
In this week you will learn about the computer science concepts of state and modularity and how they can help you understand the computer applications that you use every day.

WEEK 3
Networks
This week you will learn about how computers communicate with each other over networks, including the internet. You will also learn about some of the security threats that the internet entails and how they can be avoided.

WEEK 4
How the web works
In this week you will apply all of the computer science concepts you have learned in this course to understanding how modern websites work.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Securing Digital Democracy (Coursera) Coursera
University of Michigan

Securing Digital Democracy (Coursera)

In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.

Nov 16th 2026
5-12 Weeks
Redes Ecológicas (Coursera) Coursera
Universidade de São Paulo, Brasil

Redes Ecológicas (Coursera)

Todos os seres vivos estão conectados entre si por interações ecológicas, formando a “colina emaranhada” de Darwin, metáfora inspirada pela “teia da vida” de Humboldt. Desemaranhar essa complexidade é uma tarefa desafiadora, mas factível, desde que você use ferramentas adequadas. A ciência de redes nos ajuda com excelentes ferramentas conceituais e operacionais.

Nov 9th 2026
4 Weeks
An Introduction to Logic for Computer Science (Coursera) Coursera
University of Leeds

An Introduction to Logic for Computer Science (Coursera)

Logic plays a fundamental role in computer science. This course is designed to equip you with a solid understanding of the fundamental principles of logic and their relevance in the field of computer science. In this course, you'll explore proposition logic and discover its practical applications in problem-solving, algorithm design, and the development of intelligent systems. By engaging in hands-on exercises, exploring real-world examples, and participating in discussions, you'll develop strong logical reasoning and critical thinking skills.

Nov 16th 2026
2 Weeks
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Nov 9th 2026
5-12 Weeks
Game Theory II: Advanced Applications (Coursera) Coursera
Stanford University,The University of British Columbia

Game Theory II: Advanced Applications (Coursera)

Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.

Nov 9th 2026
5-12 Weeks
Problem Solving Using Computational Thinking (Coursera) Coursera
University of Michigan

Problem Solving Using Computational Thinking (Coursera)

Have you ever heard that computers "think"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, "telling the computer what to do and how to do it." Before you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.

Nov 9th 2026
5-12 Weeks
System Validation (2): Model process behaviour (Coursera) Coursera
EIT Digital

System Validation (2): Model process behaviour (Coursera)

System Validation is the field that studies the fundamentals of system communication and information processing. It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do.

Nov 9th 2026
3 Weeks
Digital Signal Processing 4: Applications (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Digital Signal Processing 4: Applications (Coursera)

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.

Nov 9th 2026
3 Weeks
Problem Solving, Python Programming, and Video Games (Coursera) Coursera
University of Alberta

Problem Solving, Python Programming, and Video Games (Coursera)

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.

Nov 16th 2026
5-12 Weeks