Introdução à Informática (UAb)

Offered by Universidade Aberta,
Introdução à Informática (UAb)

Este curso pretende tornar os participantes mais produtivos na utilização das tecnologias de informação e comunicação, fundamentais para melhor comunicar, gerir e produzir informação, economizando tempo e esforço. Desenvolva as suas competências digitais, essenciais para todas as atividades profissionais.

Na sociedade atual é fundamental saber utilizar ferramentas básicas para processar, guardar e gerir a informação. As literacias digitais constituem um desafio permanente e o seu desenvolvimento constitui uma preocupação constante.
Neste sentido, a Universidade Aberta disponibiliza este MOOC, respondendo a esse desafio social e possibilitando que qualquer pessoa, em qualquer lugar, possa desenvolver as suas competências digitais.

No final deste curso deve ser capaz de:

  • elaborar e reutilizar documentos escritos com boa apresentação;
  • efetuar cálculos numéricos, para suporte à decisão e modelação do raciocínio;
  • elaborar apresentações multimédia, para expor ideias e projetos;
  • organizar informação em pequenas bases de dados;
  • pesquisar e recolher informações na internet, bem como utilizar serviços da internet.

TEMAS:
TEMA 1 | Introdução aos computadores
TEMA 2 | Aplicações transversais: Processamento de Texto e Folhas de Cálculo
TEMA 3 | Bases de Dados

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

Related Courses

How Computers Work (Coursera) Coursera
University of London,Goldsmiths, University of London

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.

Oct 19th 2026
4 Weeks
Internet History, Technology, and Security (Coursera) Coursera
University of Michigan

Internet History, Technology, and Security (Coursera)

The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today.

Oct 19th 2026
5-12 Weeks
Test-Driven Development Overview (Coursera) Coursera
LearnQuest

Test-Driven Development Overview (Coursera)

In this introductory course you will get both a full overview of what TDD is, when it can and can't be applied, and what its benefits are for practitioners and organizations. You will also have the opportunity to get hands on with a few fun introductory projects where you can apply what you have learned and experience the benefits of this approach to problem solving yourself.

Oct 5th 2026
4 Weeks
Materials Data Sciences and Informatics (Coursera) Coursera
Georgia Institute of Technology

Materials Data Sciences and Informatics (Coursera)

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts.

Oct 5th 2026
5-12 Weeks
Getting Started with Data Visualization in R (Coursera) Coursera
Johns Hopkins University

Getting Started with Data Visualization in R (Coursera)

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.

Oct 5th 2026
3 Weeks
Computer Science: Algorithms, Theory, and Machines (Coursera) Coursera
Princeton University

Computer Science: Algorithms, Theory, and Machines (Coursera)

This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.

Oct 5th 2026
5-12 Weeks
Computer Science: Programming with a Purpose (Coursera) Coursera
Princeton University

Computer Science: Programming with a Purpose (Coursera)

The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world.

Oct 5th 2026
5-12 Weeks
Precalculus: Mathematical Modeling (Coursera) Coursera
Johns Hopkins University

Precalculus: Mathematical Modeling (Coursera)

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.

Oct 5th 2026
4 Weeks
User Research and Design (Coursera) Coursera
University of Minnesota

User Research and Design (Coursera)

In this course you will learn and practice techniques of user research and early UI design exploration. First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques. Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios. Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.

Oct 5th 2026
4 Weeks
Introduction to Self-Driving Cars (Coursera) Coursera
University of Toronto

Introduction to Self-Driving Cars (Coursera)

Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. By the end of this course, you will be able to: Understand commonly used hardware used for self-driving cars; Identify the main components of the self-driving software stack; Program vehicle modelling and control; Analyze the safety frameworks and current industry practices for vehicle development

Oct 5th 2026
5-12 Weeks
Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Oct 5th 2026
4 Weeks