EIT Digital Courses

Security and Privacy for Big Data - Part 1

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course sensitizes security in Big Data environments. You will discover cryptographic principles, mechanisms to manage access controls in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all security-related issues are under control.You will look at decent-sized big data projects with security-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level. If you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and security, this course will suit you as well.

Introduction to Architecting Smart IoT Devices

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWhat will you learn?Embedded Systems are so ubiquitous that some of us take them for granted: we find them in smartphones, GPS systems, airplanes, and so on. But have you ever wondered how these devices actually work? If so, you're in the right place! In this course, you'll learn about the characteristics of embedded systems: the possibilities, dangers, complications, and recipes for success. We'll discuss all of this in the framework of a flourishing embedded systems field: the Internet of Things, where billions of intercommunicating devices could enable unprecedented, innovative products and services. If you'd like to learn how to create similarly innovative products, then this is the course for you!At the end of the course, you'll be able to:- make the right choice for your own project when it comes to the target market, parallel executions, time, and the lifecycle of your system- hack, avoid failure and promote success - decide whether to buy or to build components- how to assemble a good team- install case tools- learn how to work with SysML

Architecting Smart IoT Devices

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards, and networks. You'll also learn how to actually use and integrate these components.At the end of the course, you will be ready to start architecting and implementing your own embedded device! You'll learn how to debug and finetune your device and how to make it run on a low power supply.

Value Creation Through Innovation

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis specialization covers the basics of Innovation and Entrepreneurship courses in the EIT Digital Master Program. The program aims to educate students and deliver entrepreneurs with the right business skills and sense. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in this Innovation and Entrepreneurship specialization.

Cybersecurity Awareness and Innovation

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIt’s not you, it’s me! What’s going on? This course empowers students, professionals and the wider community to deal with cybersecurity attacks and risks focused on identity management and it is an introduction to the upcoming full course focused on cybersecurity awareness.It provides a practical overview of challenging issues like identity credentials management and security, e-mail threats and web impersonation, or web hacking. In addition to this, you will have a practical appreciation of innovation applied to these concepts through an interview with a renowned expert in fraud and cybercrime. The teaching staff consists of Iván Pau, UPM researcher and expert in usable security, and Román Ramírez, hacker and cybersecurity expert.Learning will be carried out by introducing use cases related to cybersecurity incidents, in a way that ensures participants to get really involved in the course. You will easily acquire practical skills and be ready to face real threats in a digital world.This course is part of an online programme developed by Universidad Politécnica de Madrid (world-class tech university renowned for the quality of its education programmes and the research undertaken at its centres), Ferrovial (the world's leading private investor in cities and infrastructures, with a workforce of more than 74.000 employees and operations in more than 16 countries) and EIT Digital.

Capstone Value Creation through Innovation

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis capstone course is the final course of the Value Creation Through Innovation Specialization. The specialization covers technology bases innovation and transformation and how to spot and to capitalize on emerging opportunities. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in the Value Creation Through Innovation Specialization. In this capstone project you will utilized the methods introduced in the courses The Impact of Technology, Innovation & Entrepreneurship, and Marketing Strategy for Entrepreneurs, and show that you master them. You should be able to show knowledge and judgment regarding when and how to utilize what method and approach. You will throughout the capstone project work on one project that you select yourself. Each week you will be given one major assignment to complete, and later to review.

Capstone: Autonomous Runway Detection for IoT

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis capstone project course ties together the knowledge from three previous courses in IoT though embedded systems: Development of Real-Time Systems, Web Connectivity & Security and Embedded Hardware and Operating Systems. The students will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment. This course is a true engineering task in which the student must, not only implement the algorithm code, but also handle the interfaces between many different actors and hardware platforms. The students will learn how to motivate engineering decisions and how to choose implementations to make a system actually running. The students will also learn to evaluate the efficiency and the correctness of their system as well as real-world parameters such as energy consumption and cost.

Software Architecture for the Internet of Things

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course will teach you how to design futureproof systems that meet the requirements of IoT systems: systems that are secure, interoperable, modifiable, and scalable. Moreover, you'll learn to apply best-in-class software architecture methods to help you design complex IoT and other applications. Lastly, you'll come to understand the business impact of the technical decisions that you make as an IoT system architect.You'll learn all about software architecture in the next 5 weeks! In the first week, you'll discover why having a well-designed architecture is important and which challenges you might come across while developing your architecture. By the end of the second week, you'll already be able to write your own requirements! In the third and fourth weeks, you will learn how to correctly write quality attributes and quality attribute scenarios for a specific case. In the last week, you'll learn to describe your own patterns and tactics and see how they're used in an Android framework.

Privacy & Standardisation Capstone

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWelcome to the capstone on the specialisation on Privacy & Standardisation. This capstone will build on the knowledge you obtained in the courses: Standardisation & Technology, Privacy in the Western World, Privacy in the USA and Privacy in Europe. The capstone will help you build a comprehensive opinion and it will challenge you in all areas of present-day privacy protection. The assignments invite you to use and revisit the material of all the courses. This capstone will link historic milestones to current limitations and offer you a journey through jurisdictions and technological fields alike. Whereas in the previous courses you were assessed by quizzes, the capstone will require you to carefully consider all you have learned so far and detail your opinion. The assessment in this course will mainly be done by in-depth assignments. Use the few practice exercises well to give you a head start in the graded assignments!

Privacy in Europe

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeAfter having followed Privacy in the Western world you have become acquainted with the overall global legal system and the origins of privacy as a concept as well as privacy as a (human) right. This course deals with the European legal system to protect privacy. European privacy protection is based upon human rights treaties, both on a European level as well global level such as, e.g. the UN Declaration on Human Rights. This course outlines and deals with these human rights treaties as well as with the specific rules and regulations that govern day to day privacy protection in Europe. The course deals with how the European cooperation came into being after the devastating effects of World War II. Economic cooperation was deemed necessary to prevent another war. From economic cooperation other issues became part of the negotiations, and to this day more and more policy fields have become part of the European cooperation. Dealing with and having respect for different human rights is paramount in this cooperation. And privacy protection and regulation has become an increasingly important subject that has attracted a lot of global attention. The course deals with the different legal elements that have played an important role into grabbing in legal terms the notion of privacy and how to legally protect it. The rules that enable the exchange of personal data between the USA and Europe is being dealt with. It also deals with the constituting legal elements that have become part of the General Data Protection Regulation (GDPR). After successful completion of the course you will have sufficient baggage to know about the important legal elements and historical background on the coming into being of European privacy protection. I wish you a lot of success with following the course.

Innovation & Entrepreneurship - From Basics to Open Innovation

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation.Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations.Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing.This course will teach you how to think like an entrepreneur and provide you with the models, tools, and frameworks to further develop your business or idea.An emphasis will be placed on the IT space.In this first part, From Basics to Open Innovation, the following areas are included: innovation and entrepreneurship basics; the Silicon Valley entrepreneurship model; the importance of failure; market analysis: how to engage with customers; and open innovation.

Blockchain for the decision maker

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis nanoMOOC is an introduction to the live course 'Blockchain for the Decision Maker', offered by EIT Digital and the Budapest University of Technology and Economics.You will learn:- the concept of Distributed Ledgers and how 'blockchain' can provide them- the difference between public networks (as Bitcoin) and consortial ones bespoke for specific business consortia and needs- the key value propositions of blockchain for business and a birds-eye view of use case patterns- the fact that conscious, stepwise "blockchainification" can help you avoid unnecessary disruption and manage risk- turnkey solutions on the leading clouds enable enterprise integration and rapid introductionAfter completion, join the live course and deep-dive into blockchain with face-to-face training, group activities, and hands-on exercises, plus the ‘bring your own problem’ session!

Innovation & Entrepreneurship - From Design Thinking to Funding

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation.Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations.Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing.This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea.An emphasis will be placed on the IT space.In this second part, From Design Thinking to Funding, the following areas are included: design thinking; innovation cycle process; business modeling; and funding.

Security and Privacy for Big Data - Part 2

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control. You will look at decent-sized big data projects with privacy-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level. If you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and privacy, this course will suit you as well.

I/O-efficient algorithms

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeOperations on data become more expensive when the data item is located higher in the memory hierarchy. An operation on data in CPU registers is roughly a million times faster than an operation on a data item that is located in external memory that needs to be fetched first. These data fetches are also called I/O operations and need to be taken into account during the design of an algorithm. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. We will work with a simplified memory hierarchy, but the notions extend naturally to more realistic models. Prerequisites:In order to successfully take this course, you should already have a basic knowledge of algorithms and mathematics. Here's a short list of what you are supposed to know:- O-notation, Ω-notation, Θ-notation; how to analyze algorithms- Basic calculus: manipulating summations, solving recurrences, working with logarithms, etc.- Basic probability theory: events, probability distributions, random variables, expected values etc.- Basic data structures: linked lists, stacks, queues, heaps- (Balanced) binary search trees- Basic sorting algorithms, for example MergeSort, InsertionSort, QuickSort- Graph terminology, representations of graphs (adjacency lists and adjacency matrix), basic graph algorithms (BFS, DFS, topological sort, shortest paths)The material for this course is based on the course notes that can be found under the resources tab.We will not cover everything from the course notes. The course notes are there both for students who did not fully understand the lectures as well as for students who would like to dive deeper into the topics.The video lectures contain a few very minor mistakes. A list of these mistakes can be found under resources. If you think you found an error, report a problem by clicking the square flag at the bottom of the lecture or quiz where you found the error.