Online courses directory (1728)

Smartphones, tablettes, ces appareils ultra-portables sont désormais omniprésents dans notre vie quotidienne. Il y a des applications pour presque tout : retoucher ses photos, réserver une place de cinéma, réviser le code de la route, choisir une recette de cuisine, tourner et monter des clips vidéos, ou trouver les restaurants les plus proches.

Derrière ces applications il y a un savoir-faire spécifique à la programmation sur plateformes mobiles. En effet, contrairement aux ordinateurs classiques, les contraintes imposées par les caractéristiques ces terminaux font que certains « gestes simples » pour l'utilisateur, comme faire dérouler une liste de données, impliquent en réalité des mécanismes plus complexes.

Ce MOOC est le premier d'une série de deux MOOCs consacrés à la programmation sur iPhone et iPad. Il se concentre sur le développement d'applications « mono-vues » et présente en détail les principes d'une interaction réussie de vos applications avec ses utilisateurs. Nous avons également décidé de prendre en compte les dernières nouveautés introduites dans iOS. Ainsi, ce MOOC, s'il évoque Objective-C, le langage « historique » de développement sur cette plateforme qu'il faut connaître, passera beaucoup de temps sur le nouveau langage Swift (dans sa version 3, annoncée en Septembre 2016 avec iOS10). Un parallèle avec la problématique du développement de systèmes embarqués est également fait.

L'objectif, si vous suivez attentivement ce cours et réalisez les exercices proposés, est de vous rendre autonomes dans la réalisation d'applications pour l'écosystème iOS (le dernier exercice est d'ailleurs un jeu d'adresse). Vous serez aussi capables de travailler non seulement dans l'environnement de  développement d'Apple mais aussi dans des environnements similaires. Les exercices sont réalisés sous iOS10, publié en septembre 2016. Nous recommandons donc l'usage de Xcode 8 ou ultérieur (accès gratuit sur le site d'Apple).

Ce cours est principalement destiné à des personnes maîtrisant déjà la programmation objet. Il est dérivé d'une unité d'enseignement de 5eme année (master 2) dispensée à l'Université Pierre et Marie Curie, le premier établissement universitaire à avoir proposé en France, en 1967, un diplôme d'informatique. Il tient également compte des nombreux retours des MOOCs qui se sont déroulés en 2014 et en 2015.

Si ce sujet vous intéresse, n'hésitez pas à vous inscrire et à venir nous suivre. J'ai reçu plusieurs témoignages d'anciens participants en 2014 et 2015 qui se sont réorientés vers la programmation mobile après avoir participé à l'une des éditions précédentes.

In this advanced math course, you will learn how to build solutions to important differential equations in physics and their asymptotic expansions. Armed with the tools mastered in this course, you will have a solid command of the methods of tackling differential equations and integrals encountered in theoretical and applied physics and material science.

The course is for engineering and physics majors. The course instructors are active researchers in theoretical solid-state physics.

This engineering course presents a broad multidisciplinary approach to understanding and manipulating the mechanical, electrical, optical and magnetic properties of materials.

Materials have always been the keystone of society, and they are playing an increasingly paramount role in our high-tech age. Correspondingly, materials scientists and engineers are highly valued and well-paid specialists.

The course content is closely related to chemical, mechanical, electrical, computing, and bio- and civil engineering. This course will provide key information about fundamental characteristics of a variety of materials including metals, ceramics, polymers, and electronic materials.  

Taught by professor Alexander Mukasian, who has decades of experience in various materials science and engineering areas, this course will provide the essential basis for an engineering education.

This course considers:

• How the physical properties of metals, ceramics polymers and composites are correlated with their internal structures (on atomic, molecular, crystalline, micro- and macro- scales) and operational conditions (mechanical, thermal, chemical, electrical and magnetic)
• How materials processing, e.g. mechanical working and heat treatment, affects their properties and performance.
• The latest achievements in Materials Science and Engineering

Basic knowledge in chemistry and physics is required.  

Polymer-based electronic devices are emerging in next-generation applications that range from advanced display designs to real-time biomedical monitoring. After ~30 years since the first report of a complete organic electronic device (i.e., the organic light-emitting diode), the polymer electronics community has reached a point where the fundamental knowledge of these unique semiconductors has allowed their utilization in key flexible and stretchable electronic applications that have been, or soon will be, commercialized.

In this course, you will gain an understanding of the basic principles and physics of these materials -- which operate in a manner that is distinctly different than traditional (e.g., silicon-based) semiconductors -- and quickly come up to speed in a paradigm-altering field.

In particular, this course will focus on the nanoscale phenomena regarding the physics of semiconducting polymers. This includes how molecular architecture impacts nanoscale structure (e.g., crystalline texture), optical properties, and electronic properties. You will learn to design new materials, consider structure/processing windows, and develop fundamental concepts regarding the physics of charged species in polymer electronics through participation in this course.

This programming course takes a unique approach, as it focuses on learning a systematic programming method rather than a programming language. This practical approach will help you channel your creativity so that you can program well in any language.

This course, part of the Software Development MicroMasters Program, presents a core design method with a focus on numbers, strings, images and lists.

You will learn techniques to:

• Develop program requirements
• Produce programs with consistent structure that are easy to modify later
• Make your programs more reliable by building tests as an integral part of the programming process.

This course concludes with the design of a simple interactive game.

Learners who enroll in the Verified track will receive staff grading for the course project and increased interaction with the instructor and staff.

Learner Testimonial

"I have taken and completed tens of MOOCs on programming and computer science, I have even been and I am currently a TA in some of these courses. Among them are a few that deserve without hesitation the highest rate. But if I had to choose only one at the top of them it would be these two courses on systematic program design." - edX Learner

Gain the leadership skills highly valued and needed to perform in the digital age with practical tools to use in real time, using workplace challenges you are currently experiencing.

This course, part of the Digital Leadership MicroMasters program, begins with a focus on the trends of the digital age and how they shape your industry, your organization and your career no matter what job or sector you work. We then focus on the capabilities needed to both successfully grow your own career and effectively lead individuals, teams and organizations.

Using current workplace challenges you will learn how to work within the digital age: developing unique skills to execute and innovate, build trust, lead virtual teams, collaborate, negotiate and managing conflict, adapt and learn from experience, and drive continuous change. 

You will learn about and practice skills such as:

• leveraging a network of relationships;
• using conflict to drive creativity;
• working across boundaries;
• coming to a common core purpose across competing agendas and metrics;
• leading change through experimentation and implementation.

No previous courses in leadership or organization behavior are required. We will begin the journey from where you are and will use innovative cases, assessments, simulations, etc.  Leadership is fun and so is the process we use to advance your capabilities. 

Underestimating project complexity is widely accepted as one of the major causes of project failure. Based on international benchmarking activities (Merrow, 2010), we know that an average of 40% of projects do not deliver what they promised; for megaprojects in the oil and gas industry this figure is even worse (Ernst&Young, 2014).

As with most external factors, many of the causes and consequences of complexity are difficult to avoid or control. When dealing with complexity, standard practices in the field of project management often overlook the inherent uncertainties linked to the length and scale of engineering and infrastructure projects and their constantly changing environments. The situation is exacerbated by rapidly evolving technologies and social change.

Attempts to overcome these challenges by simply trying to reduce their causes is not enough.

In this course, you will learn our approach to mastering complexity, focused on front-end development and teamwork, which will help you develop the skills you need to make timely actions in order to tackle complexities and improve your chances of project success. You will learn how to enhance your own capacities and capabilities by ensuring you have the necessary balance of complementary skills in your team.

Project success starts with recognizing the main drivers of complexity, which can be highly subjective and highly dynamic. In this course, you will learn to identify what makes a project complex and how to perform a complexity assessment.

Examining the elements of a project (such as interfaces, stakeholders, cultures, environment, technology, etc.) and their intricate interactions is key to mastering complexity.

You will analyze these elements in the context of your own project. Then, based on our complexity framework, you will identify the complexity footprint of your project and use it to adapt your management processes. With personalized guidance and feedback from our world-class instructors, you will learn how to recognize what competencies you need to develop and how to adapt your management style accordingly, not only to improve project performance but also to enhance your decision-making capacity.

This course has been designed by TU Delft’s international experts on Project Complexity, and is based on more than 60 years of practical experience as well as relevant research in the field. “We see projects still fail and there is a need to do things differently. That’s what this course is about: delivering the best practices for project execution based on our state-of-the-art research.” – Professor Hans Bakker.

Are you involved in the development and execution of technical projects and eager to know what it takes to fund a project successfully? Would you like to be more in touch with the latest developments in project finance and able to use these to your advantage? If so, you’re in the right place!

This course will provide you with the fundamental knowledge and necessary tools to create the optimum financing structure for your project and enhance its potential to attract funding.

The approach taken is both theoretically sound and practically relevant. This is achieved by using case studies to illustrate the topics, as well as assignments that give learners first-hand experience in what it takes to put together a financeable project.

At the end of the course, you’ll understand what is required to achieve successful project financing.

Those who work on infrastructure and industrial projects, especially, will need to have a good understanding of how project financing works and how project investors and lenders think and assess the risks of a project.

Projects are increasingly set up through cooperation between different groups of stakeholders such as Public Private Partnerships (PPPs). Project contracts are evolving to facilitate and structure such co-operations, which has in turn led to a range of novel contracts and methods of financing.

This course is a good enhancement course for learners who successfully completed the MOOC Project Management from DelftX. This course builds on the basic knowledge gained in that MOOC, but deals with the financing aspects in considerably more detail.

Addressing real customer needs is the core factor of managing innovation successfully. Exactly this is the task of the first stages of an innovation project, also called the Frontend of Innovation (FEI). In this course, you will learn about key concepts and methods of generating customer-centric business ideas and innovative concepts.

Often, the first stages of an innovation project are called "fuzzy", as they are considered to be less structured and less predictable. However, after studying this course, you will get a different perspective: The Frontend of Innovation indeed can be managed by skill and dedicated methods and does not need to rely on luck.

You’ll study sources of information on customer needs as well as different approaches to market research and customer co-creation. In addition, the course reviews the latest methods for generating market insights and how to turn them into promising concepts prior to entering the formal product development process.

You will learn screening activities and how to evaluate concepts based on concept testing with customers or rapid experimentation. This course will also connect theories of innovation and various models, explaining innovation success with actionable knowledge for industry practice.

Besides the online lectures, participants will engage in a series of individual and group exercises that will help deepen their understanding of the topic at hand. Real-life case studies and examples from companies will be used to help participants better prepare for actual situations. In addition, the concepts will be discussed in relation to their theoretical grounding in academic literature.

This course is part of the "Managing Technology & Innovation: How to deal with disruptive change" MicroMasters program designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential, you will need to earn a Verified Certificate in each of the six courses of the RWTHx MicroMasters program.

Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can effectively carry it out.

In this course, part of the Big Data MicroMasters program, you will learn how to apply computational thinking in data science. You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking.

You will also learn about data representation and analysis and the processes of cleaning, presenting, and visualizing data. You will develop skills in data-driven problem design and algorithms for big data.

The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models.

You will use tools such as R, MOA and data processing libraries in associated language environments.

Business innovation is nothing without great ideas. But creativity can be difficult to spark on a schedule. It requires a steady hand to manage the creative process and move it forward in a productive way.

This course focuses on ways to manage creativity effectively and introduces a flexible and iterative innovation management process model. You will learn how to navigate a new product concept through the development stage to launch and review.  

You’ll also be introduced to agile development principles and techniques for technical problem solving. You will learn how novel methods of open innovation enable your company to benefit from external knowledge and ideas.

Besides online lectures, participants will engage in a series of homework exercises and tutorials that will help deepen their understanding of the topic at hand. Real-life case studies and examples from companies will be used to help participants better prepare for actual situations. In addition, the concepts will be discussed in relation to their theoretical grounding in academic literature.

This course is part of the "Managing Technology & Innovation: How to deal with disruptive change" MicroMasters program designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential, you will need to earn a Verified Certificate in each of the six courses of the RWTHx MicroMasters program.

Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.

In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.

You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.

By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.

The most noteworthy startups and entrepreneurs of our day are known for bucking trends in business and leadership.

New ventures often position themselves in a way that forces their more established competitors to react and rethink the fundamentals of their original value proposition. The advantage of these new players often lies in a different management approach compared with large, more established companies.

You can learn to think like these innovators too.

From this course, you’ll better understand the typical process entrepreneurs follow when launching a new venture, thereby helping you to adequately respond to upcoming threats through newly established companies.

You’ll explore an entrepreneur’s perspective in comparison to a manager in a large company; working through the various stages of the entrepreneurial process.You’ll profile the entrepreneur as a personality type, exploring whether an entrepreneurial mindset is something that people inherently possess or something that can be developed over time. You’ll gain insights into the generation of business ideas and how leaders manage to ensure that their ideas also represent a concrete business opportunity with commercial potential.

The course introduces the decision-making process of successful entrepreneurs and specifies how it differs from that of managers in large companies, identifying common patterns. It further introduces the lean start-up process to give you a concrete toolkit applied by successful entrepreneurs and specific pitfalls that typically occur at various stages of the start-up process - to help you avoid similar mistakes.

Besides the online lectures, participants will engage in a series of homework exercises and tutorials. Real-life case studies and examples from companies will be used to help participants better prepare for actual situations.

This course is part of the "Managing Technology & Innovation: How to deal with disruptive change" MicroMasters program designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential, you will need to earn a Verified Certificate in each of the six courses of the RWTHx MicroMasters program.

Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.

In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Hadoop, R and MOA (Massive Online Analysis).

Topics covered in this course include:

• cloud-based big data analysis;
• predictive analytics, including probabilistic and statistical models;
• application of large-scale data analysis;
• analysis of problem space and data needs;
• understanding of ethical and social concerns of data mining.

By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.

The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project.

Working with organisations and stakeholders of your choice on a real-world dataset, you will further develop your data science skills and knowledge.

This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem.

This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability.

You’ll need to reflect on the nature of your data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management.

By communicating the knowledge, skills and ideas you have gained to other learners through online collaborative technologies, you will learn valuable communication skills, important for any career. You’ll also deliver a written oral presentation of your project design, plan, methodologies, and outcomes.

Engage in rigorous strategic analysis to complement your intuition with the deep insights needed to help your organization prosper in times of transition. This foundational course enables you to design effective strategy processes, spot fundamental market and technology changes in your industry and renew your organization’s internal resource base.

1. Unpacking the Process of Strategy:

• What precisely is strategy and why does it matter? What are the origins of the concept and how can we define it?
• What are the building blocks of strategy and how can they be arranged as a process?
• What distinct conceptions of the strategy process co-exist and what are their respective advantages and disadvantages?

2. Analyzing Industry Structures:

• What is the role of the industry and its structure for firm performance? How can we analyze industry structures?
• How can we unpack industries and identify the most attractive strategic positions to occupy therein?
• How do we identify what it takes to outcompete others in our strategic group?

3. Developing Internal Resources:

• Can firms succeed in generally unattractive industries? What is the role of firms’ internal resource base in this regard?
• How can we find out which resources and capabilities are likely to have the greatest strategic value?
• What are dynamic capabilities and how do they matter for firm survival and performance?

All key ideas are illustrated through a real-life case study on Tesla and its role in the technological transformation of the global automotive industry. 

This course is part of the "Managing Technology & Innovation: How to deal with disruptive change" MicroMasters program designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential, you will need to earn a Verified Certificate in each of the six courses of the RWTHx MicroMasters program.

Help your organization survive, drive, and thrive on fundamental technological changes in your industry. This advanced strategic management course helps you translate strategic insights into smart strategic decisions on positioning, partnering and being socially responsible.

1. Positioning the Firm:

• How can strategy portfolios guide corporate strategy and help decision-makers scope the activities of their organization?
• How can general strategies help organizations gain competitive advantages in their industries?
• How can organizations make competition irrelevant and create uncontested market space?

2. Orchestrating Strategic Alliances:

• What is the case for cooperative strategy? When should we move from a competitive to a cooperative mindset?
• What are strategic alliances and what is their payoff?
• How can firms build and orchestrate collaborative ecosystems to enhance their (innovative) performance?

3. Embracing Social Responsibility:

• What is the role of business in society? How do organizations contribute and cause harm to the public good?
• What exactly are the social responsibilities of organizations?
• To whom are they responsible and for what? Why should they care?
• How can ethics inform strategic decisions? How can we encourage ethical behavior and reconcile responsibility and profitability? 

All key ideas are illustrated through a case study on Tesla and its role in the technological transformation of the global automotive industry.

This course is part of the "Managing Technology & Innovation: How to deal with disruptive change" MicroMasters program designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential, you will need to earn a Verified Certificate in each of the six courses of the RWTHx MicroMasters program.

How do you create robots that operate well in the real world? Learn the key math concepts and tools used to design robots that excel in navigating our complex, unstructured world in environments such as aerospace, automotive, manufacturing and healthcare.

In this course, part of the Robotics MicroMasters program, you will learn how to apply concepts from linear algebra, geometry and group theory and the tools to configure and control the motion of manipulators and mobile robots.

You will also learn how to use MATLAB, the standard robotics programming environment and learn step by step how to use this mathematical tool to write functions, calculate vectors and produce visualizations. You will get hands on experience applying your knowledge to projects using various simulations in MATLAB.

In this course, you will learn the basics about Skype for Business server infrastructure.

You will learn how to plan a Skype for Business Server deployment, including planning for network readiness and namespaces. You will also learn how to install Skype for Business Server 2015, and how to upgrade from Lync Server to Skype for Business Server. You will also learn how to manage Skype for Business users and deploy and manage Skype for Business clients

This course is part of a series of three courses that will prepare you for 70-334 “Core Solutions of Microsoft Skype for Business 2015” exam.

Please note that the verified certificate option for this course is limited to 300 learners. The verified certificate option will close when this limit is reached.

Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s essential to understand how to choose the right data sets, algorithms, techniques and formats to solve a particular business problem.  

In this course, part of the Analytics: Essential Tools and Methods MicroMasters program, you’ll gain an intuitive understanding of fundamental models and methods of analytics and practice how to implement them using common industry tools like R.

You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox.

You will learn how to use statistical models and machine learning as well as models for:

• classification;
• clustering;
• change detection;
• data smoothing;
• validation;
• prediction;
• optimization;
• experimentation;
• decision making.