Students and professionals in science, design and technology have to develop and communicate concepts that are often difficult to comprehend for the public, their peers and even themselves.

IMAGE | ABILITY – Visualizing the Unimaginable, will help you enhance your communication and interpersonal skills and provide insight, tips and tricks to make such complex and seemingly unimaginable concepts and ideas imaginable.

After finishing this course you will be more skilled in finding the right visual language to convey your ideas, thoughts and vision. You will be able to illustrate units and quantities, concepts and themes and you will know how to unravel complexity by using diagrams and schemes.

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.

To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.

As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.

The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.

‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.

This course, AI in Practice: Preparing for AI, is the 1st course of the online education program AI in Practice. The course gives you a kaleidoscope of examples of applications of AI in various organizations, outlines the state of the art in modern AI research, and provides practical tools for integrating AI into your own organization. The program AI in Practice is built from two initial courses, AI in Practice: Preparing for AI and AI in Practice: Applying AI.

The AI in Practice: Preparing for AI course is designed for people who want to apply AI in their own practical situation.

For the experienced manager who wants to know what AI can do for her own organization.
For the data analyst or business consultant who wants to understand how AI can be applied in the business processes of the company for which they work.
For the student who wants to understand how the results of AI research can be translated into practical applications.

A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.

Building on Complex Adaptive Systems theory and basic Agent Based Modeling knowledge presented in SPM4530, the Advanced course will focus on the model development process. The students are expected to conceptualize, develop and verify a model during the course, individually or in a group. The modeling tasks will be, as much as possible, based on real life research problems, formulated by various research groups from within and outside the faculty.
Study Goals The main goal of the course is to learn how to form a modeling question, perform a system decomposition, conceptualize and formalize the system elements, implement and verify the simulation and validate an Agent Based Model of a socio-technical system.

Software testing gets a bad rap for being difficult, time-consuming, redundant, and above all – boring. But in fact, it is a proven way to ensure that your software will work flawlessly and can meet release schedules.

In a two-course series, we will teach you automated software testing in an inspiring way. We will show you that testing is not as daunting a task as you might think, and how automated testing will make you a better developer who programs excellent software.

This second course builds upon the first course’s material. It covers more advanced tools and techniques and their applications, now utilizing more than just JUnit. Key topics include Test-Driven Development, state-based and web testing, combinatorial testing, mutation testing, static analysis tools, and property-based testing.

This is a highly practical course. Throughout the lessons, you will test various programs by means of different techniques. By the end, you will be able to choose the best testing strategies for different projects.

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

assess their current situation regarding potential big data-induced changes of a disruptive nature,
identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
strengthen their own position and that of their organization in our digitalized knowledge economy
The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

The course Bio-Inspired Design gives an overview of non-conventional mechanical approaches in nature and shows how this knowledge can lead to more creativity in mechanical design and to better (simpler, smaller, more robust) solutions than with conventional technology. The course discusses a large number of biological organisms with smart constructions, unusual mechanisms or clever sensing and processing methods and presents a number of technical examples and designs of bio-inspired instruments and machines.

Urban design, inequality and segregation are strongly connected.

Cities around the world, from the Global South to the Global North, are facing a rise in inequality and socio-economic segregation. The wealthy are increasingly concentrating in the most attractive urban areas and poverty is spreading to the suburbs. Rising levels of segregation have major consequences for the social sustainability of cities and leads to unequal life opportunities depending on where in the city you live.

In this course, aimed at a broad range of professionals, from urban planners and architects to geographers, you will learn what the main drivers and indicators of urban inequality and segregation are, using examples from cities from all over the world. You will learn how segregation is measured, how to interpret the results of the analyses of segregation and how to relate these insights to urban design. With this knowledge, you will be able to analyze how these issues may be affecting your local environment.

Additionally, we will present some historical examples of how urban design has played a role shaping spatial inequality and segregation in a selection of case study cities. This will help you to get a better understanding of how urban design can reduce spatial inequality and segregation.

The course is taught by the editors of the new SpringerOpen book “Urban socio-economic segregation and income inequality. A global perspective” and senior experts from the Urban Design section of TU Delft, which is ranked number 2 in the QS World University Rankings in the field of Architecture.

The book presents a coherent theory of building information, focusing on its representation and management in the digital era. It addresses issues such as the information explosion and the structure of analogue building representations to propose a parsimonious approach to the deployment and utilization of symbolic digital technologies like BIM. It also considers the matching representation of AECO processes in terms of tasks, so as to connect to information processing and support both information management and decision taking.

Building construction is one of the most waste producing sectors. In the European Union, construction alone accounts for approximately 30% of the raw material input. In addition, the different life-cycle stages of buildings, from construction to end-of-life, cause a significant environmental impact related to energy consumption, waste generation and direct and indirect greenhouse gas emissions.

The Circular Economy model offers guidelines and principles for promoting more sustainable building construction and reducing the impact on our environment. If you are interested in taking your first steps in transitioning to a more sustainable manner of construction, then this course is for you!

In this course you will become familiar with circularity as a systemic, multi-disciplinary approach, concerned with the different scales, from material to product, building, city, and region.

Some aspects of circularity that will be included in this course are maximizing reuse and recycle levels by closing the material loops. You will also learn how the Circular Economy can help to realign business incentives in supply chains, and how consumers can be engaged and contribute to the transition through new business models enabling circular design, reuse, repair, remanufacturing and recycling of building components.

In addition, you will learn how architecture and urban design can be adapted according to the principles of the Circular Economy and ensure that construction is more sustainable. You will also learn from case studies how companies already profitably incorporate this new theory into the design, construction and operation of the built environment.

Around the world, major challenges of our time such as population growth and climate change are being addressed in cities. Here, citizens play an important role amidst governments, companies, NGOs and researchers in creating social, technological and political innovations for achieving sustainability.

Citizens can be co-creators of sustainable cities when they engage in city politics or in the design of the urban environment and its technologies and infrastructure. In addition, citizens influence and are influenced by the technologies and systems that they use every day. Sustainability is thus a result of the interplay between technology, policy and people’s daily lives. Understanding this interplay is essential for creating sustainable cities. In this MOOC, we zoom in on Amsterdam, Beijing, Ho Chi Minh City, Nairobi, Kampala and Suzhou as living labs for exploring the dynamics of co-creation for sustainable cities worldwide. We will address topics such as participative democracy and legitimacy, ICTs and big data, infrastructure and technology, and SMART technologies in daily life.

In this course you will learn how to ensure good indoor thermal comfort and air quality, and how these factors relate to building design and to buildings’ energy systems. Comfort complaints mean user dissatisfaction, which in turn means delays and resistance to accept technologies needed for low carbon emission buildings. So if you want to discover what to pay attention to in your energy designs, or in designing new concepts for sustainable buildings, this course is for you.

This economics course provides an introduction to the field of cybersecurity through the lens of economic principles. Delivered by four leading research teams, it will provide you with the economic concepts, measurement approaches and data analytics to make better security and IT decisions, as well as understand the forces that shape the security decisions of other actors in the ecosystem of information goods and services.

Systems often fail because the organizations that defend them do not bear the full costs of failure. In order to solve the problems of growing vulnerability to computer hackers and increasing crime, solutions must coherently allocate responsibilities and liabilities so that the parties in a position to fix problems have an incentive to do so. This requires a technical comprehension of security threats combined with an economic perspective to uncover the strategies employed by cyber hackers, attackers and defenders.

In an increasingly data-driven world, data and its use aren’t always all it’s cracked up to be. This course aims to address the critical lack of any or appropriate data in many areas where complex decisions need to be made.

For instance, how can you predict volcano activity when no eruptions have been recorded over a long period of time? Or how can you predict how many people will be resistant to antibiotics in a country where there is no available data at national level? Or how about estimating the time needed to evacuate people in flood risk areas?

In situations like these, expert opinions are needed to address complex decision-making problems. This course, aimed at researchers and professionals from any academic background, will show you how expert opinion can be used for uncertainty quantification in a rigorous manner.

Various techniques are used in practice. They vary from the informal and undocumented opinion of one expert to a fully documented and formal elicitation of a panel of experts, whose uncertainty assessments can be aggregated to provide support for complex decision making.

In this course you will be introduced to state-of-the-art expert judgment methods, particularly the Classical Model (CM) or Cooke’s method, which is arguably the most rigorous method for performing Structured Expert Judgment.

CM, developed at TU Delft by Roger Cooke, has been successfully applied for over 30 years in areas as diverse as climate change, disaster management, epidemiology, public and global health, ecology, aeronautics/aerospace, nuclear safety, environment and ecology, engineering and many others.

Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

Are you a design practitioner eager to become more strategic? Are you a business professional who wants to become more innovative? In this course, made by the world’s first strategic design school, you’ll follow the lead of big successful companies who already create new business opportunities and spark innovation by practicing design.

This course will introduce you to a hands-on design approach for finding new business opportunities. You will experience first-hand how design can be of value for your organisation. You’ll be challenged to create your own concepts that generate new business opportunities.

This course is produced by the same team that created the Strategic Product Design master programme at TU Delft, one of the oldest and most established programmes of strategic design in the world. Moreover, industry experts will help bridging design practice and business theory in a way that is unique in the present educational landscape.

MAIN AIMS OF THE MODULE: To achieve an understanding and practical experience of key principles, methods and theories in the area of educational software.
LEARNING OUTCOMES FOR THE MODULE: The module provides opportunities for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
1) Obtain understand of major learning principles, theories, and approaches
2. Identify key factors of successful educational software design and deployment.
3) Apply theories, principles, and approached into an appropriate design of educational software system.
4) Establish an appreciation of state-of-art developments in the area of educational software design.
MAIN TOPICS OF STUDY: The main topics of study considered in light of the above learning outcomes are: ‰ Educational Principles Design of educational software such as electronic instruction manuals, serious gaming, VR training, drills, and tutor agents and tutorials ‰Educational software for specific learners such as children, elderly, mentally or physically challenged individuals ‰CEvaluation of education software.

In this course you will start by identifying the different steps a HVAC (Heating, Ventilation and Air Conditioning) engineers need to follow to come to a proper design while collaborating with the architect.

You will then learn how to distribute heat and cold using air and water systems, what temperature levels to use in both and how that relates to the type of energy supply and to the thermal quality of the building construction. You will further deepen your knowledge on air handling units and how to humidify and dehumidify air when needed and what that does mean for the energy consumption. As ventilation systems are often responsible for local thermal discomfort, you will also discover how different distribution systems lead to different comfort experiences and different indoor air qualities and you will know which simple control techniques can be applied.

Finally you will study a modern complex system consisting of an aquifer thermal storage, heat pump, boiler, solar collector, PV-cells, air handling unit, water and air distribution systems. This will allow you to develop skills to catch the complexity of such HVAC systems and to understand the basic rules of how to control them to get the best out of them and how to use data from the Building Energy Management System to help you in this task.