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.

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

This course is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!

Using video lectures and hands-on exercises, we will teach you cutting-edge techniques and best practices that will boost your data analysis and visualization skills.

This course has been awarded with the Wharton-QS gold education award in the category Regional awards Europe.
We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs – all those will be covered in the first weeks of the course. After that, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.

Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.

This course is created using Excel 2013 and Windows. Most assignments can be made using another spreadsheet program and operating system as well, but we cannot offer full support for all configurations.

Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?

If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.

If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. We encourage you to use your own data in this course but if not available, the course team can provide.

These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

In this course you will learn to deal effectively with conflicts of interests, whistle blowing, confidentiality issues and other ethical dilemmas in engineering that can jeopardize your business and your career.

Every engineer will face ethical challenges during his or her career. These may include conflicts of interests and entail the need to expose potential negative effects of the products or technologies under development. This course will provide a practical framework for dealing with such situations.

Besides analysing professional rules of conduct and practical case studies, participants will have the chance to analyse their own cases or experiences, thus promoting reflection and practical application rather than just theory.

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.

In our daily lives we use hundreds or even thousands of products and services. They are all designed, some with more success than others. The ‘Delft Design Approach’ is a structured approach that helps designers to tackle complex design challenges: from formulating a strategic vision, to mapping user behaviors, their needs and their environment, to developing and selecting meaningful proposals for products and services.

DDA691x offers a college-level introduction to the Delft Design Approach through lectures and exercises on design fundamentals and 6 methods. You will understand basic models and concepts that underlie the Delft approach. You will also develop the capability to use 6 basic methods in a design context. You will do so by applying the methods to realistic design challenges and by reflecting on your own performance by comparing it to that of expert designers as well as through peer discussion.

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.

In this course you will learn about the different experiences patients go through in a medical context. The patient journey explores the interaction between the patient and the healthcare providers in all stages of the disease; coping with treatment and dealing with expectations, and interaction with and between different stakeholders.

This course will give designers and specialists in healthcare the knowledge, insights and tools to be able to analyze and improve patient experience. You will learn how to map complex healthcare scenarios, pinpoint opportunities and create hands-on solutions aimed at improving the patient experience.

This course is an introduction to patient journey mapping; developed at the Delft University of Technology and applied in improvement of care pathway. Step-by-step, the course visualizes the different stakeholders, phases and actions involved in patient treatment. You will be challenged to pursue new insights and given unique opportunities to learn, observe and question patients and medical professionals, with the opportunity to attend a live broadcasted, interactive surgery.

Dredging equipment, mechanical dredgers, hydraulic dredgers, boundary conditions, design criteria, instrumentation and automation.

The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

Het vak Digitale Systemen laat de eerstejaarsstudent kennis maken met de verscheidenheid aan specificatietechnieken en synthese bij het ontwerp van digitale systemen. Onderwerpen die worden behandeld zijn o.a.: getalstelsels, Booleaanse algebra, 2-level en multi-level netwerken, minimalisatietechnieken/tools, timing, hazards; sequentiële systemen, Moore/Mealy machines, FSM; specificatie, modellering, simulatie en synthese m.b.v. VHDL; datapad besturingsmodel, synthesemethodieken en tools, realisatie m.b.v. FPGAs.

The course focuses on three main dredging processes: the cutting of sand, clay and rock, the sedimentation process in hopper dredges and the breaching process

The purpose of this course is to convey knowledge of the various physical processes associated with slurry handling and transport during dredging. This knowledge is needed for the design of dredging equipment and for planning efficient equipment operations. The various processes are discussed and theories and simulation models that describe the processes are presented and compared during the course. The course can be broken down into four elements: 1. Pumps and engines a. Pump characteristics and cavitation b. Influence of particles on pump characteristics. 2. Hydraulic transport in pipelines a. Two-phase (solid-liquid) flow through pipelines b. Newtonian slurries c. Non Newtonian slurries d. Inclined and long pipelines. 3. Pump and pipeline systems a. Operation point and areas b. Production factors. 4. Case studies

The course provides the technological background of treatment processes applied for production of drinking water. Treatment processes are demonstrated with laboratory experiments.

This course deals with the design of drinking water treatment plants. We discuss theory and design exercises.

Deze cursus biedt inzicht in besluitvorming en bedrijfsvoering op inleidend niveau; en biedt inzicht in de basisbegrippen van de micro- en markteconomie; Na het volgen van deze module kunt u: 1)basisbegrippen en theorieĚÇn van de micro- en markteconomie toelichten; 2)belangrijke concepten en theorieĚÇn toepassen op eenvoudige situaties; 3)elementen uit de discipline herkennen in concrete voorbeelden van besluitvorming en management

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.

As an engineer in a leadership position, you will be faced with new responsibilities and tasks. These may include developing a business (unit) strategy and a business plan and being involved in strategic planning. Your success in dealing with these new responsibilities will largely depend on your ability to have a helicopter view of a situation and to make sound decisions. In order to make decsions to move your organization forward, leaders will need to ensure that business goals are achievable and well-balanced while also taking into account the uncertainty of future developments. In a complex business environment, a sound strategy is the result of applying a strategic mindset and systematic approach to decision making.

This course will help you in building and applying an analytical toolkit, including:

scenario analysis
stakeholder analysis
goal analysis
multi-criteria decision analysis
The focus of the course will be on utilizing your analytical skills in a business context, allowing you to unravel complex decision situations to formulate a sound business strategy.