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Exploration of space is never out of the news for long and the desire to construct lower-cost, reliable and more capable spacecraft has never been greater. At TU Delft years of technology development and research experience in space engineering allow us to offer this course, which examines spacecraft technologies for satellites and launch vehicles. This course provides: - knowledge of the technical principles of rockets and satellite bus subsystems; - the ability to select state-of-the-art, available components; - analysis of the physical and technical limitations of subsystem components; - identification of the key performance parameters of different spacecraft subsystems; - comparison of the values obtained by ideal theory and real-life ones; - opportunity to make preliminary designs for a spacecraft based on its key requirements. Other spacecraft types, such as interplanetary rovers, are not covered in this course. Spacecraft instrumentation and other payloads are also not covered.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Space vehicles
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- Courseware
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Courseware
Computability Theory deals with one of the most fundamental questions in computer science: What is computing and what are the limits of what a computer can compute? Or, formulated differently: “What kind of problems can be algorithmically solved?” During the course this question will be studied. Firstly, the notion of algorithm or computing will be made precise by using the mathematical model of a Turing machine. Secondly, it will be shown that basic issues in computer science, like “Given a program P does it halt for any input x?” or “Given two program P and Q, are they equivalent?” cannot be solved by any Turing machine. This shows that there exist problems that are impossible to solve with a computer, the so-called “undecidable problems”. The book is in English, the recorded lectures and slides however, are in Dutch
- Subjects:
- Computing
- Keywords:
- Machine theory Computational complexity Computable functions
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- Courseware
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Courseware
Imagine that you are a bank and a main part of your daily business is to lend money. Unfortunately, lending money is a risky business – there is no 100% guarantee that you will get all your money back. If the borrower defaults, you will face losses in your portfolio. Or, in a bit less extreme scenario, if the credit quality of your counterparty deteriorates according to some rating system, the loan will become more risky. These are typical situations in which credit risk manifests itself. According to the Basel Accord, a global regulation framework for financial institutions, credit risk is one of the three fundamental risks a bank or any other regulated financial institution has to face when operating in the markets (the two other risks being market risk and operational risk). As the 2008 financial crisis has shown us, a correct understanding of credit risk and the ability to manage it are fundamental in today’s world. This course offers you an introduction to credit risk modelling and hedging. We will approach credit risk from the point of view of banks, but most of the tools and models we will overview can be beneficial at the corporate level as well. At the end of the course, you will be able to understand and correctly use the basic tools of credit risk management, both from a theoretical and, most of all, a practical point of view. This will be a quite unconventional course. For each methodology, we will analyse its strengths as well as its weaknesses. We will do this in a rigorous way, but also with fun: there is no need to be boring.
- Subjects:
- Management and Finance
- Keywords:
- Risk management Financial institutions Asset-liability management Bank loans -- Management Banks banking Credit analysis
- Resource Type:
- Courseware
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Courseware
Broadly speaking, functional programming is a style of programming in which the primary method of computation is the application of functions to arguments. Among other features, functional languages offer a compact notation for writing programs, powerful abstraction methods for structuring programs, and a simple mathematical basis that supports reasoning about programs. Functional languages represent the leading edge of programming language design, and the primary setting in which new programming concepts are introduced and studied. All contemporary programming languages such as Hack/PHP, C#, Visual Basic, F#, C++, JavaScript, Python, Ruby, Java, Scala, Clojure, Groovy, Racket, … support higher-order programming via the concept of closures or lambda expressions. This course will use Haskell as the medium for understanding the basic principles of functional programming. While the specific language isn’t all that important, Haskell is a pure functional language so it is entirely appropriate for learning the essential ingredients of programming using mathematical functions. It is also a relatively small language, and hence it should be easy for you to get up to speed with Haskell. Once you understand the Why, What and How that underlies pure functional programming and learned to “think like a fundamentalist”, we will apply the concepts of functional programming to “code like a hacker” in mainstream programming languages, using Facebook’s novel Hack language as our main example. This course assumes no prior knowledge of functional programming, but assumes you have at least one year of programming experience in a regular programming language such as Java, .NET, Javascript or PHP.
- Subjects:
- Computing
- Keywords:
- Haskell (Computer program language) Functional programming (Computer science)
- Resource Type:
- Courseware
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Courseware
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.
- Subjects:
- Computing
- Keywords:
- Visual analytics Information visualization Industrial management -- Data processing Dashboards (Management information systems)
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- Courseware
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Courseware
In the third edition of Solar Energy, you will learn to design a complete photovoltaic system. This course introduces the technology that converts solar energy into electricity, heat and solar fuels with a main focus on electricity generation. Photovoltaic (PV) devices are presented as advanced semiconductor devices that deliver electricity directly from sunlight. The emphasis is on understanding the working principle of a solar cell, fabrication of solar cells, PV module construction and the design of a PV system. You will gain a greater understanding of the principles of the photovoltaic conversion- the conversion of light into electricity. This course explores the advantages, limitations and challenges of different solar cell technologies, such as crystalline silicon solar cell technology, thin film solar cell technologies and the latest novel solar cell concepts as studied on lab-scale. We will discuss the specifications of solar modules and demonstrate how to design a complete solar system for any particular application.
- Subjects:
- Electrical Engineering
- Keywords:
- Solar cells Solar energy Photovoltaic power systems
- Resource Type:
- Courseware
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Courseware
The course gives an overview of different types of electrical machines and drives. Different types of mechanica loads are discussed. Maxwell’s equations are applied to magnetic circuits including permanent magnets. DC machines, induction machines, synchronous machines, switched reluctance machines, brushless DC machines and single-phase machines are discussed with the power electronic converters used to drive them.
- Subjects:
- Electrical Engineering
- Keywords:
- Electric driving Electric machinery
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- Courseware
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Courseware
The purpose of this course is to learn how to specify the behavior of embedded systems and to experience the design of a provably correct system. In this course you will learn how to formally specify requirements and to prove (or disprove) them on the behaviour. With a practical assignment you will experience how to apply the techniques in practice.
- Subjects:
- Computing
- Keywords:
- Embedded computer systems
- Resource Type:
- Courseware
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Courseware
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. You will learn: - How to make data come to life with well-known types of visualizations such as line and bar graphs and new types of visualizations such as spark lines, contour plots and population pyramids. - How to create dashboards in Excel based on live data that can meet managerial and business needs. - How to connect data from different sources, such as the web and exports from your CRM, ERP, SAP or data warehouse. - Some hands-on data science and how to use actionable analysis tools. - Deep dive into known tools like PivotTables and introduce new ones like the analysis toolpak
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Courseware
This course is a basic course on Instrumentation and Measurement. Firstly, the detection limit in a typical instrument for measurement of an electrical quantity is determined for: offset, finite common-mode rejection, noise and interference. The dominant source of uncertainty is identified and the equivalent input voltage/current sources are calculated. Secondly, the measurement of a non-electrical quantity is discussed. In this case the detection limit should be expressed in terms of the non-electrical input parameter of interest. Issues discussed are: (cross-)sensitivities in frequently used transduction effects, non-electrical source loading and noise in the non-electrical signal domain. Coupled domain formal modeling is subsequently introduced to facilitate analytical multi-domain system analysis. Finally, the detection limit in typical applications in the mechanical, thermal, optical and magnetic signal domain are analysed, along with circuit and system techniques to maximize overall system detectivity. The tools that are introduced in the course, such as the formal modeling and the calculation of the detection limit, are applied in the mid-term project to a real-world measurement problem.
- Subjects:
- Electrical Engineering
- Keywords:
- Electronic instruments Electronic measurements
- Resource Type:
- Courseware