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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
- Resource Type:
- Courseware
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Courseware
Have you ever wondered what it takes to get your train on the right platform at the scheduled time every day? Understanding the complexity behind today’s sophisticated railway systems will give you a better insight into how this safe and reliable transportation system works. We will show you the many factors which are involved and how multiple people, behind the scenes, have a daily task that enables you to get from home to work. Journey with us into the world of rail – a complex system that connects people, cities and countries. Railway systems entail much more than a train and a track. They are based on advanced technical and operational solutions, dealing with continuously changing demands for more efficient transport for both passengers and freight every day. Each system consists of many components that must be properly integrated: from trains, tracks, stations, signaling and control systems, through monitoring, maintenance and the impact on cities, landscape and people. This integration is the big challenge and the source of many train delays, inconvenient connections and other issues that impact our society. This engineering course attempts to tackle those issues by introducing you to a holistic approach to railway systems engineering. You will learn how the system components depend on each other to create a reliable, efficient and state-of-the-art network.
- Subjects:
- Electrical Engineering and Transportation
- Keywords:
- Railroad engineering
- 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)
- Resource Type:
- Courseware
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Courseware
A transition to sustainable energy is needed for our climate and welfare. In this engineering course, you will learn how to assess the potential for energy reduction and the potential of renewable energy sources like wind, solar and biomass. You’ll learn how to integrate these sources in an energy system, like an electricity network and take an engineering approach to look for solutions and design a 100% sustainable energy system.
- Subjects:
- Electrical Engineering
- Keywords:
- Solar energy Renewable energy sources Biomass energy Wind power Sustainable development
- Resource Type:
- Courseware
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Courseware
The key factor in getting more efficient and cheaper solar energy panels is the advance in the development of photovoltaic cells. In this course you will learn how photovoltaic cells convert solar energy into useable electricity. You will also discover how to tackle potential loss mechanisms in solar cells. By understanding the semiconductor physics and optics involved, you will develop in-depth knowledge of how a photovoltaic cell works under different conditions. You will learn how to model all aspects of a working solar cell. For engineers and scientists working in the photovoltaic industry, this course is an absolute must to understand the opportunities for solar cell innovation.
- Subjects:
- Electrical Engineering
- Keywords:
- Solar energy Renewable energy sources Photovoltaic cells Photovoltaic power generation
- Resource Type:
- 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
- Resource Type:
- 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