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Affiliation
Delft University of Technology
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Year
2016
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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
In electrical engineering, solid-state materials and the properties play an essential role. A thorough understanding of the physics of metals, insulators and semiconductor materials is essential for designing new electronic devices and circuits. After short introduction of the IC fabrication process, the course starts with the crystallography. This will be followed by the basic principle of the quantum mechanics, the sold-state physics, band-structure and the relation with electrical properties of the solid-state materials. When the material physics has been throughly understood, the physics of the semiconductor device follows quite naturally and can be understood quickly and efficiently.
- Subjects:
- Physics and Electrical Engineering
- Keywords:
- Semiconductors Solid state physics Matter -- Properties
- Resource Type:
- Courseware
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Courseware
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.
- Subjects:
- Electrical Engineering
- Keywords:
- Signal processing
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- Courseware
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Courseware
An introductory course in analog circuit synthesis for microelectronic designers. Topics include: Review of analog design basics; linear and non-linear analog building blocks: harmonic oscillators, (static and dynamic) translinear circuits, wideband amplifiers, filters; physical layout for robust analog circuits; design of voltage sources ranging from simple voltage dividers to high-performance bandgaps, and current source implementations from a single resistor to high-quality references based on negative-feedback structures.
- Subjects:
- Electrical Engineering
- Keywords:
- Analog integrated circuits
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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
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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
- Resource Type:
- Courseware
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Courseware
The lectures are at a beginning graduate level and assume only basic familiarity with Functional Analysis and Probability Theory. Topics covered include: Random variables in Banach spaces: Gaussian random variables, contraction principles, Kahane-Khintchine inequality, Anderson’s inequality. Stochastic integration in Banach spaces I: γ-Radonifying operators, γ-boundedness, Brownian motion, Wiener stochastic integral. Stochastic evolution equations I: Linear stochastic evolution equations: existence and uniqueness, Hölder regularity. Stochastic integral in Banach spaces II: UMD spaces, decoupling inequalities, Itô stochastic integral. Stochastic evolution equations II: Nonlinear stochastic evolution equations: existence and uniqueness, Hölder regularity.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Stochastic partial differential equations Evolution equations
- Resource Type:
- Courseware
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Courseware
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
- Resource Type:
- Courseware
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Courseware
Quantum Information Processing aims at harnessing quantum physics to conceive and build devices that could dramatically exceed the capabilities of today’s “classical” computation and communication systems. In this course, we will introduce the basic concepts of this rapidly developing field.
- Subjects:
- Physics
- Keywords:
- Quantum computing Quantum theory -- Data processing
- Resource Type:
- Courseware