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.

An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course - bits, signals, and packets - cover three corresponding layers of abstraction that form the basis of communication systems like the Internet. The course teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.

This course is an introductory subject in the field of electric power systems and electrical to mechanical energy conversion. Electric power has become increasingly important as a way of transmitting and transforming energy in industrial, military and transportation uses. Electric power systems are also at the heart of alternative energy systems, including wind and solar electric, geothermal and small scale hydroelectric generation.

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.

These notes are intended to provide a brief, noncomprehensive introduction to GNU Octave, a free open source alternative to MatLab. The basic syntax and usage is explained through concrete examples from the mathematics courses a math, computer science, or engineering major encounters in the first two years of college: linear algebra, calculus, and differential equations.

During this course, we will be exploring basic questions of architecture through several short design exercises. Working with many different media, students will discover the interrelationship of architecture and its related disciplines, such as structures, sustainability, architectural history and the visual arts. Each problem will focus on one of these disciplines and one exploration and presentation technique.

Basic elements of intelligent transportation systems. Technological, systems, and institutional aspects of ITS considered, including system architecture, congestion pricing, public/private partnerships, network models, ITS as industrial policy, and implementation case studies. Intelligent Transportation Systems (ITS) represent a major transition in transportation on many dimensions. This course considers ITS as a lens through which one can view many transportation and societal issues. ITS is an international program intended to improve the effectiveness and efficiency of surface transportation systems through advanced technologies in information systems, communications, and sensors. In the United States, ITS represents the major post-Interstate-era program for advancing surface transportation in highways and public transportation, and is potentially comparable to the air traffic control system in impact.

The general minimum prerequisite for understanding this book is the intellectual matur­ity of a junior-level (third-year) college student in an accredited four-year engineering curriculum. A mathematical second-order system is represented in this book primarily by a single second-order ODE, not in the state-space form by a pair of coupled first-order ODEs. Similarly, a two-degrees-of-freedom (fourth-order) system is represented by two coupled second-order ODEs, not in the state-space form by four coupled first-order ODEs. The book does not use bond graph modeling, the general and powerful, but complicated, modern tool for analysis of complex, multidisciplinary dynamic systems. The homework problems at the ends of chapters are very important to the learning objectives, so the author attempted to compose problems of practical interest and to make the problem statements as clear, correct, and unambiguous as possible. A major focus of the book is computer calculation of system characteristics and responses and graphical display of results, with use of basic (not advanced) MATLAB commands and programs. The book includes many examples and homework problems relevant to aerospace engineering, among which are rolling dynamics of flight vehicles, spacecraft actuators, aerospace motion sensors, and aeroelasticity. There are also several examples and homework problems illustrating and validating theory by using measured data to identify first- and second-order system dynamic characteristics based on mathematical models (e.g., time constants and natural frequencies), and system basic properties (e.g., mass, stiffness, and damping). Applications of real and simulated experimental data appear in many homework problems. The book contains somewhat more material than can be covered during a single standard college semester, so an instructor who wishes to use this as a one-semester course textbook should not attempt to cover the entire book, but instead should cover only those parts that are most relevant to the course objectives.

This subject provides an introduction to modeling and simulation, covering continuum methods, atomistic and molecular simulation, and quantum mechanics. Hands-on training is provided in the fundamentals and applications of these methods to key engineering problems. The lectures provide exposure to areas of application based on the scientific exploitation of the power of computation. We use web based applets for simulations, thus extensive programming skills are not required.

College-level electrical engineering course highlighting numerical analysis for engineers. This course introduces students to the formulation, methodology, and techniques for numerical solution of engineering problems. Course features include suggested readings, lecture notes, assignment problems, and exams with solutions.

This first general textbook An introduction to ontology engineering has as main aim to provide the reader with a comprehensive introductory overview of ontology engineering. A secondary aim is to provide hands-on experience in ontology development that illustrate the theory.

This course presents aerospace propulsive devices as systems, with functional requirements and engineering and environmental limitations along with requirements and limitations that constrain design choices. Both air-breathing and rocket engines are covered, at a level which enables rational integration of the propulsive system into an overall vehicle design. Mission analysis, fundamental performance relations, and exemplary design solutions are presented.

This set of 10 lectures (about 11+ hours in duration) was excerpted from a three-day course developed at MIT Lincoln Laboratory to provide an understanding of radar systems concepts and technologies to military officers and DoD civilians involved in radar systems development, acquisition, and related fields. That three-day program consists of a mixture of lectures, demonstrations, laboratory sessions, and tours.

This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.

Groningen, a province in the northeast of the Netherlands, is experiencing earthquakes due to the extraction of gas. This phenomenon is called induced seismicity. But what is induced seismicity? And how can the risk to life safety and the consequences for the built environment be reduced? The Groningen situation is unique and for this reason, solutions for the built environment cannot simply be copied from abroad. To contribute to a basic understanding of the various topics in this field, knowledge lectures have been developed as Open Course Ware by a large number of scientists and practitioners.

This Open Course Ware is initiated by TU Delft in cooperation with Arup, TU Eindhoven and TNO. This public and private initiative combines engineering, architecture and management perspectives. The 30 video lectures provide conceptual knowledge of seismicity and basic seismic concepts. This knowledge is then related to the different structures and their behaviour under seismic loading. Finally, in the last theme more procedural knowledge will be outlined, related to the multidisciplinary challenges in Groningen.

Frameworks and Models for Technology and Policy students explore perspectives in the policy process -- agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises for Technology and Policy students include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership. This course explores perspectives in the policy process - agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership.

Water is essential for life on earth and of crucial importance for society. Also within our climate water plays a major role. The natural cycle of ocean to atmosphere, by precipitation back to earth and by rivers and aquifers to the oceans has a decisive impact on regional and global climate patterns.

This course will cover six main topics:

Global water cycle. In this module you will learn to explain the different processes of the global water cycle.
Water systems. In this module you will learn to describe the flows of water and sand in different riverine, coastal and ocean systems.
Water and climate change. In this module you will learn to identify mechanisms of climate change and you will learn to explain the interplay of climate change, sea level, clouds, rainfall and future weather.
Interventions. In this module you will learn to explain why, when and which engineering interventions are needed in rivers, coast and urban environment.
Water resource management. In this module you will learn to explain why water for food and water for cities are the main challenges in water management and what the possibilities and limitations of reservoirs and groundwater are to improve water availability.
Challenges. In this module you will learn to explain the challenges in better understanding and adapting to the impact of climate change on water for the coming 50 years.

This is a laboratory manual covering AC electrical circuits, typically a first year course for students in an Electrical Engineering Technology program (AAS or BS). It begins with basic RL and RC circuits and progresses through phasors to AC series, parallel and series-parallel circuits. Includes exercises involving Superposition, Thevenin's Theorem, Maximum Power Transfer Theorem, and series and parallel resonance.

This is a laboratory manual covering DC electrical circuits, typically a first year course for students in an Electrical Engineering Technology program. It begins with basic lab introduction and progresses through Ohm's Law to series, parallel and series-parallel circuits. Includes exercises involving Superposition, Thevenin's Theorem, Mesh and Nodal Analysis, Maximum Power Transfer and concludes with an introduction to capacitors and inductors.

This is a laboratory manual covering embedded controllers, appropriate for students in an Electrical Engineering Technology program (AAS or BS). It begins with an explanation of the C programming language and uses the Arduino platform for embedded programming. Exercises range from simple switch sensing to a direct digital synthesis waveform generator.