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Zoekresultaten (25)

HBO/WO

MBO

6 juni 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr

1 december 2020

Agent Based Modeling for Resilience

This resource is intended for the following purposes: To raise awareness among students on why you should analyze your (Agent Based) model, and provides some tools on how to do this To use sensitivity analysis to quantify resilience. This tutorial is intended as part of a larger course on Agent Based Modelling and/or modelling for resilience, but may also be useful as a stand-alone module given a certain background of the participants. It consists of three parts dealing with some basic methodologies for analyzing an Agent Based Model and interpreting the results, with some focus on a resilience context. This tutorial contains 3 parts, including an overview including detailed learning objectives. Part 1: Tutorial R for NetLogo Part 2: Model analysis Part 3: Quantifying resilience

Document

George van Voorn, Guus ten Broeke

7 maart 2021

Tutorial Part 2. Introduction to sensitivity analysis with agent-based modeling

This resources includes: Docx-file for tutorial part 2 Folder with r- and data-files for the tutorial part 2.

Document

George van Voorn, Guus ten Broeke

1 september 2020

Introduction to Financial Derivatives

Financial derivatives are widely used as instruments to modify exposures to various types of financial risk. Examples include call options on a stock index, interest rate derivatives such as swaptions, and credit derivatives. The theory of financial derivatives, as it has been developed in recent decades, is based on a mix of economic ideas and concepts from mathematics. The material in this Open Press textbook originates from notes for a course that the author has taught at Tilburg University for more than ten years, as part of the MSc program in Quantitative Finance and Actuarial Science. The text aims to provide students with an introduction to continuous-time models that are used to analyze derivative contracts in finance and insurance. Users are expected to have a solid background in standard calculus, linear algebra, and probability; prior experience with stochastic calculus, however, is not a prerequisite.

Open (Access) Tekst Boek

Johannes M. Schumacher

12 september 2021

Business Process Simulation: Lecture 2: Conceptual model main elements

Simulation is one of the most widely used operations research and management science techniques. Simulation is a decision technique that is knowledge-intensive, data-intensive, model-intensive and software tool intensive. Simulation is a good tool in situations where analytical mathematical techniques such as queueing theory are not precise enough. In this collection, we will focus on how to use simulation to analyse, evaluate and improve the performance of business processes. In this resource we focus on the third steps of the DES simulation methodology. The resource consists of the following 6 short clips: conceptual model: main elements Simple queing system: transition specifications How does simulation work? Petrol station example and manual simulation Additional examples These resources are a part of the course: Business Process Simulation (TU/E)

Document

Laura Genga

31 augustus 2023

Numerical Methods in Scientific Computing

This is a book about numerically solving partial differential equations occurring in technical and physical contexts and the authors have set themselves a more ambitious target than to just talk about the numerics. Their aim is to show the place of numerical solutions in the general modeling process and this must inevitably lead to considerations about modeling itself. Partial differential equations usually are a consequence of applying first principles to a technical or physical problem at hand. That means, that most of the time the physics also have to be taken into account especially for validation of the numerical solution obtained. This book aims especially at engineers and scientists who have ’real world’ problems. It will concern itself less with pesky mathematical detail. For the interested reader though, we have included sections on mathematical theory to provide the necessary mathematical background. Since this treatment had to be on the superficial side we have provided further reference to the literature where necessary.

Open (Access) Tekst Boek

Jos van Kan, Guus Segal, Fred Vermolen

22 april 2024

From theORy to application: learning to optimize with Operations Research in an interactive way

This book serves as a comprehensive roadmap for navigating the realm of Operations Research (OR). From laying down fundamental mathematical principles to crafting precise modeling techniques and their solution methods, it culminates in a panoramic view of OR models mirroring real-world operations. Delving into diverse applications-from assignment problems to network problems like graph coloring and minimum spanning trees, and navigating through routing problems that are very common in logistics-the book equips readers with practical insights. Each model is accompanied by meticulously detailed examples, seamlessly integrated with hyperlinked codes accessible via an open repository. Moreover, it introduces an engaging dimension with hyperlinks to three serious games replicating some cornerstone OR models, offering a playful yet educational environment for solo or group experimentation.

Open (Access) Tekst Boek

Alessandro Bombelli, Bilge Atasoy, Stefano Fazi, Doris Boschma

2 juli 2021

Business Process Management: Lecture on Organisational Resilience

In this resource we provide a quick introduction on the concept of organizational resilience and motivate the use of BPM approaches as a support tool to implement such a concept. The resource consists of a single clip and should be intended as an introduction the ''Process Identification'' and "Process Discovery" resources

Video

Laura Genga

19 augustus 2021

Business Process Simulation: Lecture 1: Introduction to Simulation

Simulation is one of the most widely used operations research and management science techniques. Simulation is a decision technique that is knowledge-intensive, data-intensive, model-intensive and software-tool intensive. Simulation is a good tool in situations where analytical mathematical techniques such as queueing theory are not precise enough. In this collection, we will focus on how to use simulation to analyze, evaluate and improve the performance of business processes. In this resource we focus on the first two steps of the DES simulation methodology. The resources consist of the following 3 short clips: introduction to simulation Step 1: project definition Step 2: Design the study These resources are part of the course: Business process simulation (TUe)

Document

Laura Genga

29 juli 2024

Classical Numerical Methods in Scientific Computing

Partial differential equations are paramount in mathematical modelling with applications in engineering and science. The book starts with a crash course on partial differential equations in order to familiarize the reader with fundamental properties such as existence, uniqueness and possibly existing maximum principles. The main topic of the book entails the description of classical numerical methods that are used to approximate the solution of partial differential equations. The focus is on discretization methods such as the finite difference, finite volume and finite element method. The manuscript also makes a short excursion to the solution of large sets of (non)linear algebraic equations that result after application of discretization method to partial differential equations. The book treats the construction of such discretization methods, as well as some error analysis, where it is noted that the error analysis for the finite element method is merely descriptive, rather than rigorous from a mathematical point of view. The last chapters focus on time integration issues for classical time-dependent partial differential equations. After reading the book, the reader should be able to derive finite element methods, to implement the methods and to judge whether the obtained approximations are consistent with the solution to the partial differential equations. The reader will also obtain these skills for the other classical discretization methods. Acquiring such fundamental knowledge will allow the reader to continue studying more advanced methods like meshfree methods, discontinuous Galerkin methods and spectral methods for the approximation of solutions to partial differential equations.

Open (Access) Tekst Boek

Jos van Kan, Guus Segal, Hans Kraaijevanger, Fred Vermolen