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MBO

November 21, 2025

Linear Algebra – 2nd edition

The key ideas of linear algebra are presented from a geometric viewpoint, starting with vectors, lines, and planes. Standard topics such as linear systems, matrices, eigenvalues, eigenvectors, and orthogonality are treated clearly, followed by more advanced themes like symmetric matrices and discrete dynamical systems. The book includes many interactive applets that give students hands-on experience, along with numerous embedded exercises offering personalized feedback. Together, these create an engaging environment for learning linear algebra.

Open (Access) Text Book

Andre Hensbergen, Nikolaas Verhulst

February 25, 2026

Linear Algebra Card Game

The Linear Algebra Card Game is an educational game for 2 to 6 players to learn about key concepts and surprising connections in linear algebra. It’s designed especially for students of linear algebra courses in science and engineering faculties and provides an engaging way to review and reinforce course concepts inside or outside the classroom. Players take turns by placing cards in the middle of the table in a grid-like structure, explaining how the concept on their card connects to other cards in the grid. Each successful explanation, judged by the other players, earns points. The player with the most points at the end of the game wins the game! Deze Linear Algebra Card Game is een educatief spel voor twee tot zes spelers dat helpt om belangrijke concepten en verrassende verbanden in de lineaire algebra te ontdekken. Het is speciaal ontworpen voor studenten van cursussen lineaire algebra aan faculteiten voor wetenschap en techniek, en biedt een boeiende manier om cursusinhoud te herhalen en te versterken, zowel binnen als buiten het klaslokaal. Spelers leggen om beurten kaarten in het midden van de tafel in een roosterachtige structuur en lichten toe hoe het concept op hun kaart verband houdt met andere kaarten in het rooster. Een uitleg die door de andere spelers wordt goedgekeurd, levert punten op. De speler met de meeste punten aan het einde van het spel wint!

Document

Martijn Boussé, Monica Salvioli, Philippe Dreesen, Max Sondag, Marieke Musegaas, Ralf Peeters

August 28, 2025

Mathematics for Quantum Physics – 2nd edition

Mathematics for Quantum Physics provides a compact introduction to the most important mathematical tools used in quantum mechanics. The text is aimed at students who already possess basic knowledge of calculus and complex numbers. It is divided into three parts: analysis, linear algebra and probability. The focus is on examples and applications, and each section comes with a collection of exercises.

Open (Access) Text Book

Peter Bruin

November 2, 2020

Course on Robust Policies for Operations Management Problems: Module 5 - Art of Modeling

In module 5 of the course on 'Robust policies for operations management problems' we focus on: the 'Art of Modeling) Learning objectives are to understand: o How modeling affects the solution of Robust Optimization o Why we get such differences The material is designed for MSc students in the field of Operations Management. To understand the material, basic knowledge on linear algebra as well as linear optimization is required.. The resources consist of the PPT and a link the web lecture. Also included is an exercise (including solutions) The material is designed for MSc students in the field of Operations Management. To understand the material, basic knowledge on linear algebra as well as linear optimization is required.

Presentation

Ahmadreza Marandi

January 1, 2021

Quantum Country

By working through these essays, you will understand in detail all the basic principles of quantum computing and quantum mechanics, plus two important applications: the quantum search algorithm and quantum teleportation. You’ll need familiarity and comfort with the basics of linear algebra and complex numbers. We'll teach you the rest.

Website

Andy Matuschak, Michael Nielsen

November 2, 2020

Course on Robust Policies for Operations Management Problems: Module 1 - Sources of Uncertainty, Probability Theory and its Limitations

This resource concerns module 1 of the course 'Robust policies for operations management problems'. The resources consist of 2 PPT's and the related web -lectures. Learning objectives Sources of uncertainty Limitation of working with average values Limitation of working with chance constraints Why we should use Robust Optimization The material is designed for MSc students in the field of Operations Management. To understand the material, basic knowledge on linear algebra as well as linear optimization is required. Note that the powerpoint version may differ slightly from the PDF version. Please consult the PDF for the original content.

Presentation

Ahmadreza Marandi

March 21, 2022

Medical Image Analysis

This course is a sequel to the image processing course (8DB00) in the TU/e bachelor program Biomedical Engineering. In the Medical Image Analysis course (8DC00), we concentrate on more advanced image analysis methods and on how they can be used to tackle clinical problems. Topics covered include image registration, computer-aided diagnosis and machine learning. The course has a very strong focus on programming (implementing medical image analysis methods) in Python and relies on previous knowledge of calculus and linear algebra.

Website

Maureen Eijnatten, van, Mitko Veta, Veronika Cheplygina, Daniel Krahulec, Evi M.C . Huijben

November 2, 2020

Course on Robust Policies for Operations Management Problems: Module 4 - Robust Optimization with Integer Variables

In module 4 of the course on 'Robust policies for operations management problems' we focus on: robust optimization with integer variables: Learning objectives: o How to deal with integrality in Static Robust Optimization o How to deal with integrality of “here-and-now” decisions in Adaptive Robust Optimization (ARO) o How to deal with integrality of “wait-and-see” decisions in ARO o How to construct an iterative method using Voronoi diagram The materials that are provided for this module are the PPT file and the video of the lecture, as well as a worked out exercise. The material is designed for MSc students in the field of Operations Management. To understand the material, basic knowledge on linear algebra as well as linear optimization is required.

Presentation

Ahmadreza Marandi

November 2, 2020

Course on Robust Policies for Operations Management Problems: Module 2 - Static Robust Optimization

This resource concerns module 2 (Static robust optimization) of the course on 'Robust policies for operations management problems'. It includes web lectures and slides concerning the following topicsand learning objectives: 2.A: Selecting a robust counterpart o How to formulate Robust Optimization mathematically o How to reformulate it using linear programming duality 2.B: Vertex numeration and the deterministic reformulation o Drawback of using the reformulation obtained by duality o How to use vertex enumeration as an alternative technique 2.C: Robust facility location o How to construct the RC using a deterministic model o How to reformulate RC by analyzing the model o What can we get from solving RC 2.D: Dealing with a set of uncertainties o What the effect of the uncertainty set is in the solution o How we can select the parameters of an uncertainty set The material is designed for MSc students in the field of Operations Management. To understand the material, basic knowledge on linear algebra as well as linear optimization is required. There is a typo in the video of 2A. Robust Counterpart. From 38:55 onward, when we use the duality to reformulate the problem, there is a typo that is carried through the rest of the answer. The correct dual is provided in the lecture note page 8 and the final reformulation is on page 9, equation (2.14).

Presentation

Ahmadreza Marandi

December 1, 2025

Practice Material for Fundamental Courses in Economics

The repository is designed as an open, collaborative collection of digital exercises and supplementary teaching materials for fundamental economics courses. It is structured into subjects that are often found in economics courses. These subjects allow teachers to identify and integrate those exercises they need, based on the topics they are interested in. All exercises are available in English and Dutch. Selected exercises can be implemented through the Grasple platform directly with a free teacher account. Thematic Exercise Sets Basic Microeconomics: Exercises covering cost concepts, elasticity, optimization, and static market theory. Intermediate Microeconomics: Exercises addressing topics such as asymmetric information, principal-agent problems, and externalities. Mathematics in Economics: Materials that bridge mathematical techniques (like differential equations and linear algebra) with economic applications, created in collaboration with the department of Applied Mathematics at TU Delft. Open Educational Practices

Website

Sander Renes, Tom Vroegrijk, Daniela Petrova