Technische Universiteit Eindhoven (TUE) • Data Science

A summary on the course Business Insights and Networks, from the bachelor Data Science in Eindhoven and Tilburg. This course focusses on network analysis and inter-organizational relationships. This summary also contains some non-extensive notes on the provided readings and the abstracts of the papers.

Summary on the course Data Science Research Methods (JBM025) from the major Data Science in Eindhoven and Tilburg. This course has two parts. The first part focusses on the scientific method and design of experiments (DOE). The second part focusses on econometrics and builds upon what is discussed in the course Business Analytics.

A summary on the course "Business Analytics" from the bachelor Data Science in Eindhoven and Tilburg. Following 2021/2022, this course is provided under the name Econometrics JBM045.

A short summary discussing the Statistical Computing JBM050 course for the bachelor Data Science in Tilburg and Eindhoven. This summary is based on the lectures and the reading materials.

This summary contains all the theory from the lab sessions and exercises given in the JBC090 course. This is an addition to the summary of the theory given in this course. This will help you prepare for the interim exam as well as the final exam, good luck!

This summary contains all the theory provided in the JBC090 course in 2021/2022. This includes elaborate description and practical examples of the concepts. This will help you preparing for the exam!

This 40-page summary consists all the information necessary to prepare for the JBM040 Business Analytics (becomes JBM045 Econometrics for DS) exam. The summary includes descriptions of all relevant concepts, formulas and statistical assumptions. Additionally, several proofs are added at the end of the document.

This summary contains all theory given in the JBI100 Visualization course at TU/e in cooperation with TiU in 2021/2022. It is based on Munzner's Visualization Analysis & Design book. The summary includes descriptions of all relevant concepts and theory.

This extensive summary contains all the theory presented in the JBE140 Business Insights course given at the TU/e in cooperation with TiU in 2021/2022. This includes explanation of relevant concepts as well as a 20-page description for using R for Social Network Analysis to help you prepare for the exam!

This summary contains all the theory presented in the JBL120 (becomes JBL125) Law and Data Science course given at TU/e in cooperation with TiU in 2021/2022. This includes elaborate explanation of relevant concepts, theory, case law and a 'Latin Phrases Cheatsheet' on the last page of the document. This will help you be prepared for the exam!

This document contains a summary with all the necessary functions for you to know for the exam. It includes the notes made by the teacher in the online lectures that are not on the slides. It only includes the first part of the Data Fusion lecture. And there is nothing about How to Lie with Data, because I feel like this is just common sense.

Class notes on the lectures of Data Structures given by Prof. Dr. Bettina Speckmann. In the notes, there are images of the important algorithms mentioned in the lecture and all important computation.

This document is a summary of the class notes that are also in this Stuvia. It is more organized and contains all main elements of the lectures and reading material.

This document contains notes on the lectures of Alessandro Di Bucchianico and Thomas Klein. And also a summary of the compulsory reading material for each lecture. This one is the large, detailed summary. It contains almost each detail mentioned during the lectures.

This is a summary of the lectures given by the three lecturers of this course. I followed this course in the year 2021-2022. In this summary, all papers that the teachers refer to in the lectures are mentioned before the concerning parts. This is important for the exam. This summary does not contain any information about the Lab Sessions and R programming.

This document contains a summary of the notes from the provided knowledge clips. It concerns the material for the 2nd year course JBL120 given in 2021-2022.* * It is now replaced with a 1st year course as well. I think there is a lot of overlap between the materials, but I cannot assure that it contains all lecture material of the first years course JBL125.

This extensive summary contains all the theory presented in the JBM050 Statistical Computing course given at the TU/e in cooperation with TiU in 2020/2021. It also includes examples and pseudocode to help you prepare well for the assignments and the exam!

This document is an exhaustive summary of all the material provided in the 2020/2021 Data Science Research Methods course. It includes in-depth descriptions of theory from the books Experimental Design (Berger et al., 2018) and Mostly Harmless Econometrics (Angrist et al., 2009) as well as the theory given in the lectures. Additionally, this 45-page document contains examples and quiz questions including worked out solutions to help you pass the exam!

This summary consists of all the theory given in the lectures of the Data Analytics for Engineers course. Additionally, it also consists of examples to help you understand the subject matter. This summary will provide you with the necessary basics for the exam!

This document is an exhaustive summary of all the theory taught in the 2020/2021 Foundations of Computing course. Additionally, it includes a summary of the relevant chapters of the 4th edition Discrete Mathematics with Applications (Epp) and Algorithms Unlocked (Cormen) books recommended for this course. The summary is 48 pages in total, describing not only the theory and concepts, but also providing illustrations and examples to help you understand the subjects well and pass the exam!