Technische Universiteit Eindhoven (TUE) • Data Science

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!

This summary consists of all the information and theory given in the lectures and notes of the Data Statistics course in 2020/2021. This theory forms an important basis for anything related to statistics. So, this summary will not only help you pass the Data Statistics exam, it will also be a useful document for other courses that deal with statistics-related topics!

This extensive summary contains all the theory presented in the 2WBB0 calculus course from the TU/e in 2020/2021. As this course is known to be a hard course, I included examples and additional tips in this summary to help you pass the Calculus 2 exam. Good luck!

This summary consists of all the information and theory given in the lectures of the Data Mining course in 2020/2021. This theory forms an important basis for the Data Mining related implementations in Python and/or other programming software. Moreover, this summary includes some additional examples as well as a symbols and notation 'cheatsheet' to help you pass your Data Mining exam!