Universiteit Utrecht (UU) • Master Business Informatics

This two-page Data Science and Statistics (DSS) Cheat Sheet is designed to support students preparing for the INFOMDSS open book exam, providing a focused yet comprehensive overview of essential clustering, classification, and evaluation metrics. With quick-reference explanations of key concepts—such as clustering methods (K-means, DBSCAN), performance metrics (Silhouette Index, ROC curves), and data quality measures—this cheat sheet is also a valuable resource for other data science courses...

This 2 page (one piece of paper) cheatsheet gives a full overview of all of the theoretical datascience topics including classification approaches like Bayes Theorem. Please note that the preview page is blurred as this page makes half of the complete document, therefore including a bunch of valuable info.

This summary consists of everything you need to know for the final exam of INFOMDSS. Good luck studying!

Only the last couple of lectures, including notes.

This document includes lecture slides and notes. It only contains the last lectures after Christmas Break. Everything before this (for the midterm) is in a separate file

Summary of all class notes for Adaptive Interactive systems class at UU.

Summary of all class material for the Adaptive Interactive System exam at Utrecht University.

Summary of everything for the midterm exam. Including leture notes, literature summaries and screenshots of slides/ images.

Summary for data science and society. Can be print out and has all the theory to pass the exam.

Summary of all slides and papers needed for the exam. Some lectures are skipped as they are not important for the exam.