Universiteit Utrecht (UU) • Master Business Informatics

Tackling your Requirements Engineering midterm? Don’t waste time digging through endless materials—this expertly crafted summary gives you a clear, structured, and efficient way to study the key concepts you need! What’s Inside? Pohl’s Three Dimensions – Understanding Specification, Agreement & Systems Elicitation Techniques – Functional vs. Non-Functional Requirements The RE Process – How requirements evolve through spiral development Information Exchange – Known K...

Are you preparing for your Requirements Engineering (RE) exam and feeling overwhelmed by dense textbooks and complex concepts? This expertly crafted exam summary will help you study efficiently and focus on what really matters! What’s Inside? Pohl’s Three Dimensions – Specification, Agreement & Systems Elicitation Techniques – Functional & Non-Functional Requirements Quality Frameworks – Glinz Model, UGA Operators, and Requirement Satisfaction User Stories & Agile Methodo...

This extensive exam summary is your go-to guide for understanding research methodologies in Business Intelligence. It introduces essential concepts such as empirical research approaches (qualitative and quantitative), philosophical paradigms (positivism, interpretivism), and systematic literature review techniques like meta-analysis and narrative synthesis. The guide also explores research strategies, including surveys, case studies, and experimental methods, alongside key topics like sampling t...

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.