Universiteit Utrecht (UU) • Master Business Informatics

These notes are a summary of all the lectures, literature and assignments needed for the UU Data Science and Society midterm exam.

This summary provides an indepth summary of the lectures, literature, & assignments in the course Data Science and Society.

Method Engineering is defined as the engineering discipline to design, construct, and adapt methods, techniques and tools for systems development. The primary focus of the course is to apply meta-modeling for the assembly and evaluation of methods; the adaption of concepts and rules for techniques; and the derivation of support tools for information systems development.

Method Engineering is defined as the engineering discipline to design, construct, and adapt methods, techniques and tools for systems development. The primary focus of the course is to apply meta-modeling for the assembly and evaluation of methods; the adaption of concepts and rules for techniques; and the derivation of support tools for information systems development.

This is a summary of the Business Intelligence course taught at Utrecht University. Its contents are from the book Business Intelligence: A Managerial Approach by Sharda, Delen, and Turban (4th edition). Since the 2018 edition of the course features an open book exam, there is a keyword section in the back which allows you to quickly look up definitions and other key terms.

Full summary of the course Mobile Interaction (master Business Informatics or related masters). It contains 1) summaries for each of the lecture slides (1-10), 2) "Key Points" section as TLDR for the whole summary, 3) very short summaries for each of the mandatory reading papers. The summary should be a good starting point for studying.

This is a summary of the Enterprise Architecture course taught at Utrecht University. This summary extensively summarises the book Enteprrise Architecture at Work by Mark Lankhorst et al. (4th edition) using ArchiMate 3.0. Free pro-tip: Chapter 7 and 10 were not covered in the exam. At all.

This summary covers all slides for the second (final) exam of Method Engineering. Guest lectures and lectures not covered by the exam are not included. The summary is a nice starting point for studying and contains some examples for formalization of methods and other important stuff. It does not contain a summary of the literature.

This is a summary of the Data Analysis and Visualisation course taught at Utrecht University as part of the Applied Data Science (ADS) profile. Its contents are an extensive yet comprehensive summary of all chapters of the book Introduction to Statistical Learning (James et al.) and relevant papers. Topics touched upon are, among others, regression (linear and logistic), resampling, tree-based methods, classification, PCA, correspondence analysis, and cluster analysis.

Uitgebreide en nauwkeurige samenvatting (Engelstalig) van de 2 boeken die tijdens de hoorcolleges zijn behandeld en voor het eindexamen van de cursus Advanced Research Methods moeten worden bestudeerd.