Data science and society - Samenvattingen en Aantekeningen

An detailed, well-structured summary including all the course materials: class slides, final exam example questions, quiz questions posted by the professors, with clear chart and beautiful, neat layout. This is for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society, during the first semester of the academic year 2024 / 2025 (August to December 2024).

Exam Data science and society 2021 questions&answers

Dit document bevat een Nederlandse samenvatting van de literatuur voor het vak Technology, Policy and Society. Het bevat een samenvatting van de volgende documenten: • Webster, F., (2014) Fourth edition Theories of the Information Society Routledge, New York. (H1, H2, H4, H6, H8, H9, H11) • Bekkers, V., Moody, R., (2014) Accountability and the framing power of visual technologies: how do visualized reconstructions of incidents influence public and political accountability discussions?...

Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).

Elaborate summary of the introduction to AI course in the Pre-master data science and society. Includes the course materials as well as additions from the book and extra explanations about the calculations.

Cijfer: 9.0 Literatuur: Anholt, R. (2017). Governing humanitarian emergencies, protracted crises, and (in)security through resilience. Amsterdam: Vrije Universiteit (hoofdstuk 4). Baldwin, D.A. (1997) ‘The concept of security’. Review of International Studies, 23 (1), 5-26. De Bhal, J. (2014). Security: An Essentially Contested Concept?. E-International Relations. Van: Williams, P.D. & MacDonald, M. (2018) Security studies: an introduction. New York: Routledge (introductie pag. 1-1...

A summary of the online lectures made available for the course Statistics and methodology of the master Data Science & Society at Tilburg University. Different terms are explained as simple as possible to make it easy to understand. Also, several examples have been given about how to interpret specific outputs in R.

Summary for the 2nd part of the course Introduction to Artificial Intelligence 1 at Tilburg University. The summary covers the knowledge needed for the Endterm, which constitutes for 70% of the final grade. Passed it with 7.0 without studying, just by bringing the notes with me to the exam.

Summary for the 1st part of the course Introduction to Artificial Intelligence 1 at Tilburg University. The summary covers the knowledge needed for the Midterm, which constitutes for 30% of the final grade. Passed it with 8.0 without studying, just by bringing the notes with me to the exam.

Summary of Interactive Data Transforming. This is based on the lectures they give for the Master Data Science and Society in Tilburg University