Information and Data Management

Universiteit van Amsterdam (UvA)

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Information and Data Management (IDM) Lecture Notes (Theory & Python) - GRADE 9,0
  • Information and Data Management (IDM) Lecture Notes (Theory & Python) - GRADE 9,0

  • Class notes • 61 pages • 2021
  • Lecture notes of the material for the final exam (2021) for Information and Data Management (IDM). Includes notes from all lectures and knowledge clips of both the theory and the python exercises covered in the course. Also includes links to Google Colab workbooks from the Python classes with additional notes.
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Information and Data Management (IDM) Summary (THEORY) - GRADE 9,0 Information and Data Management (IDM) Summary (THEORY) - GRADE 9,0
  • Information and Data Management (IDM) Summary (THEORY) - GRADE 9,0

  • Summary • 58 pages • 2021
  • Summary of the material for the final exam (2021) for Information and Data Management (IDM). Includes notes of chapters 1, 3 and 10 of David Bourgeois’s “Information Systems for Business and Beyond” (2019) and notes on the mandatory articles ("The Truth About Blockchain", "The Business of Artificial Intelligence", "Good Graphics").
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IDM summary and lecture notes!! IDM summary and lecture notes!!
  • IDM summary and lecture notes!!

  • Summary • 41 pages • 2021
  • This document concludes a summary of chapters used for the midterm, lecture notes of all powerpoints used for the midterm, and some python notes from the tutorials and lectures (week 1&2). In the end, it provides a clear overview of all materials used for the midterm.
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Information and Data Management (IDM) Summary - Midterm Materials (THEORY) Information and Data Management (IDM) Summary - Midterm Materials (THEORY)
  • Information and Data Management (IDM) Summary - Midterm Materials (THEORY)

  • Summary • 11 pages • 2021
  • Handwritten summary of the material for the midterm exam (2021) for Information and Data Management (IDM). Includes notes of chapters 1, 3 and 10 of David Bourgeois’s “Information Systems for Business and Beyond” (2019) (in black), and notes on the systems topics lectures (introduction and Lecture 1) given by Chintan Amrit (in blue). Neat notes, includes diagrams.
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 Summary - Information and Data Management (IDM)
  • Summary - Information and Data Management (IDM)

  • Summary • 26 pages • 2021
  • A very in-depth summary of all the study materials and lecture-slides combined. Consists of everything you need to know! Finished the course last year with a 9.5 Good luck! ;)
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Summary Endterm Information and Data Management (theory)
  • Summary Endterm Information and Data Management (theory)

  • Summary • 15 pages • 2020
  • Summary for the endterm of Information and Data Management. Includes: Burgeois: chapter 1, 3, 4, 10 Articles: The Business of Artificial Intelligence, Unwin Chapter. Theory lectures: Introduction to Databases, Data Science and Its Application, Data Visualisation
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Summary Endterm Information and Data Management (Python) Summary Endterm Information and Data Management (Python)
  • Summary Endterm Information and Data Management (Python)

  • Summary • 13 pages • 2020
  • Summary for the endterm of Information and Data Management. Includes: Al Sweigart: Chapter 1, 2, 3, 4, 5 Jake Vanderplas: The Basics of NumPy Arrays, Aggregations: Min, Max, and Everything In Between, Computation on Arrays: Broadcasting Tutorials UvA: Week 1, Week 2, Week 5
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Final Exam Information and Data Management Final Exam Information and Data Management
  • Final Exam Information and Data Management

  • Exam (elaborations) • 0 pages • 2020
  • Vragen van een eind tentamen voor het vak IDM van UvA.
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Summary 2019-2020 UvA IDM only Python material Summary 2019-2020 UvA IDM only Python material
  • Summary 2019-2020 UvA IDM only Python material

  • Summary • 22 pages • 2020
  • This is a summary with the Python chapters for both midterm and endterm. The chapters are: Sweigart:
 “Chapter 1 - Python Basics” “Chapter 2 - Flow Control”
 “Chapter 4 - Lists”
 “Chapter 3 - Functions” “Chapter 5 - Dictionaries and structuring data”
 VanderPlas: “Chapter 2 - Introduction to NumPy”
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