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Samenvatting cursus informatiesystemen - informatiesystemen (1101TEWITB)

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Deze samenvatting biedt een uitgebreide en gedetailleerde weergave van de hoofdstukken 1, 2, 3 en 5 uit de cursus van professor Jan Verelst. De overige hoofdstukken werden niet behandeld in de les en zijn daarom niet opgenomen in deze samenvatting. De tekst is volledig opgesteld in het Nederlands en behandelt alle belangrijke concepten, theorieën, modellen en voorbeelden die in deze geselecteerde hoofdstukken aan bod komen.

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November 5, 2025
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Informatiesystemen

Hoofdstuk 1 – informatie en informatiesystemen.............................................5
1.1 Situering beleidsinformatica.....................................................................................5
1.1.1 Beleidsinformatica – het ondersteunend perspectief.........................................5
1.1.2 Beleidsinformatica als brug tussen bedrijfskunde en ICT...................................5
1.1.3 Bouwen: de brug als ontwerpkloof tussen de functionele en constructieve laag
................................................................................................................................... 6
1.1.4 Managementaspecten van informatiesystemen.................................................7
1.1.5 Het multidisciplinaire karakter van de beleidsinformatica..................................7
1.1.6 Primaire vs. secundaire activiteiten: van ondersteunend naar innoverend
perspectief.................................................................................................................. 8
1.1.7 Beleidsinformatica – het innoverend perspectief...............................................9
1.2 Informatie................................................................................................................. 9
1.2.1 De rol van informatie bij bedrijfskundige beslissingen.......................................9
1.2.2 Wat is informatie?............................................................................................10
1.2.3 Informatie als een model van de reële wereld.................................................11
1.2.4 Data representatie...........................................................................................12
1.2.5 Verwerking....................................................................................................... 17
1.2.6 Kwaliteit van data en informatie......................................................................18
1.2.7 Syntaxis en semantiek.....................................................................................18
1.3 Informatiesystemen................................................................................................ 19
1.3.1 Definitie informatiesystemen...........................................................................19
1.3.2 Typologie op basis van de informatie-spiegel...................................................21
1.3.3 Typologie qua integratie: departementaal tot inter-organisatorisch.................24
1.3.5 Informatiesystemen en strategische impact....................................................25
Hoofdstuk 2 – hardware en netwerken...........................................................26
2.1 Hardware................................................................................................................ 26
2.1.1 Hardware componenten...................................................................................27
2.1.1.1 Moederbord............................................................................................... 28
2.1.1.2 CPU............................................................................................................ 28
2.1.1.3 Primair geheugen......................................................................................29
2.1.1.4 Secundair geheugen..................................................................................29
2.1.1.5 Invoer en uitvoer.......................................................................................30
2.1.1.6 GPU............................................................................................................ 30
2.1.1.7 GPU computing.......................................................................................... 31
2.1.1.8 Koeling....................................................................................................... 31
2.1.1.9 Overclocking.............................................................................................. 31
2.1.2 Data centers.................................................................................................... 31

1

, 2.1.3 Besturingssysteem........................................................................................... 32
2.1.4 Evolutie............................................................................................................ 33
2.2 Netwerken.............................................................................................................. 34
2.2.1 Packet Switching netwerken............................................................................34
2.2.2 Internet............................................................................................................ 34
2.2.3 Mobiele netwerken........................................................................................... 35
2.2.4 Wi-Fi................................................................................................................. 36
2.2.5 Bluetooth......................................................................................................... 37
2.3 Cloud computing..................................................................................................... 37
2.4 Quantum computing...............................................................................................38
Hoofdstuk 3 – informatiesysteemontwikkeling...............................................39
3.1 Golf 1 – maatwerk................................................................................................... 39
3.1.1 Programmeertalen........................................................................................... 39
3.1.2 Modulariteit...................................................................................................... 41
3.1.3 Relationale databanken...................................................................................43
3.2 Golf 2 – pakketten................................................................................................... 45
3.2.1 Standaardpakketten......................................................................................... 45
3.2.2 ERP-systemen..................................................................................................46
3.3 Golf 3 – web services..............................................................................................47
3.3.1 Web services.................................................................................................... 47
Hoofdstuk 5 – recente en nieuwe technologieën.............................................50
5.1 Internet of Things................................................................................................... 50
5.1.1 Toepassing van IoT voor Data Science en Artificial Intelligence.......................53
5.1.1.1 IoT voor landbouw.....................................................................................53
5.1.1.2 IoT voor beeldwaarneming........................................................................54
5.1.1.3 IoT voor robotica........................................................................................ 56
5.1.1.4 IoT voor predictief onderhoud....................................................................57
5.2 Data Science........................................................................................................... 57
5.2.1 Data management........................................................................................... 59
5.2.2 Descriptive Analytics........................................................................................ 60
5.2.3 Predictive Analytics.......................................................................................... 60
5.2.4 Prescriptive Analytics.......................................................................................61
5.2.5 Presentatie....................................................................................................... 61
5.2.6 Ondersteunende technologieën.......................................................................62
5.3 Artificial Intelligence...............................................................................................63
5.3.1 Intelligentie...................................................................................................... 63
5.3.2 Basiskenmerken van Artificial Intelligence.......................................................64
5.3.3 Waarnemen...................................................................................................... 64
5.3.4 Redeneren....................................................................................................... 65
5.3.4.1 Productiesystemen....................................................................................65
5.3.4.2 Kunstmatige neurale netwerken................................................................66


2

, 5.3.5 Reageren......................................................................................................... 67
5.3.6 Machine Learning.............................................................................................67
5.3.7 Deep Learning.................................................................................................. 69
5.3.7.1 Feed Forward Networks.............................................................................70
5.3.7.2 Nadelen van Deep Learning.......................................................................71
5.3.8 Over verklaarbaarheid, vertrouwen en misbruik..............................................72
5.3.9 Toepassing: Natural Language Processing.......................................................73
5.3.9.1 Deep learning voor natural language processing: recurrent neural networks
.............................................................................................................................. 73
5.3.9.2 Deep learning voor vertalingen: sequence-to-seqeunce modellen............74
5.3.9.3 Large language models.............................................................................74
5.3.10 Toepassing: Deepfake en morphing...............................................................75
5.3.11 Toepassing: beeldherkenning.........................................................................75
5.3.11.1 Randen.................................................................................................... 75
5.3.11.2 Textuur..................................................................................................... 76
5.3.11.3 Segmentatie en classificatie....................................................................76
5.3.11.4 Deep learning voor beeldherkenning: convolutional neural networks......76
5.3.11.5 Deep learning voor object detectie: regional proposal networks.............76
5.3.12 Robotica......................................................................................................... 77
5.3.13 Andere voorbeelden van Artificial Intelligence...............................................77
5.3.13.1 Finance.................................................................................................... 77
5.3.13.2 Smart cities............................................................................................. 78
5.4 Search Technology..................................................................................................79
5.4.1 Search Engine Marketing.................................................................................80
5.4.2 Search Engine Optimization.............................................................................80
5.4.3 Pay-Per-Click Advertising..................................................................................81
5.4.4 Social Media Optimization................................................................................81
5.4.5 Targeted Marketing..........................................................................................82
5.5 Blockchain en Distributed Ledger Technology.........................................................83
5.5.1 Data- en netwerklaag.......................................................................................84
5.5.2 Consensus en beloningslaag............................................................................84
5.5.2.1 Transactie generatie en validatie...............................................................85
5.5.3 Contractlaag.................................................................................................... 85
5.5.4 Toepassingslaag...............................................................................................86
5.5.5 Publiek versus privé versus consortium...........................................................86
5.5.6 Uitdagingen...................................................................................................... 87
5.5.7 Distributed Ledger Technology.........................................................................87
5.5.8 De toekomst..................................................................................................... 88
5.5.9 Conclusie......................................................................................................... 88
A Practicum: SQL..........................................................................................89
A.1 Introductie.............................................................................................................. 89

3

, A.1.1 Onderdelen van SQL........................................................................................89
A.1.2 Verklaring syntax............................................................................................. 90
A.2 Data Definition Language.......................................................................................90
A.3 Data Manipulation Language..................................................................................92
A.4 Data Query Language.............................................................................................93
A.4.1 Selectie en projectie........................................................................................93
A.4.2 Sorteren van resultaten...................................................................................95
A.4.3 Aggregaat-functies.......................................................................................... 95
A.4.4 Groeperen van records....................................................................................96
A.4.5 Joining.............................................................................................................. 97
A.4.6 Methode voor het opstellen van query’s..........................................................98




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