IT-Universitetet i København
  Tilbage Kursusoversigt
Kursusnavn (dansk):Database Use and Design 
Kursusnavn (engelsk):Database Use and Design 
Semester:Forår 2018 
Udbydes under:Bachelor i global virksomhedsinformatik (bgbi) 
Omfang i ECTS:7,50 
Min. antal deltagere:15 
Forventet antal deltagere:
Maks. antal deltagere:92 
Formelle forudsætninger:Information about the course of study
This course is part of the second semester in the bachelor’s degree in Global Business Informatics. 
Læringsmål:After the course the students should be able to:

• Explain the difference between databases and data infrastructure
• Explain the difference between the relational and non-relational data models
• Describe the concept of big data
• Describe the challenges and opportunities of open data
• Account for enablers and sources of big data
• Explain techniques and methods for data analytics and visualization
• Analyze the governmental and business rationales for big data: Governing people, managing organizations, leveraging value, creating better places
• Discuss organization challenges and opportunities related to data: Scope of data sets, access to data, quality of data, data integration and interoperability, the application of data analytics
• Discuss ethical issues related to data generation and use in government, business, and society at large 
Fagligt indhold:A data ‘revolution’ is underway, one that is already reshaping how knowledge is produced, business conducted, and governance enacted. Data has traditionally been time-consuming and costly to generate, analyze and intrepid, and generally provided a relatively static and coarse snapshot of phenomena. This state of affairs is changing now. Rather than being scarce and limited in scope, the production of data is increasingly becoming a ‘deluge’ i.e. a wide flow of real-time, varied, resolute and relational data that are relatively low in cost. Outside of business, data is increasingly becoming open as well. This data abundance (as opposed to data scarcity) is reshaping how we work with, circulate, trade, analyze and exploit data. This development is founded on the latest wave of information and communication technologies such as the plethora of digital devices encountered in homes, workplaces and public spaces as well as mobile, distributed and cloud computing; social media, and interworked sensors and devices. These technical infrastructures are leading to evermore aspects of everyday life – work, consumption, travel, communication, and leisure – being captured as data. Moreover, they are reconfiguring the production, circulation and interpretation of data, producing what has been termed ‘big data’.

During the course the students will relate to the (changing) nature of data generation and use, including:

• Databases and data infrastructures
• Open data
• Big data – enablers and sources
• Data visualization and analytics
• The governmental and business rationale for big data
• Technical and organizational issues concerning data
• Ethical, political and social concerns 
Læringsaktiviteter:14 ugers undervisning bestående af forelæsninger og øvelser

Lectures that focus on reading and discussing issues central to data generation and use are combined with sessions run by teaching assistants, in which students are actively engaged in exercises relating to the themes.

The course includes a group-based oral presentation of central concepts from the course. Students will also be assigned to give group based feedback on the presentations.

The schedule will be available shortly before the beginning of the term. 

Obligatoriske aktivititer:Der er ingen obligatoriske aktiviteter. Vær venlig KUN at ændre denne tekst når der er obligatoriske aktiviteter./

There are no mandatory activities. Please, change this text ONLY when there are mandatory activities 
Eksamensform og -beskrivelse:B1I Mundtlig eksamen med forberedelse. På ITU, (7-scale, external exam)

Duration of the oral examination: 15 minutes (exclusive 15 minutes preparation)  

Litteratur udover forskningsartikler:Kitchin, Rob (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. London. Sage.

You can buy it at Academic Books, or on