HIVK03313U Classification Studies,
Information Science and Cultural Communication, the 2019 Curriculum
Classification is a daily human activity. We cannot use language without classifying objects in the world, and whenever we order items into groups, we in effect classify them. Likewise, in the digital world classification is ubiquitous. This goes for most information systems, including websites, as well as our interactions with such systems. We shall in this course study classification both from a conceptual and a digital perspective, and we shall study the close interaction between the two perspectives. The conceptual perspective will involve concepts and methods of classification, including their background in philosophy as well as information science. The digital perspective will involve studying and using methods of developing class structures, following a widespread standard used in many digital companies. In this connection we shall also be using software tools for generating suitable class diagrams. The two perspectives, conceptual and digital, go hand in hand and support each other. But at the same time, we shall also look critically at the limitations which go with the concepts and methods of classification studied.
Academic aims
At the exam, the student can demonstrate
knowledge and understanding of:
- selected theories on classification and categorisation
- the interaction between systems, media and platforms for classification
- the societal, technological and cultural preconditions for classification practices.
skills in:
- apply the subject's theories, concepts and methods to analyse selected classification practices in various societal, cultural and historical contexts.
- analyse and discuss one or more selected studies of classification practices.
competencies to:
- reflect independently on the applicability of various theories in order to illustrate a given analytical issue
- discuss, in a critical manner, the use of methodology and theory in existing analyses
- evaluate different classification practices in a cultural, technological and societal perspective.
Examples of literature that will be used in the course:
Bowker, Geoffrey C., & Susan Leigh Star. 2000. Sorting things out: Classification and its consequences. Cambridge, MA: MIT Press.
Gerti, Kappel & Heumer, Christian & Marion, Scholz & Seidl, Martina. 2014. UML @ Classroom. Springer International Publishing AG).
Gnoli, Claudio. In Press. “Genealogical Classification”. Knowledge Organization. Also available in ISKO Encyclopedia of Knowledge Organization at http://www.isko.org/cyclo/genealogical
Hjørland, Birger. 2017. “Classification”. Knowledge Organization 44, no. 2: 97-128. Also available in ISKO Encyclopedia of Knowledge Organization at http://www.isko.org/cyclo/classification
- Category
- Hours
- Class Instruction
- 56
- Preparation
- 234,8
- Exam
- 120
- Total
- 410,8
- Credit
- 15 ECTS
- Type of assessment
- PortfolioLanguage: English
Extent: 16-20 standard pages for an individual exam
The written assignment consists of portfolio exercises written during the course and subsequently revised prior to the final submission deadline. - Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
- Exam period
Winter exam 2020/21
- Re-exam
February 2021: Same as ordinary exam
Course information
- Language
- English
- Course code
- HIVK03313U
- Credit
- 15 ECTS
- Level
- Full Degree Master
- Duration
- 1 semester
- Placement
- Autumn
- Schedule
- Se skema under kursusbeskrivelsen.
- Course capacity
- 42 deltagere
- Study board
- Department of information studies
Contracting department
- Department of Information Studies
Contracting faculty
- Faculty of Humanities
Course Coordinators
- Per Frederik Vilhelm Hasle (9-736875316b64766f68436b7870316e7831676e)
- Martin Muderspach Thellefsen (17-6f6374766b7030766a676e6e6768756770426a776f306d7730666d)
Lecturers
Samme som kursusansvarlige