course-details-portlet

LBAS3002 - Archives and Collections Management - A New Digital World

About

Examination arrangement

Examination arrangement: Home examination
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Home examination 100/100 6 hours ALLE

Course content

The course addresses recent issues of digitalisation and society with relevance to records management, archives and collections management. The course provides an overview of important new digital challenges and possible solutions that can also help to develop and strengthen the archives and museums' democracy- and rule-of-law-related roles. These include issues such as cloud storage, big data, service-oriented architecture and data security. Examples of data representation of large amounts of data in scalable systems are reviewed, e.g. storage, representation of images, multimedia, large amounts of text, documents or data.
The course can be replaced, alone or in conjunction with LBAS 3001, by other courses from one of the following NTNU faculties: the Faculty of Humanities, the Faculty of Social and Educational Sciences and the Faculty of Information Technology and Electrical Engineering. The courses LBAS 3001 and 3002 can also be replaced by examinations in subjects of similar scope (30 ECTS credits) from exchange abroad.

Learning outcome

Knowledge:
The student
- knows and understands the concept of Service Oriented Architecture (SOA) - knows different methods and technologies for the Semantic web, including semantic formats (such as RDF, OWL and XML) to describe metadata / ontologies
- have some knowledge of data security / authentication / encryption
- have some knowledge of ethical aspects used for the subject's problems that can be used by personal data.

Skills:
The student
- can suggest solutions for (long-term) storage and data representation of store computer in scalable systems assigned specifications (relevant) issues
- can explain based on examples of what is storage and data presentation of store computers in scalable systems

General competence:
The student
– can relate to questions concerning Big Data data)
– has knowledge of basic data analysis (data mining) and computer searches and knowledge systems (available knowledge), and how images can be used in an organization.

Learning methods and activities

Lectures, seminars and group work, exercises.

Compulsory assignments

  • 3 ICT simulated exercises
  • Qualification essay.

Further on evaluation

Work requirements are assessed with approved / not approved.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Archive and collection management (LTARKIV)

Course materials

A final version of the reading list will be posted on Blackboard before the start of the semester.

More on the course

No

Facts

Version: A
Credits:  15.0 SP
Study level: Third-year courses, level III

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2020

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Social Sciences
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Teacher Education

Examination

Examination arrangement: Home examination

Term Status code Evaluation Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Home examination 100/100 ALLE

Release
2020-12-09

Submission
2020-12-09


09:00


15:00

INSPERA
Room Building Number of candidates
Spring ORD Home examination 100/100 ALLE

Release
2021-05-25

Submission
2021-05-25


09:00


15:00

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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