Applied Digital Workflow
2009-2010 - IMT4951 - 5 ECTS


IMT4891 Digital Workflow Fundamentals

Expected learning outcomes

An important aspect of this course is to provide the students with an opportunity to practice the skills, knowledge and attitudes gained from the course in 'Digital Workflow Fundamentals', including data transformation, workflow automation, metadata and intellectual property rights.

After ending this course, the students will be able to identify and describe the key elements of the terms 'Web 2.0' and 'Mashup', and be able to understand and apply that knowledge using a mashup programming environment and the appropriate tools to produce and present an intergration of data from atleast two different sources.

The students will also know and understand the purpose and use of technical support systems for project planning, delivery control/ versioning and documentation.


  • Web 2.0 fundamentals, including semantic web technologies
  • Mashup fundamentals including categories, technologies and tools
  • Mashup programming
  • Systems for prosject planning, milestone- and task tracking
  • Systems for version control
  • Systems for documentation

Teaching Methods

Laboratory work
Net Support Learning
Project work

Teaching Methods (additional text)

The course will be offered both as an ordinary campus course and as a course that is offered in a flexible way to off-campus students. Lecture notes, e-lectures and other types of e-learning material will be offered through an LMS. Communication between the teachers and the students, and among the students, will be facilitated by the LMS.

Form(s) of Assessment

Evaluation of Project(s)

Form(s) of Assessment (additional text)

The project evaluation consists of two parts:

  • A mid-course report that will count for 40% of the final grade and include the purpose of the project, and a description of the sources of data to be combined. The report will also need to include a short description of the legal implications involved and how they will be handled, as well as how automation and metadata applies to the project.
  • A final report that will count for 60% of the final grade and will need to include a discussion about the result, how it differed from the initial goal, and suggested improvements.The final report will have to be written in LaTex and delivered in .tex and .pdf formats.
  • Each part must be individualle approved of

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Two internal examiners evaluate the reports.

Re-sit examination

No re-sit offered.

Teaching Materials


  • The KML Handbook: Geographic Visualization for the Web, Josie Wernecke, 1st Edition, 2008, Addison-Wesley,ISBN-13: 978-0321525598 -Web 2.0,


  • Mashup technology (to be determined),