Innledning

Students will gain knowledge about theoretical principles of and computational techniques for visual analytics. The course will enable students to design, develop, and evaluate information dashboards for organizations. The students shall be able to reflect upon the different models, theories, and frameworks for technology integration from a visual analytics perspective.

Central topics includes applied computer science.

Læringsutbytte

Knowledge 

The student...

  • demonstrates advanced knowledge of the theoretical principles in visual analytics
  • demonstrates thorough knowledge of the key technologies, tools, and platforms for visual analytics such as D3 for Data-Driven Documents, Google Charts API, Tableau, Many Eyes etc
  • demonstrates advance knowledge of important constraints related to the design, development, and evaluation of information dashboards

Skills 

The student...

  • can analyze the different visual analytics principles and techniques such as focus+context, overview+detail, linking and brushing, pan and zoom etc.
  • can select and apply the appropriate principles, methods, tools and techniques for a given dataset to order to create a meaningful and actionable information dashboard
  • is able to do proof-of-concept design, evaluation, and documentation of an information dashboard from a dataset

General competence 

The student...

  • can describe and discuss research issues and practical challenges in visual analytics
  • can reflect upon the different models, theories, and frameworks for technology integration from a visual analytics perspective
  • can identify and choose the appropriate principles, methods, tools and techniques for a given dataset to order to create a meaningful and actionable information dashboard
  • can communicate the role of visual analytics in data-driven decision-making

Emnet inngår i

Master in Applied Computer Science

Master in Human-Computer Interaction

Læringsaktiviteter

Block mode.

Anbefalt tidsbruk

Lectures and student guidance: 36 hours

Self-study: 76 hours

Preparation for presentation/discussion in class: 25 hours

Exercise: 45 hours

Assessment 18 hours

Total: 200 hours

Obligatorisk aktivitet

Coursework requirements: Consists of one or more assignments/activities that collectively must be approved 

Qualified: G/IG (approved/not approved) 

Support materials: All support materials are allowed 

The coursework must be approved in order to take any examination in the course. 

Eksamen

Exam type: Individual written home examination*

Duration: 3 weeks

Grading scale: Norwegian grading system using the graded scale A - F where A is the best grade, E is the lowest pass grade and F is fail 

Weighting: 100 % of the overall grade 

Support materials: All support materials are allowed 

Kontinuasjon

*Resit examination: New assignment with a duration of 10 days.