MOKV3500 Data visualization Course description

In this course students learn how to create data driven, interactive content for web and mobile using free open source web technology. The course includes cartography, statistics, source criticism, applied mathematics, programming and visualization. The course is suited for web journalism and other kinds of web content creation.

The course does not require previous experience with programming, but participants should have an interest for data and programming. Using your own laptop and having administrative rights to this laptop is highly recommended.

No pre requirements, but we want to inform that the course has progression provisions as described in the general part of the program plan.

The course builds on SYKP/SYKK1060 Evidence-Based Practice (EBP) in Health Care. This course teaches students how to work in a scientific manner. They should be able to read research articles and gain insight into methodical strengths and weaknesses of said articles. Qualitative and quantitative methods, or a combination of these are part of the course. Students will study the research process and basic scientific methods through practical exercises. The course contributes to understanding how scientific methods lay the basis for research results.

Admission to the programme.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student is capable of

• explaining the stages of the research process
• describing the connection between the theory of science and research methods
• forstår tolkningen av og bakgrunnen for sentrale effektestimater og spredningsmål brukt i vitenskapelige studier

Skills

The student is capable of

• describing methods for the collection and analysis of quantitative and qualitative data
• reflecting on the concept of quality in qualitative versus quantitative methods such as validity, reliability, soundness and trustworthiness
• describing differences between the humanistic and natural sciences research traditions

Competence

The student is capable of

• reflecting on how research results are influenced by choices of method and interpretation during the research process
• assessing research ethical aspects

Lectures, group work, seminars with presentations and self-study.

All utilitites allowed as long as rules for source reference are followed.

Graded scale A-F.

Home examination in groups.

• Gorups until 7 students
• The exam period extends throughout the course
• Scope of 1,500 words (+/- 10%).

Resit exam: A student who fails the ordinary exam, may nevertheless submit a reworked version as a resit.

All aids are permitted, as long as the rules for source referencing are complied with.