STKD6500 Data Science for Social Innovations I Course description

Den praktiske del av eksamen gjennomføres på skolens laboratorier over 6 dager etter bestått praksisperiode.

Vurderingsinnhold: Læringsutbyttene

Eksamensform: Individuell mappe med 2-3 praktiske arbeider, 3 skriftlige oppgaver fra praksisperioden på inntil 3500 ord, og komplett prosessbok fra ekstern praksis.

Ny eksamen: Studenten må omarbeide de deler som har fått «ikke bestått».

It is recommended to have completed one full year of university studies (60 ECTS) before the program starts. It is also recommended that students have basic knowledge of statistics and Programming.

Gradert skala A-F

Ekstern sensor deltar i utarbeidelsen av vurderingskriteriene. To interne sensorer vurderer alle kandidatene.

The course is organized around a series of lectures, workshops, home work, and a project. The lectures will introduce the topic, the workshops will provide some hands-on experience on the topic, and the home works are aimed at deepening the knowledge and consolidating the skills needed to complete the project. The project will be focused on solving a real-world problem. The solution will be presented at the end of the course in the form of a sales pitch for a startup, as to convince potential investors.

None.

Oral examination of a group project

Each group may consist of 2-5 candidates.

Oral presentations cannot be appealed.

No support material is permitted in the exams.

The final assessment will be graded on a grading scale from A to E (A is the highest grade and E the lowest) and F for fail.

Two internal examiners will be used. External examiner is used regularly.

The course has 5 ECTS of overlapping content towards STKD6510 Data Analytics: Tools and Techniques for Acquiring Insights from Big Data II.