The course provides an understanding of different analytical strategies and their implications for data modelling, including descriptive and predictive approaches. It also provides hands-on experience with different data visualization techniques and their analytical contributions.
In this module students will acquire knowledge of:
In this module students will acquire skills in:
In this module students will acquire competences in:
Prøvens navn | Data Analytics and Visualization |
Prøveform | Mundtlig
Internal individual oral exam in “Data Analytics &
Visualization”. Students must submit a blog post with relevant data
visualization and narration. Textual narration should be adapted to
the format of a blog post and may not exceed 1000 words regardless
of group size.
Students may submit the blog post individually or in groups of max. 3 students. Duration of examination: 15 minutes per student and 5 minutes for assessment and announcement of result. 20 minutes in total for individual examinations. |
ECTS | 5 |
Bedømmelsesform | 7-trins-skala |
Censur | Intern prøve |
Vurderingskriterier | Vurderingskriterierne er angivet i Universitetets eksamensordning |
Engelsk titel | Data Analytics and Visualization |
Modulkode | KAINFOS1812 |
Modultype | Kursus |
Varighed | 1 semester |
Semester | Efterår
9. semester |
ECTS | 5 |
Undervisningssprog | Engelsk |
Undervisningssted | Campus Aalborg |
Modulansvarlig |
Studienævn | Studienævn for Kommunikation og Digitale Medier |
Institut | Institut for Kommunikation og Psykologi |
Fakultet | Det Humanistiske Fakultet |