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:
Name of exam | Data Analytics & Visualization |
Type of exam | Oral exam
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 not exceed 1000 words.
Students may submit the blog post in groups. Duration of examination: 15 minutes per student and 5 minutes per group for assessment and announcement of result. 20 minutes in total for individual examinations. |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The examination must demonstrate that the student can fulfil the objectives outlined above regarding knowledge and understanding, skills and competencie |
Danish title | Data analyse og visutalilet |
Module code | KAINFOS1710 |
Module type | Course |
Duration | 1 semester |
Semester | Autumn
|
ECTS | 5 |
Language of instruction | English |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Study Board | Study Board of Communication and Digital Media |
Department | Department of Communication and Psychology |
Faculty | The Faculty of Humanities |