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 examStudents 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.
|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|
|Language of instruction||English|
|Location of the lecture||Campus Aalborg|
|Responsible for the module|
|Study Board||Study Board of Communication and Digital Media|
|Faculty||The Faculty of Humanities|