Data Analytics and Visualization

2018/2019

Modulets indhold, forløb og pædagogik

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.

Læringsmål

Viden

In this module students will acquire knowledge of:

  • Descriptive analytics, such as social network analysis and dimensionality reduction
  • Predictive analytics, such as regression and machine learning 
  • Techniques for data visualization.

Færdigheder

In this module students will acquire skills in:

  • Conducting data-driven analysis
  • Conducting participatory data design with users
  • Identifying, comparing, and selecting relevant techniques for describing and analyzing data about user behavior, interaction, and/or opinions
  • Selecting the optimal data visualization techniques for describing and analyzing digital trace data.

Kompetencer

In this module students will acquire competences in:

  • Applying analytical tools to real-world cases
  • Taking an analytical, reflective and critical approach to the analysis, visualization, and interpretation of collected research data.

Eksamen

Prøver

Prøvens navnData 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.
ECTS5
Bedømmelsesform7-trins-skala
CensurIntern prøve
VurderingskriterierThe examination must demonstrate that the student can fulfil the objectives outlined above regarding knowledge and understanding, skills and competencies

Fakta om modulet

Engelsk titelData Analytics and Visualization
ModulkodeKAINFOS1812
ModultypeKursus
Varighed1 semester
SemesterEfterår
9. semester
ECTS5
UndervisningssprogEngelsk
UndervisningsstedCampus Aalborg
Modulansvarlig

Organisation

StudienævnStudienævnet for Kommunikation og Digitale Medier
FakultetDet Humanistiske Fakultet