Data Analytics and Visualization

2018/2019

Content, progress and pedagogy of the module

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.

Learning objectives

Knowledge

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.

Skills

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.

Competences

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.

Exam

Exams

Name of examData 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.
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe examination must demonstrate that the student can fulfil the objectives outlined above regarding knowledge and understanding, skills and competencie

Facts about the module

Danish titleData analyse og visutalilet
Module codeKAINFOS1710
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionEnglish
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Communication and Digital Media
FacultyThe Faculty of Humanities