Visual analytics

Knowlegde
• is able to explain the key theoretical principles in visual analytics.
• can describe the key technologies, tools, and platforms for visual analytics such as
Excel, Tableau, Power BI, etc.
• can discuss important constraints related to the design and development of management
information dashboards.
Skills:
is able to analyze the different visual analytics principles and techniques such as chart
building, overview + detail, pan and zoom, etc.
• can select and apply the appropriate principles, methods, tools, and techniques for a
given dataset in order to create a meaningful and actionable information dashboard.
• is able to conduct proof-of-concept design, development and documentation of an
information dashboard from a dataset.
General competence:
• can discuss research issues and practical challenges in visual analytics.
• can identify and choose the appropriate principles, methods, tools, and techniques for a
given dataset in order to create a meaningful and actionable information dashboard.
• is able to communicate the role of visual analytics in data-driven decision-making.
• knows communication and working in a technical (non) group setting.