Official course description, subject to change:
Preliminary info last published 30/01-23

Data-Driven Design & Development

Course info
Language:
English
ECTS points:
7.5
Course code:
KGDADDD1KU
Participants max:
75
Offered to guest students:
yes
Offered to exchange students:
yes
Offered as a single subject:
yes
Price for EU/EEA citizens (Single Subject):
10625 DKK
Programme
Level:
MSc. Master
Programme:
MSc in Games
Staff
Course semester
Semester
Forår 2024
Start
29 January 2024
End
23 August 2024
Exam
Exam type
ordinær
Internal/External
ekstern censur
Grade Scale
7-trinsskala
Exam Language
GB
Abstract

In this course, students learn how to work in data-driven design and development processes and what changes data analysis brings to the design and maintenance of games.

Description

Data analysis has become one of the driving forces of game design and development. This course teaches data analysis methods, and how they affect design and development. Students learn how user data is gathered, and how data analysis can be used in order to support the design and development of games and other interactive systems. They also learn how to develop, use, and analyse different game industry related metrics (e.g. customer metrics, community metrics, performance metrics, gameplay metrics) and how to use those to balance and optimise different aspects of games, informing the design process.

NB: This course is not available to students enrolling in the course Critical Data Analysis.

Formal prerequisites
The students need to have attended an introduction to programming course.

This course is not available to students enrolling in the course Critical Data Analysis.
Intended learning outcomes

After the course, the student should be able to:

  • Formulate an appropriate research question to effectively address and evaluate a design, development or business idea.
  • Design research studies and evaluate their results in relation to a given research question.
  • Compare, evaluate and apply appropriate operationalisation of a given construct
  • Outline and apply relevant statistical measures for testing, evaluation and communication of data.
  • List possible data sources to evaluate the user experience in a given context
  • Identify relevant key performance indicators and metrics relevant in each of the design and development stages.
  • Identify and apply appropriate visualisations of collected data metrics that can inform the appropriate stakeholder.
  • Describe the technical, ethical and legal challenges connected to the collection and analysis of user data.
Ordinary exam
Exam type:
D: Submission of written work with following oral, External (7-point scale)
Exam variation:
D2G: Submission for groups with following oral exam supplemented by the submission. Shared responsibility for the report.