Big Data Processes
The goal of the course is to make students able to manage and use data sets, e.g. by learning about tools for data interpretation and visualisation, and to reason about the use of data in larger contexts.
Businesses as well as governmental and non-governmental organisations increasingly employ processes for collecting, storing, managing, and analysing big data. Such big data processes, based on the discovery of meaningful patterns in large data sets, can be used to explain complex phenomena or to build predictive models about human behaviours.
In this class, we will review the technological trends that underlie the advent of big data and engage in hands-on big data processes, ranging from the collection of data to extracting insights from it. Furthermore, we will discuss the economic potentials of big data processes and their limitations from technical, organisational, and ethical points of views.
The course covers topics such as storing and querying data in databases, describing and exploring data with visualisations inference and prediction with statistical models, business value of big data & analytics, human vs. algorithmic decision-making, privacy, surveillance and GDPR.
Intended learning outcomes
After the course, the student should be able to:
- Analyse and discuss the technological trends that underlie Big Data
- Analyse and discuss how organisations can use analytics to gain critical insights
- Design, conduct and report results of analytics and visualisation in a specific case
- Reflect upon the role of personal data in Big Data processes
- Analyse and discuss the potential pitfalls of Big Data processes
Ordinary examExam type:
D: Written report with oral defence, external (7-trinsskala)
D2G: Submission of written work for groups with following oral exam supplemented by the work submitted. The group has a shared responsibility for the content of the report.
Reports are handed in by groups and students are examined as a group and evaluated on the basis of demonstration of fulfilment of the intended learning objectives for the course.
The hand in should be 15 pages + 2 pages per group member. Each group should have 3-5 members.
Duration of the exam: 30 minutes per group incl. assessment and feedback
Form of group exam: Group exam
See Study Guide -> Exams -> Course Exams -> Exam Forms for more information.