Navigating Complexity: Mapping, Visualisation and Decision-making
The course will teach students to analyse complexity within an empirical case that explores a current topic or controversy within the field of science, technology, and innovation.
The complex challenges of digitalisation often demand the professional use of both qualitative methods and data-exploration to diagnose issues and to act upon them.
In Navigating Complexity, students will be introduced to a range of conceptual and technical tools for generating and visualizing data and analysing complexity. Throughout the course students will experiment with different techniques for generating data and visualising complexity. Based on case work, students will be learn to reflect on how visualisations work as simplifications and can inform decision-making.
Students will learn a variety of qualitative approaches to quantitative data, focusing on inductive, exploratory inquiry. After the course, students will be capable of dealing with, communicating, and acting constructively in situations faced by complex challenges without straightforward solutions.The course will cover topics such as complexity thinking, storytelling with data, data and digital methods, situational analysis, problematisation, data politics and technical tools for data visualisation and exploration.
Formal prerequisitesPlease note that this course is only available for students enrolled in the programme Digital Innovation & Management. Moreover the student must always meet the admission requirements of the IT University.
Intended learning outcomes
After the course, the student should be able to:
- Develop research questions that allow for exploratory and inductive inquiry into an empirical case through an iterative process of data collection, analysis, and storytelling.
- Apply selected methods and conceptual tools to analyze complexity in an empirical case.
- Interpret the data and the visualizations generated using the technical and conceptual tools provided in the course.
- Reflect upon the decisions made in the research process relating the data and the visualizations to the development of the research question or focus.
- Discuss the relationship between chosen methods, theories, data, and their implications for the findings in a concise manner.
14 weeks of teaching consisting of lectures, exercises and supervision.
Each week students have 4 hours of lecture and 4 hours of exercises.
During exercises students will be divided into groups of approximately 40 working with TAs to practically engage with the exercises and topics of the week.
There are 10 mandatory activities in the course (nine written and one oral). These must be completed before participation in the final group report submission and oral exam.
The written activities are the submission of individual weekly reflections on the course literature (one per week for a total of nine out of eleven). These reflections allow the students to familiarise themselves with the course curriculum and prepare them for the oral exam.
The student will receive the grade NA (not approved) at the ordinary exam, if the mandatory activities are not approved and the student will use an exam attempt.
The course literature is published in the course page in LearnIT.
Student Activity BudgetEstimated distribution of learning activities for the typical student
- Preparation for lectures and exercises: 20%
- Lectures: 20%
- Exercises: 20%
- Assignments: 5%
- Project work, supervision included: 25%
- Exam with preparation: 2%
- Other: 8%
Ordinary examExam type:
D: Submission of written work with following oral, Internal (7-point scale)
D2G: Submission for groups with following oral exam supplemented by the submission. Shared responsibility for the report.
The group report is evaluated on the basis of demonstration of fulfillment of the intended learning objectives for the course.
The length of the final group report is at minimum 15 normal pages + 3 additional pages per student in the group. For example, a group consisting of four people will need to hand in a 27-page report at minimum. There is no maximum page limit, but the suggested length is the same as minimum length. In other words, a report of any length will be considered a valid submission, but reports that exceed the minimum length should ensure that everything included in the report is necessary, as the exam assesses reporting "in a concise manner".
The oral exam is conducted individually based on the submitted report and the curriculum. Each student is examined for 20 minutes followed by 10 minutes for grading and feedback.
Individual exam : Individual student presentation followed by an individual dialogue. The student is examined while the rest of the group is outside the room.
Time and dateOrdinary Exam - submission Fri, 11 Dec 2020, 08:00 - 14:00
Ordinary Exam Mon, 11 Jan 2021, 09:00 - 19:00
Ordinary Exam Tue, 12 Jan 2021, 09:00 - 19:00
Ordinary Exam Wed, 13 Jan 2021, 09:00 - 19:00
Ordinary Exam Thu, 14 Jan 2021, 09:00 - 19:00
Ordinary Exam Fri, 15 Jan 2021, 09:00 - 19:00
Ordinary Exam Mon, 18 Jan 2021, 09:00 - 19:00
Ordinary Exam Tue, 19 Jan 2021, 09:00 - 19:00
Ordinary Exam Wed, 20 Jan 2021, 09:00 - 19:00
Ordinary Exam Thu, 21 Jan 2021, 09:00 - 19:00
Ordinary Exam Fri, 22 Jan 2021, 09:00 - 19:00