Decision Making in Media Technology

Summary

Admission requirements

  1. Degree of bachelor in Media Technology or in a related field. Examples of relevant degrees include, but are not limited to: computer science, informatics, information systems, human-computer interaction, interaction design, media/IT management, game development, media and communication studies, and digital cultural studies. All degrees must be equivalent to at least 180 higher education credits.
  2. The equivalent of English 6/English B in Swedish secondary school.

Selection:

credits 100%

Syllabus

Syllabus for students autumn 2018, autumn 2017

Course Code:
ME612A revision 1.1
Swedish name:
Beslutsfattande inom medieteknik
Level of specialisation
A1N
Main fields of study:
Media Technology
Language:
English
Date of ratification:
29 August 2017
Decision-making body:
Faculty of Technology and Society
Enforcement date:
28 August 2017
Replaces Syllabus ratified:
15 November 2016

Entry requirements

  1. Degree of bachelor in Media Technology or in a related field. Examples of relevant degrees include, but are not limited to: computer science, informatics, information systems, human-computer interaction, interaction design, media/IT management, game development, media and communication studies, and digital cultural studies. All degrees must be equivalent to at least 180 higher education credits.
  2. The equivalent of English 6/English B in Swedish secondary school.

Specialisation and progression relative to the degree regulations

The course meets the degree requirement for the degree of Master (One Year), main field of study Media Technology.

Purpose

The course objective is for the student to develop theoretical knowledge and apply practical tools for critical and timely decision making in the field of media technology. This means developing and demonstrating an understanding and ability of how to make sense of ambiguous situations, deal with challenges of rapid change, assess risks and make strategic decisions. The course may be carried out in collaboration with industrial partners.

Contents

  • Theories of decision-making
  • Decision-making tools
  • Management of ambiguous situations
  • Critical thinking and critical decision making
  • Framing opportunities and risks
  • Scenario building and foresight
  • Digital decision-making

Learning outcomes

Knowledge and understanding
On completion of the course the student shall demonstrate ability to:

  • Show understanding of a range of decision-making theories
  • Demonstrate knowledge of decision-making tools
  • Explain means of digital decision making
Skills and abilities
On completion of the course the student shall demonstrate ability to:
  • Assess ambiguous situations and develop plans for decision making in such situations
  • Diagnose a decision situation and design an efficient process to make the decision
  • Define risks and opportunities in rapidly changing environments
  • Use appropriate tools for decision making
  • Work with data acquisition, processing of data sets, and interpreting and assessing of this material
  • Develop critical arguments on the broader impact of decisions made
Judgement and approach
On completion of the course the student shall demonstrate ability to:
  • Summarize and critically reflect on appropriate decisions in relation to social, media technical and economical aspects

Learning activities

Lectures, workshops, seminars and individual and group self studies.

Assessments

The course is examined through oral and written examination and assignments.

Requirements for pass:

  • Written assignments (2.5 credit)
  • Seminars (2 credits)
  • Project assignments (3 credits)
To pass the course at least grade G on each part is required. To obtain VG for the entire course, VG is required on the written assignments or project assignments.

Grading system

Fail (U), Pass (G) or Pass with Distinction (VG).

Course literature and other teaching materials


Recommended literature
  • Peterson, M. (2009). An Introduction to Decision Theory. Cambridge: Cambridge University Press
Articles may be added as recommended reading.


Reference literature
  • Bonnett, A. (2011). How to Argue: Smarter study skills. 3 ed. Harlow: Pearson Education Limited
  • Clemen R. & Reilly T. (2014). Making Hard Decisions with Decision Tools. Mason, OH, USA : South-Western, Cengage Learning
  • Dodge, R.V. (2012). Schelling’s Game Theory: How to Make Decisions. New York: OUP
  • Gilboa, I. & Schmeidler, D. (2001). A Theory of Case-Based Decisions. Cambridge: Cambridge University Press
  • Osterwalder, A. & Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. Hoboken: John Wiley & Sons

Course evaluation

The university provides all students who are participating in, or have completed, a course to express their experiences and views on the course through a course evaluation which is organized at the end of the course. The university will collate the course evaluations and provide information about their results and any actions prompted by them. The results shall be made available to the students. (HF 1:14).

Interim rules

When a course is no longer given, or the contents have been radically changed, the student has the right to re-take the examination, which will be given twice during a one year period, according to the syllabus which was valid at the time of registration.

Contact

The education is provided by the Faculty of Technology and Society at the department Computer Science and Media Technology.

Further information

Samuel Andersson, Student Services Assistant
Phone: 040-6657759
Sven Packmohr, Course Responsible

Application

11 December 2017 - 14 January 2018 Day-time 100% Malmö Schedule This course is offered as part of a program

Tuition fees

for non-EU students only

First instalment: 14000 SEK
Full tuition Fee: 14000 SEK

11 December 2017 - 14 January 2018 Day-time 100% Malmö Schedule

Tuition fees

for non-EU students only

First instalment: 14000 SEK
Full tuition Fee: 14000 SEK

17 December 2018 - 20 January 2019 Day-time 100% Malmö This course is offered as part of a program