Emerging Digital Technologies

Summary

The purpose of the course is that the student creates an overview and develops knowledge about, and experiences of, emerging digital technologies. The student also develops the ability to assess how these can be used as tools to solve complex challenges in a digitalised society.

Admission requirements

  1. Bachelor's degree or equivalent of at least 180 credits in the subject of computer science or related and relevant subjects. Examples of such subjects include informatics, computer and information science, information systems, interaction design, human-computer interaction and media technology.
  2. At least 15 credits in programming, system development or equivalent.
  3. Knowledge equivalent to English 6 at the Swedish upper secondary level
In addition to the above formal entry requirements, it is also assumed that the student has knowledge from the course Innovation and entrepreneurship in a digital society.

Selection:

credits 100%

Syllabus

Syllabus for students autumn 2020

Course Code:
DA621E revision 1.1
Swedish name:
Framväxande digitala teknologier
Level of specialisation
A1N
Main fields of study:
Computer Science
Language:
English
Date of ratification:
26 August 2019
Decision-making body:
Faculty of Technology and Society
Enforcement date:
31 August 2020
Replaces Syllabus ratified:
25 March 2019

Entry requirements

  1. Bachelor's degree or equivalent of at least 180 credits in the subject of computer science or related and relevant subjects. Examples of such subjects include informatics, computer and information science, information systems, interaction design, human-computer interaction and media technology.
  2. At least 15 credits in programming, system development or equivalent.
  3. Knowledge equivalent to English 6 at the Swedish upper secondary level
In addition to the above formal entry requirements, it is also assumed that the student has knowledge from the course Innovation and entrepreneurship in a digital society.

Specialisation and progression relative to the degree regulations

The course is part of the programme Computer Science: Innovation for change in a digital society and can be included in a Master's degree in Computer Science (120 credits)

Purpose

The purpose of the course is that the student creates an overview and develops knowledge about, and experiences of, emerging digital technologies. The student also develops the ability to assess how these can be used as tools to solve complex challenges in a digitalised society.

Contents

The course provides a theoretical overview of various emerging digital technologies. The student examines different applications of each technology and provides suggestions for solutions with the aid of one or more of these technologies. Relevant technologies in this area include:

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Virtual Reality (VR) and Augmented Reality (AR)
  • Internet of Things (IoT)
  • Application Programming Interface (API)
  • Interaction beyond screens (e.g. voice, gestures)
The student studies these techniques and the technologies behind them, as well as how they have been applied or can be applied in, for example, healthcare, school, logistics, transport and structuring society.

Learning outcomes

Knowledge and understanding
Once the course is completed, the student shall be able to demonstrate knowledge and understanding of:

  • emerging digital technologies, and
  • different areas of use for emerging digital technologies, as well as how they can be used to solve different types of societal challenges.
Competence and abilities
Once the course is completed, the student shall demonstrate competence and ability:
  • based on a problem, to select the appropriate technology(ies) to solve a societal challenge, and
  • to implement, evaluate and present a solution to such a challenge.
Evaluation abilities and approach
Once the course is completed, the student shall:
  • demonstrate the ability to make judgements taking into account relevant societal, sustainability and ethical aspects, and
  • evaluate strengths and weaknesses in emerging digital technologies and relate to constraints and opportunities in relation to them.

Learning activities

During the course a number of lectures, seminars, study visits and laboratory sessions are conducted. Other than this, the course is mainly carried out in the form of independent study and group work.

Assessments

Grading is based on oral and written examination, including active participation, through the following elements:

  1. Laboratory work - 6 credits - UG
  2. Group work - 5 credits - UA
  3. Report - 4 credits - UA
Requirements for pass grade (A-E): Pass in all elements. Final course grade is weighted according to:
  • Group work: 1
  • Report: 2

Grading system

Excellent (A), Very Good (B), Good (C), Satisfactory (D), Pass (E) or Fail (U).

Course literature and other teaching materials

Recommended reading:
  • Behmann, Fawzi. & Wu, Kwok (2015). Collaborative Internet of Things (C-IoT): for Future Smart Connected Life and Business. Chichester: John Wiley & Sons Ltd
  • Follett, J. (2014). Designing for Emerging Technologies UX for Genomics, Robotics, and the Internet of Things. Sebastopol, CA: O'Reilly
A collection of scientific articles will be added to the above mentioned literature.

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.

Other Information

The syllabus is a translation of a Swedish source text.

Contact

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

Further information

Application

09 November 2020 - 17 January 2021 Day-time 100% Malmö This course is offered as part of a program

Tuition fees

for non-EU students only

First instalment: 32000 SEK
Full tuition Fee: 32000 SEK

09 November 2020 - 17 January 2021 Day-time 100% Malmö Application code: mau-08340

National application round

Tuition fees

for non-EU students only

First instalment: 32000 SEK
Full tuition Fee: 32000 SEK

Application deadline 15 April

Apply