Course syllabus autumn 2024
Course syllabus autumn 2024
Title
Innovation and Business Models for IoT
Swedish title
Innovation och affärsmodeller för IoT
Course code
DA644E
Credits
7.5 credits
Grading scale
UA / Excellent (A), Very Good (B), Good (C), Satisfactory (D), Pass (E) or Fail (U)
Language of instruction
English
Decision-making body
Faculty of Technology and Society
Establishment date
2022-05-03
Syllabus approval date
2022-05-03
Syllabus valid from
2024-09-02
Entry requirements
- Bachelor of Science in Engineering (at least 180 credits) or a bachelor’s degree in computer science or related fields such as computer engineering, computer and information science, software engineering, informatics, telecommunications or electrical engineering.
- At least 15 credits in programming.
- Equivalent of English 6.
- A minimum of a passing grade for the course: Introduction to IoT (DA640E)
Level
Advanced level
No main field.
Progression level
A1F
Progression level in relation to degree requirements
This course is part of the Computer Science: Internet of Things, Master’s Programme and the main field of computer science and may be included in the degree requirements for the master’s degree (120 credits) in computer science.
Course objectives
The students will gain an overview and explore theories, methods and processes for innovation in general, as well as innovation related to computer science and the IoT. The students will also develop their business thinking skills as well as their understanding of business models in general, and the business models used in the IoT field in particular.
Course contents
The course includes:
- Innovation and innovation processes relevant to the IoT
- Entrepreneurship/intrapreneurship
- Change management
- Business thinking and business models for the IoT
- Ethics and sustainability
- Success stories, failures and challenges
Learning outcomes
Knowledge and understanding
To pass the course, the student must be able to:
1. explain central concepts, tools and methods, such as innovation and innovation processes, entrepreneurship, change management, sustainability and business models relevant to the IoT
2. explain in what way these tools and methods can be used to develop solutions for different challenges.
Skills and abilities
To pass the course, the student must be able to:
3. given a challenge, select and use appropriate processes, methods and tools to develop and evaluate IoT solutions and concepts
4. present and discuss different concepts, methods, tools and solutions relevant to IoT innovations in a manner adapted to the target group.
Judgement and approach
To pass the course, the student must be able to:
5. evaluate information and critically reflect on the theories, reasoning and activities discussed within the course
6. critically evaluate activities and results related to IoT innovations, account for their possibilities and limitations, and evaluate, manage and argue for their impact in relation to society, ethics and sustainability.
Learning activities
The course includes lectures, workshops, seminars and presentations. Independent study and group work are also carried out.
Assessment
Grading is based on oral and written examination, including active participation, through the following parts:
- Seminars and workshops with associated assignments – 5 credits – UG – examines learning outcomes 1-3
- Report – 2.5 credits – UA – examines learning outcomes 4-6
Requirements for passing grades (A-E): Passing grade for all parts. The final grade is based on the module report.
Course literature
Reference materials:
- Brody, P., & Pureswaran, V. (2014). Device democracy: Saving the future of the Internet of Things IBM. IBM Global Business Services Executive Report. Retrieved from http://m2mworldnews.com/download/white-papers/IBM-Saving-the-future-of-IoT.pdf
- Manzini, E., & Coad, R. (2015). Design, When Everybody Designs: An Introduction to Design for Social Innovation. In K. Friedman & E. Stolterman (Eds.), Design Thinking, Design Theory
- Saldana, J., Arcia-Moret, A., Braem, B., Pietrosemoli, E., Sathiasselan, A., & Zennaro, M. (2016). Alternative Network Deployments: Taxonomy, Characterization, Technologies, and Architectures. Retrieved from http://www.rfc-editor.org/info/rfc7962
Other relevant literature (e.g., books and scientific articles) is provided during the course by the teacher, or selected by the student.
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
Interim rules
If a course is no longer offered, or has undergone significant changes, the students must be offered two opportunities for re-examination based on the syllabus that applied at the time of registration, for a period of one year after the changes have been implemented.
Additional information
If a student has a Learning support decision, the examiner has the right to provide the student with an adapted test, or to allow the student to take the exam in a different format. The syllabus is a translation of a Swedish source text.