| Learning objectives |
To achieve the grade 12, students
should meet the following learning objectives with no or only minor
mistakes or errors:
- Understand the concept of the Internet of Things and its impact
for business innovation.
- Familiar with the tools and technologies (e.g., RFID, sensors,
embedded systems, and smartphones) required to create new business
solutions.
- Awareness of important contributions from stream mining
intelligence, privacy preserving data mining, business intelligence
in order to make devices smart.
- Familiar with the design process (from ideation to prototyping)
of systems that handle large amounts of data (generated from
ubiquitous data).
- Analyse different frameworks for the use of the Internet of
Things: Strategic implications, user design and design science, and
technical challenges in particular related to form and
function.
- Assess different Internet of Things technologies (e.g., RFID,
sensors, embedded systems, and smartphones) and their
applications.
- - Define, use and manipulate data acquired via an
Internet-enabled device in different ways.
- Design/Develop parts of an Internet of Things solution to
create business values.
- Act as liaison between the developers and users of Internet of
Things devices.
- Critically evaluate ethical and security issues related to the
Internet of Things.
|
| Examination |
|
Internet of
Things:
|
| Exam ECTS |
7,5 |
| Examination form |
Oral exam based on written product
In order to participate in the oral exam, the written product
must be handed in before the oral exam; by the set deadline. The
grade is based on an overall assessment of the written product and
the individual oral performance. |
| Individual or group exam |
Individual |
| Size of written product |
Max. 20 pages |
| Assignment type |
Report |
| Duration |
Written product to be submitted on specified date and
time.
30 min. per student, including examiners' discussion of grade,
and informing plus explaining the grade |
| Preparation time |
No preparation |
| Grading scale |
7-step scale |
| Examiner(s) |
Internal examiner and second internal
examiner |
| Exam period |
Spring |
| Aids allowed to bring to the exam |
Closed Book |
| Make-up exam/re-exam |
Same examination form as the ordinary
exam
|
|
| Course content and
structure |
|
Main aim of the course
The basic idea of the Internet of Things (and Big Data) is that
virtually every physical thing in this world can also become a
computer that is connected to the Internet. When they do so, they
are often called smart things, because they can act smarter than
things that have not been tagged. In business, Internet of things
can create new business models, improve business processes, and
reduce costs and risks. Students will gain advanced knowledge of
key theories and concepts of the Internet of Things. They will
acquire specialised problem-solving skills, being able to analyse
and design new business solutions based on Internet of Things
technology. They shall take responsibility to conduct design and
implementation of new business solutions, and evaluate the business
value.
An example of IoT challenges in relation to the “Managing the IT
Resources” specialization is the relation between embedded systems
and the organization. Embedded systems invites to new ways of
collaborating within and beyond the organizational boundary.
An example of IoT within the area of the “Designing Information
Systems for the Future” specialization relates to the extra
dimension of embedded IS which has to be taken into account when
developing systems. Both in relation to systems architecture and in
relation to the more comprehensive development process.
An example of IoT in relation the “Design for Use and Users”
specialization is how the radical changes in the technology
interface changes the interaction with technological artifacts.
Technology, tools, and platforms
A number of different technologies and tools may be offered in
continuation of this course to support diverse student projects.
Technologies offered can include tablets, RFID tags, Bluetooth
devices, proximity/touch/temperature/light sensors, IPv6 network,
Zigbee etc.
Tools which support the design process in an Internet of Things
setting include flexible design frameworks. It will also be
possible to use unified modelling language tools to support a
learning objective of being able to act as a liaison between users
and developers of Internet of Things.
|
| Teaching methods |
| Classroom teaching. |
| Student workload |
| Lectures |
24 hours |
| Prepare to class |
100 hours |
| Workshops |
20 hours |
| Exam and prepare |
63 hours |
|
| Expected literature |
|
Selected Chapters from the Following
Literature:
- Main textbook: (AIT) Uckelmann, D., Harrison, M., &
Michahelles, F. (2011). Architecting the Internet of Things.
Retrieved August 14, 2012, from
http://www.springer.com/engineering/production+engineering/book/978-3-642-19156-5
- (DSR) Hevner, A. and Chatterjee, S. (2010). Design Research in
Information Systems: Theory and Practice (Springer Integrated
Series in Information Systems)
- (DSYS) Coulouris, G., Dollimore, J., and Kindberg, T.,
Distributed Systems: Concepts and Design, 5th edition,
Addison-Wesley, 2011
- (GO) Go book:
http://www.miek.nl/files/go/
- (JAVA) Java Programming Book, Thinking in Java or the
Java: How to program 9th ed. By Deitel.
- (MIS) Design Guidelines for IoT and Micro Information Systems,
Pedersen, Rasmus Ulslev, PDF (updated throughout the course)
- (MIS2) Pedersen, Rasmus Ulslev and Pedersen, Mogens Kühn, Micro
Information Systems: New Fractals in an Evolving IS Landscape (PDF
distribution)
Optional Reading List
- Atzori, L., Lera, A. and Morabito, G. (2010). The Internet of
Things: A survey, Computer Networks, 54, 2787-2805
- Chaouchi, H. (Ed.) (2010). The Internet of Things,
Wiley, Great Britain.
- Haller, S., Karnaouskos, S. and Schroth, C. (2009). The
Internet of Things in an Enterprise Context. Lecture notes in
computer science, 5468, 14-28.
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