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2021/2022  KAN-CINTO1014U  Internet of Things

English Title
Internet of Things

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory (also offered as elective)
Level Full Degree Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc/MSc in Business Administration and Information Systems, MSc
Course coordinator
  • Ben Eaton - Department of Digitalisation
Main academic disciplines
  • Information technology
Teaching methods
  • Face-to-face teaching
Last updated on 13-04-2021

Relevant links

Learning objectives
  • Understand strategic commercial drivers including IoT business ecosystems and business models
  • Understand the main technical concepts, models, and frameworks of the Internet of Things
  • Evaluate selected technical, ethical, privacy, and security issues related to the Internet of Things
  • Analyse, using different Internet of Things frameworks: Strategic and operational implications, user centered design, and technical challenges in particular related to form and function (of embedded, pervasive, and ubiquitous systems)
  • Assess pros/cons of different Internet of Things technologies and their applications
  • Design/develop (parts of) a technical Internet of Things solution such as an embedded data mining algorithm and/or hardware platform to solve a given relevant problem
Course prerequisites
Prior knowledge and understanding of the following is advantageous:
• Programming
• Distributed computing systems
• Technologies such as IP, HTTP, XML and JSON
• Data mining and big data algorithms
Prerequisites for registering for the exam (activities during the teaching period)
Number of compulsory activities which must be approved (see section 13 of the Programme Regulations): 1
Compulsory home assignments
Students must complete a group project over the course of the module. They will work in teams of maximum 5 individuals. Groups will develop an IoT proof of concept project in teams consisting of both a technical hardware instantiation of an IoT thing and the commercial proposition that accompanies it. Groups will develop their project using concepts from the course. Oral feedback, with the intention of helping students develop their projecta, will be given to groups on a continuous basis in group discussions as they work on their projects in exercises throughout the module.

The compulsory assignment concerns a group presentation (max 10 PowerPoint slides) and a demonstration of their working IoT proof of concept. Each group must give this presentation at the end of the course and it will summarize their project and demonstrate their working proof of concept. They will upload and submit this presentation as well as presenting their project in class. The presentation will be given by the whole group, and will provide material for their individual exam assignment. This activity is compulsory and must be approved in order for individuals to participate in the exam. Written feedback on each group presentation will then be provided one week after the presentation is given.

If a student cannot participate due to documented illness, or if a student does not get the activity approved in spite of making a real attempt, then the student will be given one extra attempt before the ordinary exam. The extra attempt will require handing in a written report of 10 pages on a topic assigned by the course instructor.
Internet of Things:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 15 pages
Assignment type Project
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Students can submit the same project or they can choose to submit a revised project.
Description of the exam procedure

The individual home based assignment is based on writing up the students interpretation of their group's IoT proof of concept project encompassing both the technical design of the IoT thing and the commercial proposition that accompanies it.

Course content, structure and pedagogical approach

Main aim of the course
The basic technical idea of the Internet of Things is that virtually every physical thing in this world can also become a small computer that is connected to the Internet. When they do so, they are often called 'smart things', and these smart things use embedded data mining to achieve their goals. Students will gain advanced technical knowledge of key theories, algorithms, models, frameworks, and technical solutions of the Internet of Things. In business, the Internet of Things can also create new business models, improve business processes, enhance supply chains, and reduce costs and risks.  The student  will acquire specialised problem-solving technical skills, being able to analyse and design new solutions based on Internet of Things technology. They shall take responsibility to conduct design and implementation of new Internet of Things solutions both on the hardware side and on the software side.

Technology, tools, and platforms
Internet of Things involve a number of different technologies: Programming, RFID, NFC tags, Bluetooth devices, proximity/touch/temperature/light sensors, IPv6 network, Zigbee etc.

Description of the teaching methods
The course consists of 8 lectures, 1 tutorial and 6 exercise sessions.
The 8 three hour lectures are split equally into content which is focused on the commercial aspects of IoT and content which is focused on the technical aspects of IoT. Guest lecturers will also attend to supplement the taught material with their practical experience.

Over the length of the course students will develop an IoT proof of concept project in teams consisting of both a technical hardware instantiation of an IoT thing and the commercial proposition that accompanies it.

The students efforts will be supported in 6 four hour exercise sessions where they and their teams will receive hands on help and advice as they develop their proof of concept. Each exercise session will have a focus on a particular technical aspect of the IoT.

There will also be an additional practical tutorial session early in the course where an external company will come in and coach the students to build an example set of IoT instantiations.
Feedback during the teaching period
Classes: During class there are group exercises which enable students to receive feedback on the course material and their progress concerning the group project assignment. Time is also set aside to address specific student questions.

Exercise sessions: Students will be working with their projects throughout the exercise sessions and will get continuous feedback on their work during these sessions. Feedback on project work, with the intention of helping students improve their projects, will be given collectively and to groups during these sessions. A key point for the feedback is the possibility to write a broad proposal outlining the project the group wishes to develop. This would encompass a plan outlining the commercial value proposition, an outline design and a description of what parts of the course they intend to use to address the project.

Office hours: Office hours provide opportunities for students to seek discussion and feedback on aspects of course material and prjects in more depth.

Mail: Students can (and do) send e-mails with questions and drafts of their assignments during the semester to get quick feedback on key questions or concerns.
Student workload
Lectures 24 hours
Class Preparation 100 hours
Workshops 19 hours
Exam and prepare 63 hours
Total 206 hours
Expected literature

The literature can be changed before the semester starts. Students are advised to find the final literature on Canvas before they buy the books.


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  • Rose, K., Eldridge, S., & Chapin, L. (2015). The internet of things: An overview. The Internet Society (ISOC), 1-50.
  • Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review, 93(10), 96-114
  • Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M., 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), pp.1645-1660.
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  • Dann et al. (2018) “Xiaomi: Designing an Ecosystem For the "Internet of Things"”. HBS Case: SCG540-PDF-CHI
  • Iansiti, Marco & Levien, Roy. (2004). Strategy as Ecology. Harvard business review. 82. 68-78, 126.
  • Leminen, S., Rajahonka, M., & Westerlund, M. (2017). Actors in the emerging Internet of Things ecosystems. International Journal of E-Services and Mobile Applications (IJESMA), 9(1), 57-75.
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  • Bucherer, E., & Uckelmann, D. (2011). Business models for the internet of things. In Architecting the internet of things (pp. 253-277). Springer, Berlin, Heidelberg.
  • Westerlund, M., Leminen, S., &  Rajahonka, M. (2014). Designing Business Models for the Internet of Things (July 2014). Technology Innovation Management Review 4(7): 5–14. 
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  • El Khaddar, M. A., & Boulmalf, M. (2017). Smartphone: the ultimate IoT and IoE device. Smartphones from an applied research perspective137. IntechOpen
  • Dunko, G., Misra, J., Robertson, J., & Snyder, T. (2017). A reference guide to the internet of things. Published By Bridgera LLC, North Carolina.
  • Ganguli, S., & Friedman, T. (2017). IoT technology disruptions: A Gartner trend insight report. 2017-06-15)[2019-06-05]. https://www. gartner. com/​en/​doc/​3738060-iot-technology-disruptions-a-gartner-tr end-insight-report.
  • Lueth, K. (2016). Guide to IoT solution development. IoT Analytics. https://iot-
  • analytics.com/​product/​guide-to-iotsolution-development/​
  • Zhou, W., Jia, Y., Peng, A., Zhang, Y., & Liu, P. (2018). The effect of iot new features on security and privacy: New threats, existing solutions, and challenges yet to be solved. IEEE Internet of Things Journal6(2), 1606-1616.
  • Riahi, A., Challal, Y., Natalizio, E., Chtourou, Z., & Bouabdallah, A. (2013, May). A systemic approach for IoT security. In 2013 IEEE international conference on distributed computing in sensor systems (pp. 351-355). IEEE.
Last updated on 13-04-2021