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2017/2018  KAN-CINTO1014U  Internet of Things

English Title
Internet of Things

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
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
  • Rasmus Pedersen - DIGI
Main academic disciplines
  • Information technology
Last updated on 29-06-2017

Relevant links

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • Understand the main technical concepts, models, and frameworks of 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 (e.g., RFID/NFC, sensors, embedded systems, and smartphones) and their applications
  • Evaluate technical, ethical, privacy, and security issues related to the Internet of Things
  • 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
1) Strong knowledge of one or (preferably) more programming languages.
2) Understanding of distributed computer systems
3) Prior knowledge of technologies such as IP; HTTP, XML, and JSON
4) Prior knowledge of data mining and big data algorithms
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 exam
Size of written product Max. 15 pages
One part of the assignment is for a more self-chosen focus by the student. The second part of the assignment is reserved to a technical focus, which is determined by the semester assignment.
Assignment type Report
Written product to be submitted on specified date and time.
20 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
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

The Internet of Things exam is an oral exam based on a written product, which again is partly or fully based on a technical IoT solution. The written product is based on two items. One item is a topic that the student choose themselves and it counts for the majority of the evaluation. The second item is a technical part which counts for less, but ensures a good baseline of actual technical content such as NFC, embedded data mining, mobile apps, etc. At approx. the first half of the semester, the semester assignment is uploaded and provided to the the students. 

Course content and structure

Main aim of the course
The basic technical idea of the Internet of Things 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.

Teaching methods
Classroom teaching.
Feedback during the teaching period
Office hours: Office hours will provide feedback to all the students who will discuss some aspects of the material in more depth.

After class: In continuation of the class there is also the possibility of discussing with the teacher to get feedback on both the material and the semester assignment.

Workshop: The class features a large workshop where the students get a lot of feedback from the teacher. This workshop also allows some students to present to the rest of the class for peers feedback.

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

 The final literature is announced on the main forum for the class on LEARN three weeks before the class starts.irst week of the before they buy the books.


Selected Chapters from the Following Literature (finalized on CBS Learn before the class starts):


  • Pedersen, R. U. & Pedersen, M. K. (2013). Micro Information Systems: New Fractals in an Evolving IS Landscape, IDG Global (PDF distributed)
  • Uckelmann, D., Harrison, M., & Michahelles, F. (2011). Architecting the Internet of Things, Springer (students must get this book)
  • Chun-Wei Tsai, Chin-Feng Lai , Ming-Chao Chiang, Laurence T. Yang (2013) Data Mining for Internet of Things: A Survey, IEEE Communications Surveys & Tutorials, (16)1
  • Chapter 19, Coulouris, G., Dollimore, J., & Kindberg, T. (2011) Distributed Systems: Concepts and Design, 5th edition,  Addison-Wesley (PDF distributed or the students have it.
  • Articles that supplement the main coursebook

Optional Reading List (finalized on CBS Learn before the class starts):


  • Porter, M. & Heppelmann, J. (2015). How smart, conected products are transforming industry. Harvard Business Review
  • Porter, M. & Heppelmann, J. (2014). How smart, connected products are transforming competition. Harvard Business Review
  • http:/​/​guidetodatamining.com/​
  • Students will select additional litterature (approx. 10-20 academic articles) for their individual semester assignments.


Last updated on 29-06-2017