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2014/2015  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
Course period 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 - Department of IT Mangement (ITM)
Main academic disciplines
  • Information Systems
Last updated on 17-11-2014
Learning objectives
After completing the course, the students should be able to:
  • Identify the main components composing the Internet of Things
  • Describe the concept of the Internet of Things in terms of models
  • Explain how tools and technologies (e.g., RFID/NFC, sensors, embedded systems, and smartphones) are used to create new Internet of Things solutions
  • Reflect using different frameworks for the use of the Internet of Things
  • Analyze, design or develop parts of an Internet of Things solution and map it toward selected business model(s)
  • Assess different Internet of Things technologies (e.g., RFID, sensors, embedded systems, and smartphones) and their applications.
  • Critically evaluate ethical and potential 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 Term
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.

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. 

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)
  • (MIS) Pedersen, Rasmus Ulslev and Pedersen, Mogens Kühn, Micro Information Systems: New Fractals in an Evolving IS Landscape (PDF distribution)
  • http://www.w3schools.com/json/

 
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
  • Coulouris, G., Dollimore, J., and Kindberg, T., Distributed Systems: Concepts and Design, 5th edition,  Addison-Wesley,  2011
  • Go book: http://www.miek.nl/files/go/
  • Java Programming Book, Thinking in Java  or the Java: How to program 9th ed. By Deitel
  • http://www.tutorialspoint.com/python/index.htm

 

Last updated on 17-11-2014