Facts about the course

ECTS Credits:
7.5
Responsible department:
Faculty of Logistics
Course Leader:
James Charles Wen
Lecture Semester:
Autumn
Teaching language:
English
Duration:
½ year

IBE405 The Internet of Things and Smart Cities (Autumn 2024)

About the course

Modern urban centers that capitalize on technologies can transform themselves into Smart Cities, a term that refers to the application of digitalization to improve infrastructure and services from water supply and waste disposal to better municipal administration and higher quality of life in an environmentally sensitive and sustainable manner .

In this course, we will look at Smart Cities and the primary underlying enabling technology referred to as the Internet of Things (IoT). IoT combines the digital and physical worlds in seamless information infrastructures that collect data from sensors, distribute the data to interested parties, and produce actionable results to support decision making and better living on an individual and societal level.

We will cover theories of smart cities and examine existing applications and implementations of such visions. We will balance this with a hands-on approach to the foundational technologies, learning aspects of programming with sensors and working with hardware components that make smart cities possible.

The course is connected to the following study programs

Recommended requirements

Programming ability is required

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
IBE405N – Cyber-physical Systems and Smart Cities (net course) 7.5

The student's learning outcomes after completing the course

On completion of the course the student will have knowledge of:

  • the theory and principles of Smart Cities,
  • the socio-centric as well as techno-centric perspectives of Smart Cities,.
  • representative smart city projects,
  • the foundations of IoT digital smart city architectures,
  • the primary hardware and software involved in the deployment of IoT.

The student will have competence to:

  • assess how IoT technologies can address needs identified for Smart Cities, and
  • contribute in projects seeking or developing IoT Smart Cities solutions.

The student will have acquired skills in:

  • basic hands-on experience with IoT systems,
  • programming IoT prototypes,
  • ability to visualize and analyze data relevant to Smart Cities,
  • developing sensor-based architecture, 
  • assessing communication options for IoT systems within Smart Cities, and
  • analyzing data relevant to Smart Cities.

Forms of teaching and learning

2 hour lectures per week plus 2 hours per week lab activity with guidance from teachers and teaching assistants.

Coursework requirements - conditions for taking the exam

  • Mandatory coursework: Assignment(s)

  • Courseworks given: 4

  • Courseworks required: 4

  • Presence: Required

Examination

  • Form of assessment: Practical project assessment
  • Proportion: 70%
  • Duration: 3.5 weeks
  • Grouping: Group
  • Grading scale: Letter (A - F)
  • Support material: All printed and written supporting material
  • Form of assessment: School assessment
  • Proportion: 30%
  • Duration: 4 hours
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Support material: None

Course evaluation

The evaluation for this course will adhere to whatever policy the university has in place for quality assurance.

Last updated from FS (Common Student System) July 16, 2024 7:20:16 AM