Internet of Things and People

Summary

Admission requirements

  1. The equivalent of English 6/English B in Swedish secondary school.
  2. At least 60 credits including at least 15 credits of Programming.

Syllabus

Syllabus for students autumn 2017, autumn 2016, autumn 2015

Course Code:
DA274A revision 1
Level of specialisation
G2F
Main fields of study:
No main fields
Language:
English
Date of ratification:
05 February 2015
Decision-making body:
Faculty of Technology and Society
Enforcement date:
31 August 2015

Entry requirements

  1. The equivalent of English 6/English B in Swedish secondary school.
  2. At least 60 credits including at least 15 credits of Programming.

Specialisation and progression relative to the degree regulations

Elective and single subject course.

Purpose

The aim of the course is for the students to get basic knowledge in the field of Internet of Things. This includes both technical knowledge, as well as knowledge about the opportunities and risks of the technology.

Contents

  • Sensor technology
  • Microprocessor Technology
  • Knowledge of various communication technologies such as WiFi and Bluetooth
  • Knowledge of security risks linked to the technology
  • Knowledge of privacy issues associated with the technology
  • Knowledge of different use cases for the technology such as "smart homes", "smart cities", "smart health" and "smart learning"

Learning outcomes

Knowledge and understanding
On completion of the course, the student shall:

  • describe the different technology choices behind the Internet of Things applications
  • show awareness of the safety risks within the area of Internet of Things
  • show awareness of privacy risks within the area of Internet of Things

Skills and abilities
On completion of the course, the student shall be able to:
  • analyze, structure and implement simple Internet of Things applications, based on both technical and social aspects
Judgment and Approach
On completion of the course, the student shall be able to:
  • critically discuss the pros and cons regarding the purpose, audience and customer benefits in relation to technology
  • critically reflect on their learning process

Learning activities

Theory combined with practical labs and workshop exercisese. Lectures approximately 10 hours, laboratory exercises approximately 30 hours, aproject work and individual studies approximately 160 hours.

Assessments

To pass:

  • Approved laboratory work (2,5hp)
  • Approved written exam (2 credits)
  • Approved project with reflection (3 credits)

To pass with distinction: Pass with distinction on written exam.

Grading system

Fail (U), Pass (G) or Pass with Distinction (VG).

Course literature and other teaching materials


  • Schwartz, Marco (2014). Internet of Things with the Arduino Yún [Elektronisk resurs]. Packt Publishing. www.packtpub.com/hardware-and-creative/internet-things-arduino-yún
  • Doukas, Charalampos (2012). Building Internet of Things with the Arduino. North Charleston SC: Createspace. www.buildinginternetofthings.com
  • Compendium of artikles

Course evaluation

The university provides all students who are participating in, or have completed, a course to express their experiences and views on the course through a course evaluation which is organized at the end of the course. The university will collate the course evaluations and provide information about their results and any actions prompted by them. The results shall be made available to the students. (HF 1:14).

Interim rules

When a course is no longer given, or the contents have been radically changed, the student has the right to re-take the examination, which will be given twice during a one year period, according to the syllabus which was valid at the time of registration.

Contact

The education is provided by the Faculty of Technology and Society at the department Computer Science and Media Technology.

Further information

Bodil Sterner, Student Services Assistant
Phone: 040-66 57620
Thomas Pederson, Course Responsible
Phone: 040-66 57236

Application

06 November 2017 - 14 January 2018 Day-time 50% Malmö Application code: mah-78067 This course is offered as part of a program

Tuition fees

for non-EU students only

First instalment: 16000 SEK
Full tuition Fee: 16000 SEK

Open for late application

Apply