EPN-V2

ADSE1310 Internet of Things Course description

Course name in Norwegian
Internet of Things
Study programme
Bachelor in Applied Computer Technology
Bachelor's Degree Programme in Software Engineering
Bachelor's Degree Programme in Information Technology
Weight
10.0 ECTS
Year of study
2019/2020
Curriculum
SPRING 2020
Schedule
Programme description
Course history

Introduction

Gradert skala A-F.

Recommended preliminary courses

The course builds on the computer science courses from the first semester.

Required preliminary courses

  • 10 studiepoeng overlapp med SYKK/SYKP1400 Sykdom og helsesvikt, 10 stp.
  • 3 studiepoeng overlapp med SYKK/SYKP1300 Farmakologi og legemiddelhåndtering, 5 stp.
  • SYKK1410, SYKP1410 og SYKD1410 er fullt overlappende.

Learning outcomes

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

  • has a basic technical understanding of the functioning of Internet og computer networks
  • has an overview of the most important principles in pervasive computing, and the Internet of Things, which include wearable devices, context aware computing, health monitoring, smart houses, crowd sensing, smart grids and ambient intelligence
  • understands the basic technical principles behind different algorithms for autonomous control in the Internet of Things
  • has an understanding of how the Internet of Things and pervasive computing affect security and the protection of privacy in our society
  • has good knowledge of the scientific advances and technology leaps that enabled the Internet of Things

Skills

The student

  • masters basic concepts and has an overview of algorithms used on the internet and in data communication
  • is capable of conceptualising architecture for solutions based on the Internet of Things and pervasive computing

General competence

The student

  • is capable of designing solutions based on the principles behind the Internet of Things and pervasive computing

Teaching and learning methods

Lectures and supervisory sessions. The students work individually.

Course requirements

The following coursework is compulsory and must be approved before the student can take the exam:

  • Three compulsory assignments. Each assignment corresponds to 30 hours’ work.

The deadlines for submitting the compulsory assignments and other details are stipulated in the teaching plan made available at the start of the semester.

Assessment

An individual three-hour written exam.

The exam result can be appealed.

Permitted exam materials and equipment

All printed and handwritten aids.

Grading scale

Grade scale A-F.

Examiners

One examiner. The course may be selected for grading by external examiners.