ACIT4015 Internet of Things Course description

In this course, the students will gain an advanced understanding of some of the most important principles of the Internet of Things (IoT). IoT enables the development of unique, innovative products and services. The students will become familiar with architecture and intelligent algorithms that govern IoT and pervasive computing. In addition, the students will get to investigate a particular IoT related case in more depth. The goal of the course is to give the students an overall understanding of IoT: from a technical point of view - and in relation to the consequences for society (for example privacy preservation, security) - when billions (or trillions) of units communicate with each other in ‘the cloud’.

Ingen

No requirements over and above the admission requirements.

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 thorough 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 a deep 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
• is able to contrast and discuss IoT-related designs relative to their own field of study

General competence

The student

• is capable of designing solutions based on the principles behind the Internet of Things and pervasive computing
• is capable of communicating aspects of IoT in relationship to their own field of study

The course will mainly consist of lectures and supervisory sessions. The students work individually on exercises given throghout the course. In addition, the students will work in groups of two on a project involving IoT. In rare cases, the size of the group may be adjusted, depending on the judgement of the course responsible. A project report documenting the project and its results will be handed in at the end of the course.

Emnet tar for seg naturvitenskapelig basiskunnskap. Hensikten med emnet er at studenten skal tilegne seg kunnskap om menneskets normale oppbygning (anatomi) og funksjon (fysiologi) samt biokjemiske prosesser som påvirker den normale kroppen. Avsluttende vurdering i emnet gjennomføres i form av en nasjonal eksamen basert på felles, nasjonale læringsutbyttebeskrivelser.

Opptak til studiet.

Etter gjennomført emne har studenten følgende læringsutbytte definert i kunnskap, ferdigheter og generell kompetanse:

Kunnskap

Studenten

• kan navngi anatomiske strukturer og organer i menneskekroppen
• kan beskrive organers beliggenhet i forhold til hverandre
• kan beskrive anatomisk oppbygning i betydningen
  • makroanatomisk: organ og organsystem
  • mikroanatomisk: celler og vev
• kan beskrive ulike organer og organsystemers oppgaver i kroppen
• kan gjøre rede for normal fysiologi i de ulike organene og organsystemene
• kan gjøre rede for reguleringsmekanismer og homeostase i den friske kroppen

Ferdigheter

Studenten

• kan formidle grunnleggende kunnskap om menneskekroppens anatomi og organsystemer, samt fysiologiske og biokjemiske prosesser

Generell kompetanse

Studenten

• erkjenner at kunnskap i emnet har betydning for utøvelse av faglig forsvarlig sykepleie

Forelesninger, gruppearbeid, skriftlige oppgaver, veiledning, flervalgsoppgaver, og selvstudier.

Følgende arbeidskrav må være godkjent for å fremstille seg til eksamen:

• 80 prosent tilstedeværelse på seminar
• 60 prosent riktig svar på digitale flervalgsoppgaver

Individuell skriftlig eksamen under tilsyn, 4 timer

Gradert skala A-F