ACIT4015 Internet of Things Course description

The Internet of Things (IoT) enables the development of unique, innovative products and services. In this course, students will gain an advanced understanding of some of the most important principles relating to IoT.

Students will become familiar with architecture and intelligent algorithms that govern IoT and pervasive computing and will get to investigate a particular IoT related case in more depth. The goal of the course is to give 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’.

An interest for networking, computer and software architecture.

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 and computer networks
• has an overview of the most important principles in ambient computing, 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 the Internet of Things
• has an overview of important principles in IoT-adjacent knowledge areas such as information security and information privacy / data protection
• 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
• has insight into the use cases and applications of IoT.

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 understanding and evaluating 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

Undervisningen består i forelesninger som presenterer sentrale tema i emnet og prosjektarbeid i workshops hvor både gruppearbeid og eget, selvstendig arbeid inngår. Det gis individuell veiledning og gruppeveiledning. Studentene deltar i undervisningen og i gruppearbeid. Det stilles store krav til selvstendig, kreativt arbeid og kritisk refleksjon. Det blir utarbeidet detaljerte undervisningsplaner for workshops, prosjekt og forelesninger med utgangspunkt i emneplanen.

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

• en plan for presentasjon og visning av eget prosjekt som følges av praktisk-estetisk materiale og dokumentasjon av estetiske referanser

Individual oral examination (20 minutes).

The exam result cannot be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

I forbindelse med avsluttende vurdering benyttes en karakterskala fra A til E for bestått (A er høyeste karakter og E er laveste) og F for ikke bestått.

To interne sensorer. Ekstern sensor brukes jevnlig.

Two internal examiners. External examiner is used periodically.

The course has 8 ECTS of overlapping content toward ADSE1310.