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’.

General admission requirements for the program.

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. 

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

Two compulsory assignments:

• One project proposal, outlining the rationale and plan for the project. Between 500 and 1000 words.
• One project report, documenting the project and its results. Between 2500 and 5000 words.

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

An individual oral examination.

The exam result can not 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 applying 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.

All printed and handwritten aids.

For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

Two internal examiners. External examiner is used periodically.

Professor Lothar Fritsch

The course has 8 ECTS of overlapping content toward ADSE1310.