Course content

A larger and relatively complex IoT system will be developed with issues that the candidate encounters by making use of the topics from the specialization subjects that he/she has chosen this semester, as well as the experiences from previous semesters.

The academic content will depend on the specialization subjects that the candidate has chosen

Learning outcome

Knowledge

The candidate must understand

• how the chosen specialization topics interact with each other, both in practical terms to make a complex IoT solution work, and in that they will affect each other's performance.

Skills

The candidate must be able to

• develop a larger IoT system where he/she makes full use of the in-depth understanding that this semester provides within wireless connectivity, embedded systems and smart sensor systems.

General competence

The candidate must

• demonstrate a high degree of independence and ability to acquire new knowledge and build competence where the relevant challenge is not an explicit part of the syllabus

Learning methods and activities

Project work in groups. Dialogue-based forms of learning in combination with lectures. Guest lectures and excursions. Some assignments to be handed in

Compulsory assignments

• Compulsory attendance
• Assignments

Further on evaluation

The assessment in the subject takes place on the basis of submitted project reports. The number of reports and deadlines are given at the start of the semester. All the elements in the portfolio must be passed for a passing final result. It is compulsory to attend the course and some compulsory assignments. Number of assignments and deadlines are given at the start of the semester.

Specific conditions

Required previous knowledge

IELS2003 Ingeniørprosjekt III or equivalent.

Course materials

Will be communicated at the start of the semester