ACIT4015 Internet of Things Emneplan

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’.

General knowledge about information security, data processing and information system architecture would be beneficial.

No requirements over and above the admission requirements.

Privacy by Design is a fundamental requirement of the General Data Protection Regulation (GDPR) for all systems operating on personal information. This course provides an introduction to privacy and data protection including the legislation such as the GDPR, privacy enhancing technologies, privacy management, designing for privacy, and privacy patterns in software design. It enables the students to understand regulation, to identify privacy risk and consequences of data breaches, introduces them to privacy controls and builds skills in their application in a structured privacy engineering process.

Knowledge

On successful completion of this course the student has:

• knowledge of basic legal privacy concepts and data protection regulations and will be able to apply them in systems analysis and design
• knowledge of concepts of privacy by design and privacy impact assessment and the ability to compare different assessment methods
• applicable knowledge of principles of architectural tactics for privacy and privacy patterns.

Skills

On successful completion of this course the student can:

• map legal privacy principles to technical privacy concepts
• design and plan solutions that map security and privacy goals to mitigation mechanisms and technologies
• apply privacy by design and analyze software architectures using privacy impact assessments

• apply appropriate architectural tactics for privacy and privacy patterns in order to derive and create solutions that mitigate privacy risks

General competence

On successful completion of this course the student can:

• explain and apply their knowledge of security and privacy enhancing technologies

• Online course material for preparatory reading (flipped classroom approach)
• Bi-weekly lecture and case discussions
• Bi-weekly presentations of student home assignment cases

Individual written digital exam, 3 hours. The exam result can 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.

None.

Grade scale A-F

Prof. Lothar Fritsch

The course has 8 ECTS of overlapping content toward ADSE1310.