ACIT5910 Master's Thesis, Phase 1 Emneplan

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

The course will mainly consist of lectures and supervisory sessions. Students work individually on exercises or reading assignments given throughout the course. In addition, 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 course will provide background and preparatory reading materials. Reading assignments and media will be provided on the electronic learning platform.

The following coursework 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.

The following required coursework must be approved before the student can take the exam:

1. a draft text of the Phase 1 submission
2. a peer review of another students draft text of the Phase 1 submission
3. a Process memo (reflection on the feedback received).

The Phase 1 submission is an individual written text of between 5,000 and 10,000 words that amounts to the two first chapters of the thesis: the Introduction and Literature Review. The text should clearly formulate the problem statement and research questions, and include a plan of the research to be conducted in Phase 2 and 3 of the masters thesis.

It is understood that the contents of the Phase 1 submission does not necessarily constitute the final versions of the text in the master's thesis.

The exam grade 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 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 aids are permitted, provided the rules for plagiarism and source referencing are complied with.

Professor Lothar Fritsch

An interest for networking, computer and software architecture.

The course has 8 ECTS of overlapping content toward ADSE1310.