ADTS1600 Interaction Design and Prototyping Course description

No formal requirements over and above the admission requirements.

A student who has completed this course should have the following learning outcomes, defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student:

• has specialized knowledge on the specific areas of their Master thesis
• has a deep understanding of scientific writing as a process of both constructing and communicating meaning.
• is familiar with the structures and conventions of methods and results chapters.

Skills

On successful completion of this course the student:

• can clearly define and limit problem areas
• can connect his/her own project to relevant research literature
• can plan and carry out limited research or development projects
• can identify types and scopes of results which are required to ensure the claims and conclusions are scientifically valid
• can reflect on the decisions made and their consequences for the project
• can effectively draft, revise and develop the written communication of their research

General competence

On successful completion of this course the student:

• can apply knowledge and skills in new areas and carry out advanced projects
• can analyse and deal critically with developed products or collected data
• can carry out comprehensive independent study
• can contribute to the innovation of their field
• can apply effective writing strategies to diverse academic writing situations, including the writing of academic research articles.

Successful completion of Phase 1 and Phase 2 forms the basis for Phase 3. The work is carried out under the guidance of the supervisor appointed at the start of Phase 1.

In addition to the project work, there will be a series of online, asynchronous classes during which students will be provided with a range of analytical tools and methods to help develop their writing skills. Students will also receive formative feedback on draft versions of their texts from the course instructor and their peers, with a focus on the final master's thesis and draft research article.

This is a project-based course, divided into two parts, with focus on basics of graph data management at the beginning and student project work towards the end. The forms of teaching will include lectures, group discussions, and project work.

The final assessment will be based on the following four deliveries:

• A written Master thesis (Length: 20,000-30,000 words, using one of the available document templates).
• A draft research paper (Length: 3,000-6,000 words)
• Individual oral presentation (30 minutes).
• Submission of an artefact (either physical or digital) as part of the thesis is optional. Any artefact that has been developed by the student as part of the research project must be approved by the supervisor, the Master Thesis Coordinator must be informed, and the artefact must be made available in such a way to be inspected by the examiners. In the case of a physical artefact, video and images may be used to document its properties, eliminating the need for a physical inspection.

The master's thesis is assessed on the basis of the following criteria:

• The originality and/or relevance of the issues or research questions to the field of study.
• Clarity in the development of issues or research questions being addressed.
• Documentation and use of relevant theory and research, as well as systematic use of sources.
• Clarity in the relationship between issues/research questions being addressed, the method choices/methodologies employed and the resulting discussions/conclusions.
• Ability to collect, systematize, interpret/deconstruct and present knowledge in a clear way.
• Reflection on ethical issues in the research process.
• Written presentation (clear table of contents, accurate literature references, bibliography and appendices).

Theses are written in Norwegian or English. The oral exam can be taken in Norwegian or English, regardless of which language the thesis was written in.

The written thesis must be awarded a grade of A-E (preliminary grade) in order for a student to take the oral exam. The final grade is set after the oral exam. The grade can be adjusted up or down by one grade based on the oral exam. All exams must be passed in order to pass the course.

Students can appeal against the grade set for the written part of the exam. If the grade is changed after an appeal against the grade, and the oral exam has already been held, the oral exam must be retaken.

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.

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

Students will collaborate in groups (approx. 2-5 students per group) to plan, execute, and report on one graph data project. The deliverable consists of two parts:

1. a group project proposal (700 - 1000 words) on the assigned topic, containing project description, the available dataset(s), method/algorithm to be employed, and relevant references.
2. a group oral presentation on the project proposal of the assigned topic.

Grade scale A-F.

All aids are permitted.

Grade scale A - F.

The academic writing workshops will cover topics such as

• Article genre conventions and structures, including IMRAD
• Understanding of the main elements of the writing process and management of writing projects
• Audience, purpose and context (rhetorical situation)
• Variations in academic style
• Disciplinary identity
• Patterns of paragraph development
• Coherence and cohesion
• Directness and formality
• Audience analysis
• Analysing, discussing and responding to academic texts