ACIT4011 Graph Data Management Emneplan

Prosjekter i emnet

Prosjekt 1. Introduksjonsprosjekt. Idéutvikling (om lag to uker, gruppearbeid):

• Prosjektet er en introduksjon til motestudiet og fokuserer på hvordan idéer oppstår, kan bearbeides og visualiseres til et moteuttrykk. Presentasjon av ulike moteuttrykk står også sentralt i prosjektet.

Prosjekt 2. Drapering og sømteknikk (om lag ti uker, individuelt arbeid):

• Prosjektet gir opplæring i ulike teknikker knyttet til drapering og sømteknikk, samt generell bruk av materialer og metoder som anvendes i motefaglige prosesser.

Prosjekt 3. Eksamensprosjekt (om lag fire uker, individuelt arbeid):

• Se under for nærmere beskrivelse av eksamen.

Det vises for øvrig til undervisningsplanene som ytterligere spesifiserer innholdet i hvert enkelt prosjekt.

Databases and Programming

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

The student has:

• understanding of graph data and its characteristics
• familiarity with constructing and modelling knowledge graphs
• awareness of graph analytics techniques

Skills

The student can:

• use graph databases for efficient data storage and retrieval
• create, manipulate, and manage graph data
• design and implement graph-based data management processes
• employ graph analytics for complex data exploration

General competence

The student can:

• optimise data organisation through graph-based representations
• evaluate and select appropriate graph-based solutions for various tasks
• articulate the significance of graph data management in diverse domains.

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 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.

The final assessment consists of two parts:

1. A group project implementation (approx. 2-5 students per group), including a project report (3000 - 5000 words, excluding references) and code/data as an appendix (counts 70% towards the final grade). Both the code/data and the report will be evaluated.
2. A 15-minute group presentation of the project (counts 30% towards the final grade).

Both parts must be passed in order to pass the course. The oral exam cannot 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.

All aids are permitted.

Grade scale A - F.

Exam part 1 (group proposal): one internal examiner

Exam part 2 (oral exam): two internal examiners

External examiners are used periodically.

Prof. Dumitru Roman