ACIT5930 Master's Thesis, Phase 3 Emneplan

In today's data-driven world, the effective management of graph data has emerged as a vital skill across various domains, including business, technology, and sciences. Graphs provide a powerful way to represent and analyse interconnected data, and they play a crucial role in fields such as complex systems and network science, social sciences, biology and genetics, and more.

In the area of Artificial Intelligence and Data Science, graph databases enable the modelling of complex relationships between data points, enhancing machine learning algorithms and data analysis techniques. Application areas such as social media can benefit greatly from graph databases as they allow for efficient representation and querying of complex relationships between entities, such as the connections between users, their interactions, and shared content, making them an ideal choice for such applications.

This course focuses on Graph Data Management, covering the fundamentals of creating, organising, querying, and deriving insights from graph-structured data. With the exponential growth of interconnected data sources, the need for skilled professionals who can navigate graph data, construct knowledge graphs, leverage graph databases, perform graph analytics, and contribute to the emerging field of Graph Data Science has become increasingly evident. This course equips students with the foundational knowledge and skills required to work with graph data.

This course encompasses topics such as graph data concepts and representations, building and constructing knowledge graphs, exploring graph databases and their applications, graph querying, graph analytics.

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.

Lectures and supervised work on practical assignments, both lectures and labs presuppose attendance on campus. Case studies may be included as part of the teaching. The students work in groups. Group size is usually 3 to 5 students (Determined by the course coordinator).

In addition to lectures and reading, students are expected to learn necessary techniques through short online courses or courses offered by Makerspace. These may be required to complete the physical prototype for the home-exam.

The following coursework is compulsory and must be approved before the student can sit the exam:

• Three compulsory group assignments (workload assumes 3-5 students). They make up three deliveries that build on each other and that must be approved in order to pass the course.

Home exam. A final report which document the process and the production of a prototype. Builds upon the obligatory assignments in the course.

The exam result can be appealed.

In the event of resit and rescheduled exams, another exam form may be used or a new assignment given with a new deadline. If oral exams are used, the result cannot be appealed.

All.

Grade scale A-F.

One or several internal examiners. External examiners are used regularly.

Emnet er ekvivalent (overlapper 10 studiepoeng) med: LO152D.

Ved praktisering av 3-gangers regelen for oppmelding til eksamen teller forsøk brukt i ekvivalente emner.