Course content

Tentative Academic Content:

• Problem description, developing research questions, and corresponding choice of methods.
• Identifying, collecting and structuring published research results relevant for the project.
• Project planning and risk assessment.
• Scientific presentation of project objective, structure, and content

Learning outcome

Tentative learning outcomes

Knowledge:

- Possess specialized insight and good understanding of the research frontier in a selected part of the topic covered by the Master Programme.

- Is able to apply the knowledge and understanding from the topics covered by the Master Programme to new and unfamiliar settings.

Skills:

- Is able to handle theoretical issues, and solve complex practical problems, independently in the area covered by the Master Programme.

- Is able to use relevant and suitable methods when carrying out research and development activities in the area covered by the Master Programme.

- Is able to critically review relevant literature when solving new or complex problems and is able to integrate the findings into the proposed solution.

- Is able to plan and complete an independent and limited research or development project with guidance and in adherence to research ethics.

- Is able to demonstrate critical thinking especially in problem statement and planning.

- May be encouraged to evaluate and provide feedback on fellow students' work.

General competence:

- An understanding of academic writing style and documentation structure.

- The ability to formulate a research problem and research questions.

- An understanding of ethical issues in research.

Learning methods and activities

Tentative Learning Styles:

- Lectures / seminars (Gjøvik campus).

- Assignments and exercises in preparation for the final report.

- Supervision.

The seminars are held in Autumn semester only. Spring semester admission for self-study only.

Specific conditions

Recommended previous knowledge

Admission to the Master Program in Applied Computer Science (MACS/MACS-D) is required.

Required previous knowledge

IMT4110 Scientific Methodology and Communication or IMT4192 Research and Scientific Methods in HCI or IMT4421 Scientific Methodology.

Course materials

Where relevant, material will be provided as part of the seminars.

Credit reductions