MESTD4313 Research Theory and Method 2 Course description

None.

The course MEST4312 or similar competence

Group project (2-4 students) (15 000 - 17 500 words)

The exam 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.

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:

• is capable of applying knowledge of relevant philosophy of science perspectives in a delimited aesthetic field
• is capable of analysing and assessing the theoretical and practical elements of the testing and research process
• is capable of using and taking a critical approach to the use of sources and ethical assessments throughout the; research processes

Skills

The student;

• is capable of using philosophy of science and methodology of relevance to a delimited aesthetic field in an independent manner
• is capable of critically assessing research methodology choices in relation to different research questions
• is capable of research methodology argumentation relating to a delimited aesthetic field
• is capable of assessing and using different sources and research ethical standards in the research process
• is capable of independent practical and theoretical work in the testing and research process

Competence

The student

• is capable of working independently in his/her own field and masters the field's forms of expression
• is capable of communicating with various target groups about professional issues and angles of discussion in the aesthetic fields
• is capable of using knowledge and skills in the aesthetic fields to contribute to new ideas and innovation processes

Teaching methods vary between lectures given by both lecturers and guest lecturers. Students must actively participate in teaching and group work. The master’s programme is based on individual study with participation in groups, lectures and thematic workshops. Emphasis is placed on both theoretical and practical work as forms of study. Teaching will be in both Norwegian and English.;

Two internal examiners. External examiner is used periodically.

Professor Anis Yazidi

It is an advantage to have some experience with the following subjects:

• Mathematical Analysis
• Basic programming, such as scripting
• Statistics, specifically probability theory

• Data streaming systems
• Data mining systems and BigData platforms
• Data stream processing methods, such as, but not limited to, anomaly detection, clustering, association rule learning
• Data visualization
• Statistical analysis on large data sets
• Linear algebra applied on BigData
• Using programming to implement analysis and toolchaining

Two internal examiners. External examiners are used regularly.

Emnet overlapper 10 studiepoeng mot MEST4311.