PSYKPRA2 Praksisstudium knyttet til Bacheloroppgave Emneplan

Når studentene har gjennomført og bestått de obligatoriske emnene, kan de velge et relevant fordypningsområde blant ulike emner som høgskolen tilbyr. Alternativt kan studentene selv foreslå aktuelt fordypningsområde for PSYKPRA2. Læringsutbyttet for PSYKPRA2 er også knyttet til bacheloroppgaven (PSYK3900).

Emnet vektlegger forståelse av økonomi gjennom teori og praktiske øvinger. Det legges også vekt på ulike aspekter ved rollen som matematikklærer, samt fokus på yrkesretting og relevans i arbeidet med temaene i emnet.

This course will present complex systems (cellular automata, networks, and agent-based) modelling and programming through state-of-the-art artificial intelligence methods that take inspiration from biology (sub-symbolic and bio-inspired AI methods), such as evolutionary algorithms, neuro-evolution, artificial development, swarm intelligence, evolutionary and swarm robotics.

During this course, students will get both theoretical and practical experience within complex systems and bio-inspired/sub-symbolic AI methods.

No formal requirements over and above the admission requirements.

On successful completion of the course, students should have the following learning outcomes defined in terms of knowledge, skills, and general competence.

Knowledge

The student:

• has a deep understanding of complex systems modelling and analysis
• has advanced knowledge in sub-symbolic and bio-inspired AI methods
• has a clear understanding of key concepts in AI such as emergence, adaptation, evolution.

Skills

The student:

• can model and analyse complex systems using cellular automata, networks and agent- based models
• can program complex systems using bio-inspired AI methods
• can design and implement evolutionary and swarm robotic systems

General Competence

The student:

• has theoretical and practical understanding of complex and biologically-inspired AI methods and evolutionary robotics methods
• can understand and discuss relevance, strength and limitations of complex and biologically inspired systems
• is able to work in relevant research projects.

Individuell muntlig eksamen, varighet: 25-30 min.

Ny og utsatt eksamen

Ny og utsatt eksamen gjennomføres på samme måte som ved ordinær eksamen, det gis ny oppgavetekst.

Studentens rettigheter og plikter ved ny/utsatt eksamen framgår av forskrift om studier og eksamen ved OsloMet - storbyuniversitetet. Studenter er selv ansvarlige for å melde seg opp til eventuell ny/utsatt eksamen på Studentweb.

Ingen.

The assessment will be based on a portfolio of the following:

• A group project delivery (2-4 students), consisting of a report (7500-3000 words) and code
• An individual oral examination

The weight of the two parts is 50 % each.

The project report should be between 7500-3000 words. Both the code/program and the report will be evaluated. The comprehensiveness of the code/program is evaluated with the assumption that each student in the group has committed about 60 hours towards developing the solution. As a general guideline, the code/program carries a stronger weight than the report.

The portfolio will be assessed as a whole and the exam cannot be appealed.

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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.