Research Topics in Artificial Intelligence

Masteremne

Emnebeskrivelse

Mål og innhald

The students should obtain advanced theoretical knowledge and technical skills on the topics covered in the course. The course will enable students to carry out advanced research projects on topics within artificial intelligence and apply the knowledge to complex intelligent system design and development.

The course covers advanced theoretical and technical issues in artificial intelligence. It will focus on some selected topics and applications, such as artificial life, agent and multi-agent systems, machine learning, neural networks, genetic algorithms and programming, data mining, natural language processing, case-based reasoning, cognitive science, and neuro-computing. Each seminar is about one major topic and will be organized by experienced researchers within the field.

Læringsutbyte

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

  • The student understands advanced theoretical and technical issues in artificial intelligence.

Skills

The student

  • can apply knowledge for complex intelligent system design and development.
  • can carry out advanced research on artificial intelligence.

Studienivå (studiesyklus)

Master level

Undervisningssemester

Irregular
Tilrådde forkunnskapar
Solid background in Informatics/Information Science/Computer Science
Krav til studierett
Master's programme in Information Science. Other students may apply for admission.
Arbeids- og undervisningsformer
Seminars.
Obligatorisk undervisningsaktivitet

Mandatory participation: Attendance at 80 % of course sessions is mandatory.

Compulsory requirements are only valid the semester they are approved.

Vurderingsformer
  • Oral individual exam (40%)
  • Group based assignment(s) (60%)
  • The exam assignment will be given in the language of instruction in the course.

    The exam answer must be submitted in the same language as the exam assignment.

    Karakterskala
    The grading system has a descending scale from A to E for passes and F for fail.
    Vurderingssemester

    Assessment in teaching semester

    Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to eksamen.infomedia@uib.no. The application must be submitted before the deadline for submission has expired.

    Emneevaluering
    Alle emne blir evaluert i tråd med UiBs kvalitetssystem for utdanning.