EPN-V2

DAVE3625 Introduksjon til Kunstig Intelligens Emneplan

Engelsk emnenavn
Introduction to Artificial Intelligence
Studieprogram
Bachelorstudium i anvendt datateknologi
Bachelorstudium i ingeniørfag - data
Bachelorstudium i ingeniørfag - elektro
Bachelorstudium i ingeniørfag – matematisk modellering og datavitenskap
Bachelorstudium i informasjonsteknologi
Omfang
10.0 stp.
Studieår
2019/2020
Programplan
Emnehistorikk

Innledning

No course requirements.

Anbefalte forkunnskaper

Basic programming skills (C, Python, Java, or similar programming language)

Discrete mathematics course at undergraduate level

Forkunnskapskrav

Individual written 4-hour exam will be held at the end of the semester.

Læringsutbytte

Letter grading A-F.

Arbeids- og undervisningsformer

In addition to the instructor, an external examiner will grade the exam.

A selection of at least 25% of the exam papers will be assessed by two examiners. The grades awarded to exam papers assessed by the external and internal examiner will be used to determine the level of all exam papers.

Arbeidskrav og obligatoriske aktiviteter

Ivar Bredesen

Vurdering og eksamen

  1. 30% of the grade based on the academic report (in groups of 2-4 students, 5-10 pages written report with link to code e.g. on github).
  2. 70% of the grade based on individual written examination (3 hours).

Both exams must be passed in order to pass the course.

The exam result can be appealed.

Hjelpemidler ved eksamen

No support materials are allowed for the written exam.

Vurderingsuttrykk

A grading scale of A (highest) to F (lowest) where A to E is a pass grade and F is a fail grade.

Sensorordning

Two examiners. External examiner is used periodically.