BLMT0000 Mathematics Course description

Hensikten med emnet er at studenten skal kunne tilegne seg nødvendige kunnskaper i matematikk for å møte kunnskapsområdet i utdanningen og å tilegne seg nødvendige skriftlige og muntlige ferdigheter.

Admission to the programme.

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

Knowledge

The student:

• Knows how the field of artificial intelligence developed historically
• Is familiar with the main artificial intelligence theories and has a practical understanding of the development and use of artificial intelligence
• Can reflect on the practical, social and ethical implications of the development of artificial intelligence
• Has an understanding of the current application areas of artificial intelligence

Skills

The student:

• Has the theoretical and practical skills to build simple artificial intelligence systems
• Can use a variety of state-of-the-art artificial intelligence techniques in different application domains
• Can evaluate the technical quality and practical value of various types of artificial intelligence

Competence

The student:

• Has both theoretical and practical understanding of artificial intelligence methods
• Can discuss the relevance, strengths and limitations of artificial intelligence methods
• Is able to solve real-life problems using artificial intelligence methods

3 compulsory assignments done in groups of 2-4 students must be approved in order to be admitted to the final exam.

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.

Grade scale A-F

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