School of Humanities

The basics of artificial intelligence

This course is part of the programme:
Master in SL studies - Linguistics

Objectives and competences

Overview of the field of artificial intelligence, its aims, scope, methods, main questions, main developments, and possible directions for individual research.

Competences:

Ability to recognize interesting research topics in the field of artificial intelligence;

Students obtain skills for searching, reading and critical analysis of the scientific litereature in artificial intelligence.

Content (Syllabus outline)

Overview of AI

Logic and Planning

Machine Learning

Markov Decision Processes

Natural Language Processing

Data Mining

Intended learning outcomes

Knowledge of the basic topics in artificial intelligence.

Readings

Ertel, Wolfgang. 2011. Introduction to Artificial Intelligence. Springer.

Assessment

Active participation at lectures, 1 or 2 homework assignments, Final exam

Lecturer's references

Associate professor of Linguistics at the University of Nova Gorica.

University course code: 2SL2049

Year of study: 1

Course principal:

Lecturer:

ECTS: 3

Workload:

  • Lectures: 30 hours
  • Individual work: 60 hours

Course type: elective

Languages: english

Learning and teaching methods:
lectures homework assignments