Artificial Intelligence - Principles and Techniques, 6 credits (TNM096)

Main field of study

Media Technology and Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

• Media Technology and Engineering, M Sc in Engineering
• Computer Science, Master's programme

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Programming in imperative programming language (like Java or C++). Knowledge of data structures and algorithms.

Intended learning outcomes

The aim of the course is to introduce the main concepts of artificial intelligence (AI) including techniques for problem solving, knowledge representation and reasoning, and learning. After the course the student will be able to

• explain and discuss artificial intelligence concepts
• apply well known artificial intelligence techniques.

Course content

Search as a problem-solving method. Knowledge representation and reasoning. Reasoning with incomplete information and probabilistic reasoning. Planning. Machine learning.

Teaching and working methods

The course consists of a series of lectures and laboratory work where different AI techniques are implemented using Java or C++.

Examination

LAB1

Laboratory work

U, 3, 4, 5

6 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Artificial Intelligence for Interactive Media

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Camilla Forsell

Examiner

Pierangelo Dell’Acqua

Education components

Preliminary scheduled hours: 34 h
Recommended self-study hours: 126 h

Course literature

Utdelat kursmaterial