Artificial Intelligence - Principles and Techniques, 6 credits (TNM096)
Artificiell intelligens - principer och tekniker, 6 hp
Main field of study
Media Technology and EngineeringLevel
First cycleCourse type
Programme courseExaminer
Pierangelo Dell’AcquaDirector of studies or equivalent
Camilla ForsellAvailable for exchange students
YesCourse offered for | Semester | Period | Timetable module | Language | Campus | VOF | |
---|---|---|---|---|---|---|---|
6CMEN | Media Technology and Engineering, M Sc in Engineering | 8 (Spring 2017) | 2 | 1 | English | Norrköping | v |
6MDAV | Computer Science, Master's programme | 2 (Spring 2017) | 2 | 1 | English | Norrköping | v |
6MICS | Computer Science, Master's programme | 2 (Spring 2017) | 2 | 1 | English | Norrköping | v |
Main field of study
Media Technology and EngineeringCourse level
First cycleAdvancement level
G2XCourse 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, 5Other information
Supplementary courses: Artificial Intelligence for Interactive Media |
Department
Institutionen för teknik och naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Pierangelo Dell’AcquaEducation components
Preliminary scheduled hours: 34 hRecommended self-study hours: 126 h
Course literature
Utdelat kursmaterialLAB1 | Laboratory work | U, 3, 4, 5 | 6 credits |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
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