Artificial Intelligence for Interactive Media, 6 credits (TNM095)
Artificiell intelligens för interaktiv media, 6 hp
Main field of study
Information Technology Computer Science and Engineering Media Technology and EngineeringLevel
Second 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 | |
---|---|---|---|---|---|---|---|
6CDDD | Computer Science and Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping | v |
6CMEN | Media Technology and Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping | v |
6CITE | Information Technology, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping | v |
6CMJU | Computer Science and Software Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping | v |
6MDAV | Computer Science, Master's programme | 3 (Autumn 2017) | 1 | 2 | English | Norrköping | v |
6MICS | Computer Science, Master's programme | 3 (Autumn 2017) | 1 | 2 | English | Norrköping | v |
Main field of study
Information Technology, Computer Science and Engineering, Media Technology and EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Media Technology and Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
- Computer Science and Software 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
3D Computer Graphics, Artificial IntelligenceIntended learning outcomes
This course focuses on describing artificial intelligence techniques that can be employed for computer graphics. After the course the student will be able to explain and discuss artificial intelligence concepts for computer graphics and apply well known artificial intelligence techniques.
Course content
Course content includes:
Teaching and working methods
The course consists of a series of lectures devoted to theory and project work where different AI techniques are practiced using C++ or Java.
Examination
PRA1 | Project work | U, 3, 4, 5 | 6 credits |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för teknik och naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Pierangelo Dell'AcquaEducation components
Preliminary scheduled hours: 12 hRecommended self-study hours: 148 h
Course literature
Additional literature
Other
Additional literature
Other
PRA1 | Project 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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