Artificial Intelligence for Interactive Media, 6 credits
Artificiell intelligens för interaktiv media, 6 hp
TNM095
Main field of study
Information Technology Computer Science and Engineering Media Technology and EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Pierangelo Dell'AcquaDirector of studies or equivalent
Camilla ForsellEducation components
Preliminary scheduled hours: 12 hRecommended self-study hours: 148 h
Available for exchange students
YesCourse offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
---|---|---|---|---|---|---|---|
6CDDD | Computer Science and Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping, Norrköping | E |
6CMJU | Computer Science and Software Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping, Norrköping | E |
6MDAV | Computer Science, Master's programme | 3 (Autumn 2017) | 1 | 2 | English | Norrköping, Norrköping | E |
6MICS | Computer Science, Master's programme | 3 (Autumn 2017) | 1 | 2 | English | Norrköping, Norrköping | E |
6CITE | Information Technology, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping, Norrköping | E |
6CMEN | Media Technology and Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1 | 2 | English | Norrköping, Norrköping | E |
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 | 6 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för teknik och naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Pierangelo Dell'AcquaCourse website and other links
Education components
Preliminary scheduled hours: 12 hRecommended self-study hours: 148 h
Course literature
Additional literature
Other
Code | Name | Scope | Grading scale |
---|---|---|---|
PRA1 | Project work | 6 credits | U, 3, 4, 5 |
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.
Additional literature
Other
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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1.2 Fundamental engineering knowledge (G1X level) |
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X
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PRA1
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1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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PRA1
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1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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1.5 Insight into current research and development work |
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2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
2.1 Analytical reasoning and problem solving |
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X
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2.2 Experimentation, investigation, and knowledge discovery |
X
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X
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2.3 System thinking |
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2.4 Attitudes, thought, and learning |
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2.5 Ethics, equity, and other responsibilities |
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
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X
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3.2 Communications |
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X
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PRA1
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3.3 Communication in foreign languages |
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4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
4.1 External, societal, and environmental context |
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4.2 Enterprise and business context |
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4.3 Conceiving, system engineering and management |
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4.4 Designing |
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4.5 Implementing |
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4.6 Operating |
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5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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5.2 Economic conditions for knowledge development |
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5.3 Identification of needs, structuring and planning of research or development projects |
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X
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PRA1
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5.4 Execution of research or development projects |
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X
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PRA1
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5.5 Presentation and evaluation of research or development projects |
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X
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PRA1
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