Artificial Intelligence for Interactive Media, 6 credits

Artificiell intelligens för interaktiv media, 6 hp

TNM095

The course is disused. Offered for the last time Autumn semester 2022. Replaced by TNM114.

Main field of study

Information Technology Computer Science and Engineering Media Technology and Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Pierangelo Dell'Acqua

Director of studies or equivalent

Camilla Forsell

Education components

Preliminary scheduled hours: 12 h
Recommended self-study hours: 148 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course 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 Engineering

Course level

Second cycle

Advancement level

A1X

Course 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 Intelligence

Intended 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:

  • Declarative techniques in scene modeling
  • Computational creativity
  • Intelligent methods of exploring virtual worlds
  • Artificial Life for Virtual Worlds
  • Behavioral animation
  • Virtual human
  • Computer graphics and learning
  • Intelligent visualization
  • Interactive storytelling

    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

    PRA1Project work6 creditsU, 3, 4, 5

    Grades

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

    Department

    Institutionen för teknik och naturvetenskap

    Director of Studies or equivalent

    Camilla Forsell

    Examiner

    Pierangelo Dell'Acqua

    Course website and other links

    Education components

    Preliminary scheduled hours: 12 h
    Recommended 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 = Introduce, U = Teach, A = Utilize
    I U A Modules Comment
    1. DISCIPLINARY KNOWLEDGE AND REASONING
    1.1 Knowledge of underlying mathematics and science (G1X level)
    X
    
                                
    1.2 Fundamental engineering knowledge (G1X level)
    X
    PRA1
    
                                
    1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
    X
    PRA1
    
                                
    1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
    
                                
    1.5 Insight into current research and development work
    
                                
    2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
    2.1 Analytical reasoning and problem solving
    X
    
                                
    2.2 Experimentation, investigation, and knowledge discovery
    X
    X
    
                                
    2.3 System thinking
    
                                
    2.4 Attitudes, thought, and learning
    
                                
    2.5 Ethics, equity, and other responsibilities
    
                                
    3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
    3.1 Teamwork
    X
    
                                
    3.2 Communications
    X
    PRA1
    
                                
    3.3 Communication in foreign languages
    
                                
    4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
    4.1 External, societal, and environmental context
    
                                
    4.2 Enterprise and business context
    
                                
    4.3 Conceiving, system engineering and management
    
                                
    4.4 Designing
    
                                
    4.5 Implementing
    
                                
    4.6 Operating
    
                                
    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
    
                                
    5.2 Economic conditions for knowledge development
    
                                
    5.3 Identification of needs, structuring and planning of research or development projects
    X
    PRA1
    
                                
    5.4 Execution of research or development projects
    X
    PRA1
    
                                
    5.5 Presentation and evaluation of research or development projects
    X
    PRA1
    
                                

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