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 Engineering

Level

Second cycle

Course type

Programme course

Examiner

Pierangelo Dell'Acqua

Director of studies or equivalent

Camilla Forsell

Available for exchange students

Yes
Course 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 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 workU, 3, 4, 56 credits

    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

    Additional literature

    Other

    Download

    PRA1 Project work U, 3, 4, 5 6 credits

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