German
I924 – Virtual Intelligent Environments
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Module
Virtual Intelligent Environments
Virtual Intelligent Environments |
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Module number
I924
Version: 2 |
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Faculty
Informatics/Mathematics
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Level
Bachelor/Diploma
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Duration
1 Semester
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Semester
Summer semester
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Module supervisor
Prof. Dr.-Ing. habil. Wolfgang Oertel |
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Lecturer(s)
Prof. Dr.-Ing. habil. Wolfgang Oertel |
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Course language(s)
English |
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ECTS credits
5.00 credits |
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Workload
150 hours |
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Courses
4.00 SCH (2.00 SCH Lecture | 2.00 SCH Internship) |
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Self-study time
90.00 hours |
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Pre-examination(s)
None
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Examination(s)
Alternative examination - Documentary work |
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Form of teaching
2/0/2 V/Ü/P |
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Media type
digital |
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Instruction content/structure
Students get to know a practical technology for the development of virtual intelligent environments combining methods from the computer science fields computer graphics (CG), virtual reality (VR), artificial intelligence (AI), and web technology (WT) and applying them to model several fields of human environment and environmental engineering. The main topics of the course are: - modelling of spatial worlds, - animation of temporal processes, - reproduction of regularities and relationships, - involvement of multimedia contents, - controlling of user interactions, - definition of intelligent behaviours, - creation of knowledge bases, - activation of inference processes, - generation of local and distributed presentations, - treatment of environmental applications. The software basis for the course consists of standardised specification and programming languages for CG, VR, AI, and WT. Theoretical lectures provide students with the basic conceptual knowledge of the technology. The practical trainings conduce to the development of related skills in the computer labs. |
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Qualification objectives
At the end of the course, students master the covered computer-based technologies and tools. They are able to transfer real or artificial scenarios of different application areas into simple virtual intelligent environments and to utilize them for visualisation and presentation, partly also for analysis and simulation purposes. |
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Social and personal skills
No information
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Special admission requirements
No information
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Recommended prerequisites
Basiscs in informatics |
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Continuation options
No information
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Literature
Literature for virtual intelligent environments |
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Current teaching resources
Presentation slides and pratical tasks Software systems and documentations Specification and programming languages |
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Notes
No information
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Link to course/learning resources in OPAL
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