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151-0317-00L 4 Credits BSC , DR , MSC D-MATL , D-MAVT , D-INFK , D-MATH , D-ITET

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Visualization, Simulation and Interaction - Virtual Reality II

Lecturers & Examiners: Prof. Dr. Andreas Kunz

VVZ CR 4.2

Last Updated: 2026-02-05 16:02:03

Abstract

This lecture provides deeper knowledge on the possible applications of virtual reality, its basic technolgy, and future research fields. The goal is to provide a strong knowledge on Virtual Reality for a possible future use in business processes.

Objective

Virtual Reality can not only be used for the visualization of 3D objects, but also offers a wide application field for small and medium enterprises (SME). This could be for instance an enabling technolgy for net-based collaboration, the transmission of images and other data, the interaction of the human user with the digital environment, or the use of augmented reality systems. The goal of the lecture is to provide a deeper knowledge of today's VR environments that are used in business processes. The technical background, the algorithms, and the applied methods are explained more in detail. Finally, future tasks of VR will be discussed and an outlook on ongoing international research is given.

Content

Introduction into Virtual Reality; basisc of augmented reality; interaction with digital data, tangible user interfaces (TUI); basics of simulation; compression procedures of image-, audio-, and video signals; new materials for force feedback devices; intorduction into data security; cryptography; definition of free-form surfaces; digital factory; new research fields of virtual reality

Resources

Lecture Notes

The handout is available in German and English.

General Information

Language: English
Levels: BSC , DR , MSC
Frequency: Yearly recurring

Examination

Type: session examination
Mode: oral 30 minutes

Course Components

Type	Title	Time & Place	Hours
lecture with exercise	Visualization, Simulation and Interaction - Virtual Reality II Additional lecture hour in consultation with the students.	Mon 12:15-15:00 (ETZ E 8)	3 h weekly

Offered In

Computational Science and Engineering Bachelor
- Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed.)
Computer Science Bachelor
- Electives (Students may also choose courses from the Master's program in Computer Science. It is their responsibility to make sure that they meet the requirements and conditions for these courses.)
Mechanical Engineering Master
- Core Courses
  - Mechanics, Materials, Structures (The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor.)
  - Bioengineering (The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor.)
Computational Science and Engineering Master
- Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed.)
Electrical Engineering and Information Technology Master
- Master Studies (Programme Regulations 2008)
  - Major Courses (A total of 42 CP must be achieved during the Master Programme. The individual study plan is subject to the tutor's approval.)
    - Subjects of General Interest (These courses are suitable for several special fields. Please consult your tutor.)
Doctorate Materials Science (Further information at: )
- Subject Specialisation
  - Advanced Manufacturing (MaP Doctoral School)