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Augmented & Virtual Reality (5 cr)

Code: LTD7017-3002

General information


Enrollment

01.04.2023 - 15.04.2023

Timing

04.09.2023 - 05.11.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages

  • Finnish

Seats

10 - 50

Degree programmes

  • Degree Programme in Business Information Technology

Teachers

  • Anssi Gröhn

Teacher in charge

Anssi Gröhn

Groups

  • LTDNS20
    Information Technology (BBA), Full-time Studies, Fall, 2020

Objective

Objective is to take command of different XR technologies from game development perspective, and understand their implications to development practices.

Content

Virtual Reality (VR)
Augmented and Mixed Reality (AR / MR)
Utilizing 360 images and videos
Placement of visual elements in VR
Different interaction methods

Teaching methods

Learning objectives:

You understand what extended reality stands for
You understand what virtual reality stands for
You understand what augmented reality stands for
You understand what mixed reality stands for
You understand differences between different 360 cameras
You know limitations and possibilities of 360 different cameras
You understand how 360 image is formed using cameras
You understand how different 360 image projection models work
You are able to edit 360 video
You are able to create an equirectangular projection in 3D modeling software for 360 videos
You are able to attach graphical elements into 360 videos
You are able to utilize 360 videos as background for VR environment
You understand what diegetic theory is
You understand how usability needs to be taken into account in interactive VR environment
You understand how user interface building differs in virtual reality
You are able to technically implement different interaction methods to VR environment
You are able to utilize diegetic user interfaces when creating interaction within virtual reality
You are able to create interaction method that utilizes watching an object within virtual reality
You are able to create user interfaces into VR application
You are able to create navigation solutions into VR application
You are able to select proper images for AR markers
You know how AR application identifies marker images
You understand how 3D model is projected over desired marker images
You are able to verify image applicability as a marker
You are able to construct an AR application that identifies environment
You are able to place models into appropriate physical location within AR application
You are able to utilize location identification methods within XR applications
You are able to share virtual objects within same physical space between several devices using cloud service
You master utilization of spatial anchors in a XR application
You understand what virtual holograms are
You understand virtual hologram technology based on point clouds.
You understand how depth cameras work
You understand how depth information is stored
You understand how 3D point clold is projected according to depth data and camera intrinsics.

Competence presentation will be done using one project, or several. Involves potentially working in a group, during which an integral part of studying is also reviewing and evaluation the work of other groups.

Exam schedules

Course does not contain a final exam, and your grade will be determined using learning assignments. Course will have to re-examinations, that will be organized after final learning assignment submission date. Enrolling to re-examinations as instructed on course workspace.

Student workload

Kokonaisajankäyttö 133h

Evaluation scale

H-5

Assessment methods and criteria

Your grade will be passed according to points received from learning assignments or a project. Learning assignment or project scores are determined from your competence presentations, and they are evaluated in cumulative fashion based on Bloom's taxonomy, where lower competence levels must be fulfilled before achieving higher ones.

Competence presentation related to a singular learning assignment must be published to specified forum in Moodle workspace using either
a) video wher you use your voice OR
b) PDF document with clearly expressed text and supporting screenshots, formatted according to rules Karelia Bachelor's thesis template.

Final grade = scores from learning assignments / max possible score * 5.

Assessment criteria, fail (0)

Entry level is not fulfilled.

Assessment criteria, satisfactory (1-2)

Entry level (1)

Demonstrate, that you know and understand how things mentioned in learning goals work.

Assessment criteria, good (3-4)

Advanced level (3)

Demonstrate, that you are able to apply things mentioned in learning goals in one or several different cases in respect to material published on course.

Assessment criteria, excellent (5)

Professional level (5)

Demonstrate, that you are able to create one or several completely new solutions using things mentioned in learning goals or apply them into one or several completely different situations in respect to materials published in course workspace.

Demonstrate, that you are able to evaluate and give reasoning why your method or solution is applied to a new situation is applicable and worth doing.

Qualifications

Preqrequisities advanced game programming, C++ programming or equivalent skills.

Further information

In order to participate in this course, you are required to have Google Cardboard and ARCore compatible mobile device available.