Foundations of Spatial Computing and Applications in Augmented and Virtual Reality
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Teaching
Details
Faculty Faculty of Management, Economics and Social Sciences Domain Business Informatics Code UE-EIG.00294 Languages English Type of lesson Lecture
Level Master Semester SS-2026 Schedules and rooms
Summary schedule Monday 15:15 - 18:00, Hebdomadaire, PER 17, Room 001 (Spring semester)
Teaching
Responsibles - Fill Hans-Georg
Teachers - Muñoz Cadiz Jesus
- Vasic Iva
Description Spatial computing, 3D geometry basics, Augmented Reality (AR), and Virtual Reality (VR). This course aims to familiarize students with the fundamentals of spatial computing in order to acquire the knowledge needed to develop simple yet interactive web-based applications in desktop, AR, and VR environments.
The course is structured as follows:
- Theoretical part that introduces the fundamentals of 3D geometry and the computational frameworks underlying spatial computing, including WebGL and Three.js, and related web-based technologies and equipment for interactive 3D visualization.
- Practical part where the students will learn how to apply spatial computing principles to design and develop interactive 3D applications, focusing on geometric transformations, scene composition, and real-time rendering in web-based desktop, AR, and VR environments.
- Project part that allows students to apply their creativity by developing an interactive web-based application, such as a game, serious game, visualization tool, or immersive AR/VR experience, demonstrating the integration of geometry, interaction, and spatial computing concepts.
The theoretical part will introduce the core computer graphics principles underlying the representation, transformation, and visualization of 3D geometry. It will cover the graphics pipeline, including geometric primitives, coordinate systems, and transformation matrices, and conclude with an overview of rendering and interaction concepts in desktop, AR, and VR environments.
The practical part and project development will be based on the open-source Three.js (https://threejs.org/), a JavaScript 3D library, which is widely used for web-based 3D graphics. Students will learn the core components of Three.js, including how to create and manage scenes, cameras, lights, materials, meshes, and renderers.
As for the project development, students will be required to choose a topic, marking the beginning of their specialization phase, during which they will focus on applying the acquired knowledge to a specific area of spatial computing. It will be organized in pairs of two, allowing students to choose their project partners and topics of interest freely.
At least basic knowledge of JavaScript is necessary for this course.
A laptop is needed for the practical exercises and the project part.
Training objectives - Gain knowledge about spatial computing methods and their implementation
- Develop the skills to create interactive and 3D content in web-based virtual environments, including desktop, AR, and VR
- Become familiar with the Three.js library principles and core concepts
- Understand the principles underlying the geometry and its virtual representation in 3D environments
Available seats 30 Softskills No Off field No BeNeFri Yes Mobility Yes UniPop No Documents
Bibliography Goldman, R. (2009). An Integrated Introduction to Computer Graphics and Geometric Modeling, CRC Press, Taylor and Francis.
Lengyel, E. (2011). Mathematics for 3D game programming and computer graphics (Third edition), Course Technology Press.
Pangilinan, E., Lukas, S., Mohan, V. (2019). Creating Augmented and Virtual Realities: Theory and Practice for Next-Generation Spatial Computing, O'Reilly Media, Inc.
Baruah, R. (2020). AR and VR Using the WebXR API: Learn to Create Immersive Content with WebGL, Three.js, and A-Frame, Apress.
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Dates and rooms
Date Hour Type of lesson Place 16.02.2026 15:15 - 18:00 Cours PER 17, Room 001 23.02.2026 15:15 - 18:00 Cours PER 17, Room 001 02.03.2026 15:15 - 18:00 Cours PER 17, Room 001 09.03.2026 15:15 - 18:00 Cours PER 17, Room 001 16.03.2026 15:15 - 18:00 Cours PER 17, Room 001 23.03.2026 15:15 - 18:00 Cours PER 17, Room 001 30.03.2026 15:15 - 18:00 Cours PER 17, Room 001 13.04.2026 15:15 - 18:00 Cours PER 17, Room 001 20.04.2026 15:15 - 18:00 Cours PER 17, Room 001 27.04.2026 15:15 - 18:00 Cours PER 17, Room 001 04.05.2026 15:15 - 18:00 Cours PER 17, Room 001 11.05.2026 15:15 - 18:00 Cours PER 17, Room 001 18.05.2026 15:15 - 18:00 Cours PER 17, Room 001 -
Assessments methods
Continuous evaluation - SS-2026, Session d'été 2026
Assessments methods By rating Descriptions of Exams The project presentation and the final project implementation will be evaluated for each group.
In addition, an initial exam (pass/fail) focused on Three.js knowledge is foreseen three weeks after the start of the course, serving as a prerequisite for proceeding to the group project development phase. For this exam, a series of Three.js tasks will be assigned, which students are required to implement individually.
Course with continuous evaluation: after the registration period, you can no longer cancel your registration (see session calendar on the Faculty's website).
Written exam - SS-2026, Session de rattrapage 2026
Assessments methods By rating Descriptions of Exams Exam duration 90 minutes
Only as a retake exam
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Assignment
Valid for the following curricula: BeNeFri - Sciences économiques et sociales
Version: 2018-SP_V01 - SES BeNeFri
Course > Master course offering for BeNeFri Students
Complementary learnings in SES or mobility students
Version: ens_compl_ses
Master course offering for Mobility Students - As of FS-2025 > Courses in Business Informatics
Doc - Business Informatics
Version: 20210713
Elective courses > Wahlkurse UNIFR
Doc - Economics
Version: 2002-SA_V01
Cours a choix > Wahlkurse UNIFR
Doc - Economie quantitative
Version: 2002-SA_V01
Cours a choix > Wahlkurse UNIFR
Doc - Management
Version: 2002-SA_V01
Cours a choix > Wahlkurse UNIFR
Doc - Management in Nonprofit-Organisation
Version: 2002-SA_V01 -60 ECTS Théoriques
Elective courses > Wahlkurse UNIFR
Doc - Sciences sociales
Version: 2002-SA_V01
Cours a choix > Wahlkurse UNIFR
Doc - Sciences économiques et sociales
Version: 2002-SA_V01
Cours a choix > Wahlkurse UNIFR
Ma - Accounting and Finance - 120 ECTS
Version: 2024-SP_V03 - DD Caen - Dès SA-2025
UniFr courses > Elective courses - Max 18 ECTS > SES Master level courses > Master's level SES elective courses in Business informatics
Ma - Accounting and Finance - 90 ECTS
Version: 2021-SA_V03 - Dès SA-2025
Course - 72 ECTS > Elective courses from all Master's programmes at the university > SES Master level courses > Master's level SES elective courses in Business informatics
Ma - Business Communication : Business Informatics - 90 ECTS
Version: 2024-SA_V03
OPTION Information Management > Business Informatics Courses > Module Informatik > SecurityOPTION Information Management > Business Informatics Courses > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
Ma - Business Informatics - 90 ECTS
Version: 2020-SA_V01
Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for DigitalizationClasses - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > SecurityClasses - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > TMD: Technologies and Modelling for Digitalization
Ma - Communication and Society - 90 ECTS
Version: 2021-SA_V04 - Dès SA-2025
Inter- & Transdisciplinary Perspectives > SES Master level courses > Master's level SES elective courses in Business informatics
Ma - Economics - 90 ECTS
Version: 2021-SA_V05 - Dès le SA-2025
Le choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Public Economics and Policy > Elective courses in Public Economics and Policy > Elective courses of the SES Faculty - max. 15 ECTS > SES Master level courses > Master's level SES elective courses in Business informaticsLe choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Sustainable Development and Social Responsibility > Elective courses in Sustainable Development and Social Responsibility > Elective courses of the SES Faculty - max. 15 ECTS > SES Master level courses > Master's level SES elective courses in Business informaticsLe choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Quantitative Economics > Elective courses in Quantitative Economics > Courses from the SES faculty - max. 15 ECTS > SES Master level courses > Master's level SES elective courses in Business informaticsLe choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Business Economics > Elective courses in Business Economics > Wahlkurse der SES-Fakultät - max. 15 ECTS > SES Master level courses > Master's level SES elective courses in Business informaticsCourse selection for the Master WITHOUT options > Elective courses > Elective courses of the SES Faculty - max. 15 ECTS > SES Master level courses > Master's level SES elective courses in Business informatics
Ma - International and European Business - 90 ECTS
Version: 2021-SA_V02 - dès SA-2025
Courses > Additional courses > SES Master level courses > Master's level SES elective courses in Business informatics
Ma - Management - 90 ECTS
Version: 2021-SA_V04 - Dès SA-2025
Courses: min. 72 ECTS > Elective courses > SES Master level courses > Master's level SES elective courses in Business informatics
Ma - Marketing - 90 ECTS
Version: 2021-SA_V04 - Dès SA-2025
Courses - min. 72 ECTS > Elective Master courses from the whole university > SES Master level courses > Master's level SES elective courses in Business informatics
MiMa - Business Informatics - 30 ECTS
Version: 2020-SA_V01
Cours > Module Informatik > SecurityCours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
MiMa - Data Analytics - 30 ECTS
Version: 2020-SA_V01
À choix 9 crédits ECTS > TMD: Technologies and Modelling for Digitalization
