Augmented reality and computer vision algorithms 2022
The aim of this course is to give practical and theoretical knowledge in nowadays computer vision algorithms, its structure and functioning principles and their usage in augmented reality systems and…
- Docētājs: Kristaps Brigmanis-Briģis
Introduction in machine-learning and neural networks
Introduction in machine-learning and neural networks.
Study year 2021/2022.
- Docētājs: Kristaps Brigmanis-Briģis
Innovations and project managment
The maximum grade can be 9. It will consist of the following: Participation in practical tasks - 3 Content of the pitch relevance – 3 Reflecting on all pitch videos – 3 Deliverables: 7.04. Submit vid…
- Docētājs: Linda Lancere
- Docētājs: Edmunds Jansons
- Docētājs: Kaspars Osis
- Docētājs: Mairita Zaķe
Geometry Processing and Visualization
The aim of this course is to give practical and theoretical knowledge about geometry, trigonometry related to computer graphics, 2D and 3D graphics and objects, coordinate systems, projections, curve…
- Docētājs: Imants Zarembo
Motion graphics and environmental effects
The aim of this course is to give theoretical and practical knowledge in creating and exporting motion graphics using DaVinci Resolve software. Student’s practical skills are tested on the set of tas…
- Docētājs: Alvis Misjuns
Human Factors and Human-Computer Interaction
The aim of this course is to give practical and theoretical knowledge in the latest tendencies in human factors and human-computer interaction (HCI) field. Students are introduced with interaction de…
- Docētājs: Alina Dolmate
- Docētājs: Raitis Linde
UX Strategy Framework
The goal of the course is to give knowledge in the field of user experience (UX) design what is an important issue for the development of sustainable VR/AR environments. Students are introduced with …
- Docētājs: Līga Lētiņa
- Docētājs: Mārtiņš Janševskis
- Docētājs: Kaspars Osis