XtAI Programme
The XtAI course offers a variety of modules on AI, machine learning and 3D interfaces, in which both the theoretical basics and current application scenarios of state-of-the-art AI and XR methods are taught. The course is divided into mandatory and elective area, followed by thesis and thesis defence, with students needing to achieve a total of 120 ECTS credits for the course completion. Each module provides a specied number of ECTS credits upon successful completion. Students are free to choose modules from the elective area, so that modules of interest can be attended. Students must achieve 60 ECTS credits in total in the elective area through the selected modules. The Master's programme XtAI has a standard period of study of 4 semesters.
The module distribution required to complete the XtAI course, as well as detailed information on the available modules in each area are listed below.
We have also compiled a few suggestions on how a full Master's course may be constructed from these lectures under course schedules.
In the elective area, students are able to choose their lectures from several sub-areas. For each sub-area, a minimum number of ECTS credits is required to obtain the degree. Additionally, students may only aquire a certain amount of ECTS credits from each sub-area. How many ECTS credits must or can be achieved in each sub-area through the corresponding lectures is listed below.
| Indepth lectures on the core concepts of artificial intelligence: | The minimum number of ECTS credits to be achieved is 10. In this sub- area a maximum of 35 ECTS may be achieved. |
|---|---|
| Module | ECTS credits |
| Computer Vision | 5 |
| Data Science 1 | 5 |
| Data Science 2 | 5 |
| Machine Learning 1 | 5 |
| Machine Learning 2 | 5 |
| Natural Language Processing 1 | 5 |
| Natural Language Processing 2 | 5 |
| Selected Topics in AI Methods 1 | 5 |
| Selected Topics in AI Methods 2 | 5 |
| Theory of Artificial Intelligence 1 | 5 |
| Theory of Artificial Intelligence 2 | 5 |
| Lectures on extended reality: | The minimum number of ECTS credits to be achieved is 10. In this sub-area a maximum of 20 ECTS may be achieved. |
|---|---|
| Module | ECTS credits |
| 3D User Interfaces | 5 |
| Multimodal Interfaces | 5 |
| Principles of Interactive Systems | 5 |
| Selected Topics in XR Methods | 5 |
| Computer Science lectures aiding the use of Artifcial Intelligence | The minimum number of ECTS credits to be achieved is 0. In this sub- area a maximum of 10 ECTS may be achieved. |
|---|---|
| Module | ECTS credits |
| Deductive Databases | 5 |
| Discrete Event Simulation | 8 |
| Security of Software Systems | 5 |
| Selected Topics in Computer Science | 5 |
| Lectures on applied Artiicial Intelligence: | The minimum number of ECTS credits to be achieved is 10. In this sub-area a maximum of 25 ECTS may be achieved. |
|---|---|
| Module | ECTS credits |
| 3D Point Cloud Processing | 5 |
| Advanced Automation | 8 |
| Databases 2 | 5 |
| Interactive Computer Graphics | 5 |
| International Summer School XtAI | 5 |
| Machine Learning in Bioinformatics | 5 |
| Music Information Retrieval | 5 |
| Robotics 1 | 5 |
| Robotics 2 | 5 |
| Scientific Internship xtAI | 10 |
| Selected Topics in xtAI Application & Technologies | 5 |
| Self-aware Computing | 5 |
| Two seminars specifically geared towards eXtended Artificial Intelligence: | The minimum number of ECTS credits to be achieved is 5. In this sub- area a maximum of 10 ECTS may be achieved. |
|---|---|
| Module | ECTS credits |
| Seminar I - eXtended Artificial Intelligence | 5 |
| Seminar II - eXtended Artificial Intelligence | 5 |
| This module contains projects, cooperations and talks on interesting topics: | The minimum number of ECTS credits to be achieved is 30. |
|---|---|
| Module | ECTS credits |
| Introduction in AI | 5 |
| XtAI Lab 1 | 5 |
| XtAI Lab 2 | 10 |
| XtAI Lab 3 | 10 |
| The minimum number of ECTS credits to be achieved is 30. | |
|---|---|
| ECTS credits | |
| Master’s Thesis XtAI | 25 |
| Oral Examination XtAI | 5 |
FSB (subject-specific provisions) including SFB (list of modules):
MHB (Module Catalogue, Subdivided Module Catalogue) and SFB (Subject Description) can be found here.
