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  • humans and virtual reality
Institut für Informatik

Course Schedules

While XtAI, as most German Master's courses in the area of computer science, allow students to choose lectures suited to them from a pool of elective subjects, we have compiled a few possible ways to structure your course. When varying from these suggestions, please remember to adhere to the minimum and maximum ECTS requirements outlined in the course programme.

Area Sub-area Credits
Mandatory courses   35 ECTS
Mandatory electives   55 ECTS
  xtAI Seminars 5-10 ECTS
  Core AI Methods 10-35 ECTS
  Core XR Methods 10-20 ECTS
  xtAI Applications & Technologies 10-25 ECTS
  Computer Science 0-10 ECTS
Degree area   30 ECTS
Total   120 ECTS

Area Sub-area Credits
Mandatory courses   30 ECTS
Mandatory electives   60 ECTS
  xtAI Seminars 5-10 ECTS
  Core AI Methods 10-35 ECTS
  Core XR Methods 10-20 ECTS
  xtAI Applications & Technologies 10-25 ECTS
  Computer Science 0-10 ECTS
Degree area   30 ECTS
Total   120 ECTS

AI&XR (2024) suggested schedule

  • Refer to the course directory on WueStudy to determine the currently offered elective courses.
  • KOP: Modules for the control examination

 

Course Semester Module Area ECTS SWS
1. (Winter term)        
  Introduction in AI Mandatory Area 5 4
  XtAI Lab1 Mandatory Area 5 3
  Seminar I - XtAI XtAI Seminars 5 2
  Machine Learning 1 Core AI Methods 5 4
  Natural Language Processing 1 Core AI Methods 5 4
  Principles of Interactive Systems Core XR Methods 5 4
2. (Summer term)        
  XtAI Lab2 Mandatory Area 10 6
  Natural Language Processing 2 Core AI Methods 5 4
  Selected Topics in AI Methods 1/2 Core AI Methods 5 4
  3D User Interfaces Core XR Methods 5 4
  Interactive Computer Graphics XtAI Application & Technologies 5 4
3. (Winter term)        
  XtAI Lab3 Mandatory Area 10 6
  Seminar II - XtAI XtAI Seminars 5 2
  Robotics 1 XtAI Application & Technologies 5 4
  3D Point Cloud Processing XtAI Application & Technologies 5 4
  Theory of Artificial Intelligence 1 Core AI Methods 5 4
4. (Summer term)        
  Master’s Thesis XtAI Thesis 25  
  Oral Examination XtAI Thesis 5  

Course Semester Module Area ECTS SWS
1. (Winter term)        
  Introduction in AI Mandatory Area 5 4
  XtAI Lab1 Mandatory Area 5 3
  Seminar I - XtAI XtAI Seminars 5 2
  Machine Learning 1 Core AI Methods 5 4
  Natural Language Processing 1 Core AI Methods 5 4
  Principles of Interactive Systems Core XR Methods 5 4
2. (Summer term)        
  XtAI Lab2 Mandatory Area 10 6
  Computer Vision Core AI Methods 5 2
  3D User Interfaces Core XR Methods 5 4
  Multimodal Interfaces Core XR Methods 5 4
  Interactive Computer Graphics XtAI Application & Technologies 5 4
3. (Winter term)        
  XtAI Lab3 Mandatory Area 10 6
  Seminar II - XtAI XtAI Seminars 5 2
  Theory of Artificial Intelligence 1 Core AI Methods 5 4
  Scientific Internship xtAI XtAI Application & Technologies 10 P
4. (Summer term)        
  Master’s Thesis XtAI Thesis 25  
  Oral Examination XtAI Thesis 5  
         

Course Semester Module Area ECTS SWS
1. (Winter term)        
  Introduction in AI Mandatory Area 5 4
  XtAI Lab1 Mandatory Area 5 3
  Seminar I - XtAI XtAI Seminars 5 2
  Machine Learning 1 Core AI Methods 5 4
  Theory of Artificial Intelligence 1 Core AI Methods 5 4
  Principles of Interactive Systems Core XR Methods 5 4
2. (Summer term)        
  XtAI Lab2 Mandatory Area 10 6
  Computer Vision Core AI Methods 5 2
  Selected Topics in AI Methods 1/2 Core AI Methods 5 4
  3D User Interfaces Core XR Methods 5 4
  Advanced Automation XtAI Application & Technologies 5 4
3. (Winter term)        
  XtAI Lab3 Mandatory Area 10 6
  Seminar II - XtAI XtAI Seminars 5 2
  Natural Language Processing 1 Core AI Methods 5 4
  Robotics 1 XtAI Application & Technologies 8 6
  Selected Topics in Computer Science Computer Science 5 4
4. (Summer term)        
  Master’s Thesis XtAI Thesis 25  
  Oral Examination XtAI Thesis 5