Deutsch Intern
Institute of Computer Science

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