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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

ECTS credits

 
Mandatory area   30  
  XtAI Labs 25  
  Introduction in AI 5  
Elective area   60  
  XtAI Seminars min:5 max:10  
  Core AI Methods min:10 max:35  
  Core XR Methods min:10 max:20  
  XtAI Application & Technologies min:10 max:25  
  Computer Science min:0 max:10  
Thesis and thesis defence   30  
Total   120  

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