Modul CS5204-KP04, CS5204

Duration:

Turnus of offer:

Course of studies, specific field and terms:

• Master MES 2020 (optional subject), computer science / electrical engineering, Arbitrary semester
• Master Robotics and Autonomous Systems 2019 (optional subject), Elective, 1st or 2nd semester
• Master Biophysics 2019 (optional subject), Elective, 1st semester
• Master MES 2014 (optional subject), computer science / electrical engineering, Arbitrary semester
• Master Biomedical Engineering (optional subject), Interdisciplinary modules, 2nd semester
• Master CLS 2016 (optional subject), computer science, 3rd semester
• Master Computer Science 2012 (optional subject), advanced curriculum intelligent embedded systems, 2nd or 3rd semester
• Master Computer Science 2012 (optional subject), specialization field robotics and automation, 3rd semester

Qualification-goals/Competencies:

• The students are able to choose a method for machine learning for a given application amongst a variety of such methods.
• The chosen method can be customized to the needs of the application. The process of customization goes well beyond straightforward search of parameters and involves adjustments to the basic mathematical techniques. This leads to innovative applications for machine learning, designed and implemented by the students. The starting point are support vector machines.

Grading through:

• Oral examination

Responsible for this module:

• Prof. Dr.-Ing. Achim Schweikard

Teachers:

• Institute for Robotics and Cognitive Systems

• Prof. Dr.-Ing. Achim Schweikard

Literature:

• P. Norvig, S. Russell: Künstliche Intelligenz - München: Pearson 2004

Language:

• offered only in English

Notes:

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- None

Module Exam(s):
- CS5204-L1: Artificial Intelligence 2, written exam, 90min, 100% of the module grade

Letzte Änderung: