Duration:
2 Semester | Turnus of offer:
each year, can be started in winter or summer semester | Credit points:
8 |
Course of studies, specific field and terms: - Master Medical Informatics 2019 (optional subject), Medical Data Science / Artificial Intelligence, 1st or 2nd semester
- Master Medical Informatics 2014 (optional subject), medical image processing, 1st or 2nd semester
- Master Computer Science 2014 (compulsory), specialization field robotics and automation, 1st and 2nd semester
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Classes and lectures: - Artificial Intelligence 2 (lecture, 2 SWS)
- Artificial Intelligence 2 (exercise, 1 SWS)
- Medical Robotics (exercise, 1 SWS)
- Medical Robotics (lecture, 2 SWS)
| Workload: - 110 Hours private studies
- 90 Hours in-classroom work
- 40 Hours exam preparation
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Contents of teaching: | - Support Vector Machines and Dualization
- Classification
- Regression
- Time-Series Prediction
- Lagrange Multipliers
- Sequential Minimal Optimization
- Geometric Reasoning
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Qualification-goals/Competencies: - Students are able to explain the concepts of forward and inverse kinematics for the examples of 3-joint and 6-joint robots.
- They are able to apply methods of medical robot systems and to simple practical applications.
- Students are able to transfer methods of motion learning to simple practical problems.
- Students are able to modify templates for dynamic calculations in order to create the calculations for their own constructions.
- 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.
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Grading through: |
Responsible for this module: Teachers: |
Literature: - J. -C. Latombe: Robot Motion Planning - Dordrecht: Kluwer 1990
- J.J. Craig: Introduction to Robotics - Pearson Prentice Hall 2002
- : Vorlesungsskript: Med. Robotics
- P. Norvig, S. Russell: Künstliche Intelligenz - München: Pearson 2004
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Language: |
Notes:Note: Module will not be offered in winter semester 2024/2025 Admission requirements for taking the module: - None Admission requirements for participation in module examination(s): - Successful completion of exercise assignments as specified at the beginning of the semester Module Exam(s): - CS4271-L1: Artificial Intelligence 2 and Medical Robotics, written exam, 90min, 100% of the module grade |
Letzte Änderung: 3.9.2024 |
für die Ukraine