LEARNING OUTCOMES
Credits: 3
Schedule: 08.08.2022 - 26.08.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Marcela Acosta-Garcia, Alex Jung
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
This course will teach you some of the most widely used machine learning (ML) techniques. A focus will be on human-centered applications of ML methods that require high levels of privacy protection and transparency. The course includes lecture that teach basic principle of human-centered ML and its applications (such as elderly care). You will learn to implement privacy-preserving and transparent ML methods using few lines of Python during exercise sessions.