Found 12 relevant results in 2.53s where lecturer="Andreas Streich"
The course guides participants in teams through building end-to-end ML systems for real business problems. Covering the full lifecycle from problem formulation to deployment, participants tackle real-world challenges: imperfect data, bias/fairness, regulatory compliance, and performance trade-offs. Hands-on work includes a baseline pipeline plus optional extensions in areas of interest.
Additional Task MAS|CAS
Zusatzleistung MAS|CAS
Independent deepening studies on a defined field within MAS.
This course provides fundamental training in areas of machine learning. The course is intended for managers and leaders who want to understand the basics of the technologies that are likely to change almost every aspect of our lives. We explain technical concepts in simple terms and no previous experience with ML is expected.
CAS Project: New Business Models
CAS-Arbeit Neue Geschäftsmodelle
The participants deal individually with a current problem from the topics of the CAS New Business Models.
CAS Thesis on System Aspects
CAS-Arbeit Systemaspekte
The participants deal with a current problem from the topics of CAS System Aspects.
CAS Thesis on Technology Potentials
CAS-Arbeit Technologie-Potenziale
The participants, in heterogeneous teams, deal with a current problem from the topics of the CAS Technology Potentials.
Computer Science I
Informatik I
The course covers the basic concepts of computer programming.
Computer Science II
Informatik II
Computer Science II lays the foundation for understanding, designing, and analyzing algorithms and data structures.It also provides an overview of various programming concepts, such as functional programming and static and dynamically typed programming languages.
This course provides a fundamental training in the areas of data science and machine learning. It is intended for managers and leaders who want to understand the typical workflow, fundamental techniques and key challenges of data science and machine learning to drive successful implementations.
MAS Thesis
MAS-Arbeit
Individually and independently, students address a practice-related problem in the area of future transport systems. To do this they deploy, under the supervision of an expert, what they have learned in the MAS programme. They set out the problem, the procedure and the solution in a written report which they present and defend in front of a specialist audience.
This is an introduction to probability, statistics, and machine learning for students of mechanical engineering. We cover the fundamental concepts from probability theory, statistics and machine learning, with a focus on applications for mechanical engineering.
System Aspects of Air and Shipping Traffic
Systemaspekte von Flug- und Schiffsverkehr
Air and shipping traffic cover a substantial part of human mobility, air traffic in passenger as well as freight transport, shipping mainly in freight transport. Students gain an overview, limit modes of mobility and learn to classify air and shipping traffic in the overall system of mobility.