Curricula

Objective

In the course, you will get an overview of the methods, possibilities and applications of data analytics and artificial intelligence, as well as the most common programming environments and libraries used in them.

EUR-ACE Knowledge and understanding
You understand the key concepts of data analytics and artificial intelligence. In addition, you will recognize the different stages of data processing and the libraries suitable for them.

EUR-ACE Engineering practice
You know how to choose libraries suitable for different stages of data analytics and machine learning and use them as part of data processing.

Content

Data sources
Data analysis
Data visualisation
Machine learning

Qualifications

Basics of Programming

Assessment criteria, satisfactory (1)

Sufficient (1):
You know the basic concepts of data analytics and artificial intelligence superficially. You know how to use some methods as part of data processing.

Satisfactory (2):
You know the key concepts of data analytics and artificial intelligence. You know how to apply your knowledge at a basic level in data processing problems.

Assessment criteria, good (3)

Good (3):
You understand the key concepts and basic principles of data analytics and artificial intelligence. You know how to apply your knowledge consistently and successfully in most data processing situations.

Very good (4):
You have a deep understanding of the key concepts and methods of data analytics and artificial intelligence. You know how to apply your information effectively and analyze the results even in more demanding data processing problems.

Assessment criteria, excellent (5)

Excellent (5):
You have an excellent command of the concepts of data analytics and artificial intelligence and combine information from different sources seamlessly. You can apply your knowledge effectively and analyze the results clearly and critically even in more demanding data processing problems.