Data analytics and artificial intelligence (4cr)

Objectives (course unit)

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 (course unit)

This course will give you a comprehensive overview of the methods, possibilities and applications of data analytics and artificial intelligence. You will learn to understand the key concepts and identify the different stages of data processing and the libraries that can be used for them. You will be able to select and use libraries suitable for the different stages of data analytics and machine learning in practical data processing. This course will enable you to apply data analytics and artificial intelligence methods in a variety of situations. Data sources Data analysis Data visualisation Machine learning

Prerequisites (course unit)

Basics of Programming

Location and time

Online implementation

Assessment scale

0-5

Teaching methods

- Online implementation, with 5 online guidance sessions during the semester - During the guidance session, selected demos selected by the teacher are reviewed and students are also offered guidance on exercises

Learning materials

Course material page (lecture materials, exercises)

Student workload

Distance learning 98 h (environment preparation, familiarisation with the material, exercises) Online demos led by the teacher and guidance sessions 10 h Total 108 h

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Further information

The course assessment consists of returned exercises (no separate exam). There is one given deadline for returning exercises for the course, before which the exercises must be submitted for assessment. The student may submit exercises for assessment at any point in the course.