Data Analytics and Basics of Artificial IntelligenceLaajuus (5 cr)

Objectives

The student knows the basics of data analysis and the most important methods in the Python programming language. The student knows how to process, analyze and visualize data. The student knows the basics of artificial intelligence, the most important concepts and knows different applications.

Content

Fundamentals of data analysis and key methods in Python programming language. Processing, analyzing and visualizing data. The basics of artificial intelligence, the most important concepts and different applications.

Assessment criteria, satisfactory (1-2)

The student is able to process data, analyze and make visualizations. The student knows the basics of artificial intelligence and the most important concepts.

Assessment criteria, good (3-4)

The student is able to process data, analyze and make visualizations. The student knows the basics of artificial intelligence, the most important concepts and can create artificial intelligence applications based on examples.

Assessment criteria, excellent (5)

The student is able to handle, analyze and visualize data in a versatile way. The student knows well the basics of artificial intelligence, the most important concepts and knows how to create artificial intelligence applications.