Basics of Data Analysis and Machine LearningLaajuus (5 cr)

Objectives

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

Content

Basics of Data Analysis and Basic Methods in Python Programming Language. Data processing, analysis and visualization. Fundamentals of artificial intelligence, key concepts and applications.

Assessment criteria, satisfactory (1-2)

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

Assessment criteria, good (3-4)

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

Assessment criteria, excellent (5)

The student is able to process data, analyze and make visualizations in many ways. The student knows well the basics of artificial intelligence, the most important concepts and is able to create artificial intelligence applications.