Data-analysis, Data Visualization and Artificial Intelligence (5 cr)
Code: NY00EK76-3007
General information
Enrolment period
09.06.2025 - 31.08.2025
Timing
01.09.2025 - 02.11.2025
Credits
5 op
Mode of delivery
Contact teaching
Unit
Educations
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
20 - 60
Teachers
- Esa Parkkila
Person in charge
Esa Parkkila
Groups
-
25YAMK
Objectives (course unit)
The student knows the basics of data analysis and the most important methods. The student knows how to process, analyze and visualize data. The student knows the basics of artificial intelligence, the most important concepts and is able to interpret the results and know the limitations and possibilities of the methods.
Content (course unit)
The basics of data analysis and the main methods. Processing, analyzing and visualizing data. Basics of Artificial Intelligence, key concepts and methodology evaluation.
Assessment criteria, satisfactory (1-2) (course unit)
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) (course unit)
The student is able to process data, analyze and make visualizations. The student knows the basics of artificial intelligence, the most important concepts and knows the limitations and possibilities of methods.
Assessment criteria, excellent (5) (course unit)
The student is able to handle data in a versatile way, analyze and visualize. Students are familiar with the basics of artificial intelligence, the most important concepts and are able to interpret the results and know the limitations and possibilities of the methods.
Assessment scale
0-5