Data Analytics and Basics of Artificial Intelligence (5 cr)
Code: 5G00ET68-3004
General information
Enrolment period
30.07.2022 - 11.09.2022
Timing
29.08.2022 - 23.12.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
ICT Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in ICT Engineering
Teachers
- Pekka Pöyry
Person in charge
Pekka Pöyry
Groups
-
20I227
-
20I226
Objectives (course unit)
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 (course unit)
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) (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 can create artificial intelligence applications based on examples.
Assessment criteria, excellent (5) (course unit)
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.
Assessment scale
0-5