Basics of Data Analysis and Machine LearningLaajuus (5 cr)
Code: 5T00FH09
Credits
5 op
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.
Enrolment period
01.12.2022 - 17.01.2023
Timing
01.01.2023 - 28.05.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
Building Services Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Building Services Engineering
Teachers
- Teemu Heinimäki
Person in charge
Teemu Heinimäki
Groups
-
20AI254
Objectives (course unit)
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 (course unit)
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) (course unit)
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) (course unit)
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) (course unit)
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.
Assessment scale
0-5