Process Mining, RPA and AILaajuus (5 cr)
Code: AL00CX16
Credits
5 op
Objective
You will learn to identify, model, analyze and develop the work phases of office work.
You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
You will learn what artificial intelligence means and what it can be used for. You will learn to make artificial intelligence applications.
You will learn to automate the repetitive tasks of office work and use robotic process automation tools.
You will learn how artificial intelligence can be used in office automation.
Enrollment
20.11.2023 - 30.11.2024
Timing
08.01.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
0 - 200
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Marianne Viinikainen
- Liisa Uosukainen
Groups
-
LLABTOIT
-
LLABTO24-25
Learning outcomes
You will learn to identify, model, analyze and develop the work phases of office work.
You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
You will learn what artificial intelligence means and what it can be used for. You will learn to make artificial intelligence applications.
You will learn to automate the repetitive tasks of office work and use robotic process automation tools.
You will learn how artificial intelligence can be used in office automation.
Assessment scale
Approved/Failed
Enrollment
15.05.2023 - 31.10.2023
Timing
01.09.2023 - 30.11.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
0 - 200
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Marianne Viinikainen
- Liisa Uosukainen
Groups
-
LLABTO23-24
Learning outcomes
You will learn to identify, model, analyze and develop the work phases of office work.
You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
You will learn what artificial intelligence means and what it can be used for. You will learn to make artificial intelligence applications.
You will learn to automate the repetitive tasks of office work and use robotic process automation tools.
You will learn how artificial intelligence can be used in office automation.
Assessment scale
Approved/Failed
Enrollment
01.03.2023 - 31.03.2023
Timing
01.04.2023 - 15.08.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
RDI portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
0 - 1000
Degree programmes
- Open studies, business (in Finnish)
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Marianne Viinikainen
Groups
-
LLABAVO23K
Learning outcomes
You will learn to identify, model, analyze and develop the work phases of office work.
You will learn the basics of digital data and the data economy. In addition, you will learn how to measure and analyze log data using process mining methods.
You will learn what artificial intelligence means and what it can be used for. You will learn to make artificial intelligence applications.
You will learn to automate the repetitive tasks of office work and use robotic process automation tools.
You will learn how artificial intelligence can be used in office automation.
Assessment scale
Approved/Failed