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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 and optional courses, Bachelors
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 and optional courses, Bachelors
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
  • Complementary competence and optional courses, Bachelors
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