Robotic Process Automation (5 cr)
Code: TX00DZ63-3003
General information
- Enrollment
-
28.11.2022 - 08.01.2023
Registration for the implementation has ended.
- Timing
-
09.01.2023 - 12.03.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Seats
- 40 - 50
- Degree programmes
- Industrial Management
- Teachers
- Ari Moilanen
- Nina Hellman
- Niko Lehtonen
- Groups
-
TXQ20SCMIndustrial Management, Supply Chain Management
-
TXQ20ICTIndustrial Management, ICT Business
-
TXQ21ICTIndustrial Management, ICT Business
-
TXQ22S2Tuotantotalouden tutkinto-ohjelma monimuoto
-
TXQ21SCMIndustrial Management, Supply Chain Management
- Course
- TX00DZ63
Objective
The student understands the principles of Robotic Process Automation (RPA) and the business opportunities that can be achieved. The student has implemented an RPA task.
Content
- Business opportunities that can be achieved with Robotic Process Automation (RPA), including use cases
- RPA logic and implemetation
- Planning and implementing RPA projects
Further information
Vapaasti valittava ryhmille TXQ20SCM TXQ20ICT TXQ21ICT TXQ21SCM
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s central concepts, models and is able to utilize the most common tools. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement in some areas. Students know the course concepts and models well and are able to justify their decisions. The students are able to apply their knowledge in new situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise and areas requiring further development.
Assessment criteria, excellent (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts, models and tools. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in new situations. Students are able to analyze the business sector expertise and the evolvement of their own expertise.
Assessment criteria, approved/failed
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s central concepts, models and is able to utilize the most common tools. The student understands the criteria and principles of the expertise development.
Qualifications
Basics of programming, preferably Python programming