Robotic Process Automation (5 cr)
Code: TX00DZ63-3005
General information
- Enrollment
-
02.12.2024 - 12.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 11.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Degree programmes
- Industrial Management
- Teachers
- Nina Hellman
- Niko Lehtonen
- Groups
-
TXQ22SCMIndustrial Management, Supply Chain Management
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TXQ22ICTIndustrial Management, ICT Business
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TXQ23S2Tuotantotalouden tutkinto-ohjelma monimuoto
- Course
- TX00DZ63
Implementation has 9 reservations. Total duration of reservations is 27 h 0 min.
| Time | Topic | Location |
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Thu 16.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 30.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 13.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 27.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 13.03.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 20.03.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 03.04.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 17.04.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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Thu 08.05.2025 time 17:00 - 20:00 (3 h 0 min) |
Ohjelmistorobotiikka TX00DZ63-3005 |
Online
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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 TXQ22ICT ja TXQ22SCM
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