Robotic Process Automation (RPA)Laajuus (3 cr)
Code: TT00EZ13
Credits
3 op
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.sks.
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.08.2024 - 31.07.2025
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Campus
Karaportti 2
Teaching languages
- Finnish
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop7VIOPE_NonStop7
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Timing
16.04.2024 - 31.12.2025
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teachers
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_2025_MAKSULLINEN_JARJESTELMAOpen UAS 2025
-
VIOPE_2024_MAKSULLINEN_JARJESTELMAViope TiVi (NonStop), year 2024
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.01.2024 - 31.07.2025
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_2024_MAKSULLINEN_JARJESTELMAViope TiVi (NonStop), year 2024
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Campus
Karaportti 2
Teaching languages
- Finnish
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop6VIOPE_NonStop6
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Campus
Karaportti 2
Teaching languages
- Finnish
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_9Viope_nonstop_9
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- Finnish
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_11Viope_nonstop_11
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- Finnish
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_12Viope_nonstop_12
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- Finnish
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_13Viope_nonstop_13
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Timing
18.01.2023 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop3VIOPE_NonStop3
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
18.01.2023 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
ATX22TVSOpen UAS: NonStop Autumn 2022
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Further information
ENROLMENTS
Open UAS Students via hakijan työpöytä https://hakija.oma.metropolia.fi
Metropolia's Degree Students direct in Metropolia's Viope.
- Go to: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
18.01.2023 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop5VIOPE_NonStop5
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop4VIOPE_NonStop4
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop7VIOPE_NonStop7
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop7VIOPE_NonStop7
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop7VIOPE_NonStop7
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
CareerBoost_TXK_21Career Boost 21 (Tivi)
-
CareerBoost_TXK_22Career Boost 22 (TiVi)
-
Career_Boost_TXK_21Career Boost 2021 (TiVi)
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.
Timing
19.01.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
ATX22TVKOpe UAS: NonStop Spring 2022
Objective
After completing the course, student has basic understanding of RPA and she/he is able to perform basic RPA tasks.
Content
Introduction to RPA
UiPath Platform
Studio core activities & features
Variables and conditions
Different data types & data manipulation
Excel, PDF & Image Recognition
Modular automation
Bulding fault-tolerant and maintainable robots
Enterprise-level UiPath automation
Typical RPA project phases.
Location and time
Course can be done in own pace. Study environment is Metropolia's Moodle.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Student workload
Up to student her-/himself.
Content scheduling
Up to student her-/himself.
Further information
ENROLMENTS
Open UAS Students via hakijan työpöytä https://hakija.oma.metropolia.fi
Metropolia's Degree Students direct in Metropolia's Viope.
- Go to: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass after at least 80% of course has been done.
Assessment methods and criteria
After student has done 80% of course he/she get's grading pass.