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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_NonStop7
    VIOPE_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_JARJESTELMA
    Open UAS 2025
  • VIOPE_2024_MAKSULLINEN_JARJESTELMA
    Viope 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_JARJESTELMA
    Viope 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_NonStop6
    VIOPE_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_9
    Viope_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_11
    Viope_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_12
    Viope_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_13
    Viope_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_NonStop3
    VIOPE_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
  • ATX22TVS
    Open 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_NonStop5
    VIOPE_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_NonStop4
    VIOPE_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_NonStop7
    VIOPE_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_NonStop7
    VIOPE_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_NonStop7
    VIOPE_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_21
    Career Boost 21 (Tivi)
  • CareerBoost_TXK_22
    Career Boost 22 (TiVi)
  • Career_Boost_TXK_21
    Career 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
  • ATX22TVK
    Ope 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.