Robotic Automation - DIG4HM103 - Opinto-opas

Robotic Automation, 5 cr - DIG4HM103

Upcoming implementations

Robotic Automation DIG4HM103-3008 13.01.2025-16.05.2025 5 op (NONSTOP, ...) +-
Responsible person

Kari Hiekkanen

Campus

Pasila Campus

Teaching language

English

Timing

13.01.2025 - 16.05.2025

Content scheduling

NON-STOP
Groups
- NONSTOP
- MAICTE
- VIRTUAL
- MADIGE
- EXCH
- MAGGU
Teachers

Ralf Rehn

Seats

61 - 100

Further information

Grades 1 - 5

Degree Programme

BUTEM Degree Programme in Business Technologies, ATBUM Degree Programme in Aviation and Tourism Business, LEBUM Degree Programme in Leading Business Transformation, HOSBUM Degree Programme in Tourism and Hospitality Business

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5

Current implementations

Robotic Automation DIG4HM103-3007 15.01.2024-17.05.2024 5 op (NONSTOP, ...) +-
Campus

Pasila Campus

Teaching language

English

Timing

15.01.2024 - 17.05.2024

Enrollment

02.01.2024 - 19.04.2024

Content scheduling

NON-STOP
Groups
- NONSTOP
- MAICTE
- MAICTF
- VIRTUAL
- MADIGF
- MADIGE
- EXCH
Teachers

Ralf Rehn, Niina Kinnunen, Hanna Mäenpää

Seats

61 - 100

Further information

Grades 1 - 5

Degree Programme

BUTEM Degree Programme in Business Technologies, ATBUM Degree Programme in Aviation and Tourism Business, LEBUM Degree Programme in Leading Business Transformation, HOSBUM Degree Programme in Tourism and Hospitality Business

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5

Past implementations

Robotic Automation DIG4HM103-3004 16.01.2023-19.05.2023 5 op (MAICTE, ...) +-
Campus

Pasila Campus

Teaching language

English

Timing

16.01.2023 - 19.05.2023

Learning assignments

Practical automation programming exercises Tests of the theoretical knowledge (quizzes)

Enrollment

02.01.2023 - 14.04.2023
Groups
- MAICTE
- NONSTOP
- VIRTUAL
- MADIGE
- EXCH
Teachers

Jouni Soitinaho, Ralf Rehn, Hanna Mäenpää

Seats

31 - 100

Degree Programme

BUTEM Degree Programme in Business Technologies, ATBUM Degree Programme in Aviation and Tourism Business, LEBUM Degree Programme in Leading Business Transformation

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5

• model business information processes
• recognize and evaluate opportunities for robotic automation
• implement a software robot for task automation
• design a business process automation using a software robot

• visual modelling of information processes
• preconditions for robotic business process automation
• industry case studies of robotic process automation
• development tools for software robots
• implementation of a software robot for task level automation
• design of a process level automation

The course is based on self-studying in a fully virtual mode (time and location independent). All assignments are individual which makes it even more flexible time-wise. However, depending on the implementation it may contain additional visitor lectures that are not recorded.

Recognition of prior learning (RPL)
If a student has acquired the required competence in their previous work tasks, recreational activities or certified courses, for example, they can gain the course credits via a demonstration. The demonstration must be agreed with the course teacher. More information and instructions for recognising and validating prior learning (RPL) are available at https://www.haaga-helia.fi/en/recognition-learning Look at "Instructions to students (master)"

The learning material is mainly composed of video lessons, articles, forum discussions, visitor lectures, software tools and their user's guides. The assignments include multi-choice quizzes, automation hands-on exercises and a final design assignment.

The student must be ready for self-directed study planning, stand-alone information seeking on discussion forums and trial-and-error approach for completing hands-on exercises. No prior programming experience is required and all exercises are done using graphical software tools. However, very basic algorithmic skills are needed and the student must acquire these skills independently whenever needed.

The student understands the basic concepts of robotic automation and its application for business process improvement. They manage the basic use of the automation tool and are capable of designing an automation of a simple task.

The student has a good understanding of the robotic automation concepts and its application for business process improvement. They manage the use of the automation tool well and are capable of designing a business process automation.

The student has an excellent understanding of the robotic automation concepts and its application for business process improvement. They manage the use of the automation tool excellently and are capable of designing a challenging business process automation.