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, ...) +-
Teaching methods and instruction

VIRTUAL NON-STOP

Self learning materials in Moodle an in UiPath Academy

• 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

Responsible person

Kari Hiekkanen

Learning material and recommended literature

• 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

Working life connections

World leading tool/environment - UiPath and UiPath Studio are utilized

Campus

Pasila Campus

Exam dates and re-exam possibilities

No exam

Teaching language

English

Internationality

World leading tool/environment - UiPath and UiPath Studio are utilized

Timing

13.01.2025 - 16.05.2025

Learning assignments

Basic setup: 1. Warm-up Sign up for the UiPath Academy and install Studio/StudioX Implement an automation program using StudioX 2. RPA and BPM RPA and BPM Quiz 3. Define workflow Define a workflow 4. RPA & AI RPA & AI Quiz 5. BA training DoC of RPA Business Analysis Fundamentals (UiPath Academy) Voluntary Chart 6. Final excercise 2 options 7. Self-reflection Self-reflection and Feedback 0 0

Enrollment

02.01.2025 - 10.01.2025

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

No ongoing implementations yet.

Past 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, 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

• 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.

When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25%, your grade will be lowered by one. If you are absent more than 50%, the course is failed.

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.