• model business information processes
• understand RPA and AI elements as part of the Hyperautomation concept
• recognize and evaluate opportunities for robotic automation
• acquire skills in and overview of leading robotic automation environments
• implement / design / investigate automation flows in business environment
Contents
• model and improve business information processes
• RPA and AI elements as part of the Hyperautomation concept
• leading development tools
• hands on with leading automation tools
Implementation methods, Demonstration and Work&Study
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 recognizing and validating prior learning (RPL) are available at https://www.haaga-helia.fi/en/recognition-learning Look at "Instructions to students (master)"
Learning materials
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.
Intro
With the increasing demand for process automation solutions, having skills in Robotic Process Automation can open up a world of opportunities. By understanding the basics of RPA, enhancing development skills and understanding, you can acquire the keys needed in future workplaces. Start the Journey now!
Further information
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.
Learning materials
Starting level and linkage with other courses
This course unit is part of the master's degree's curriculum. Completion of the course requires master's study entitlement.
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.
Assessment criteria
Assessment criteria - grade 1
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 understands the basic concepts of robotic automation and its application for business process improvement. He/she manages the basic use of the automation tool and is capable of designing an automation of a simple task.
Assessment criteria - grade 3
The student has a good understanding of the robotic automation concepts and its application for business process improvement and/or he/she manages the use of the automation tool well and is capable of designing a business process automation.
Assessment criteria - grade 5
The student has an excellent understanding of the robotic automation concepts and its application for business process improvement and/or she/he manages the use of the automation tool excellently and are capable of designing a challenging business process automation.