A student understands a definition of intelligent process automation. A student recognises some functionalities of intelligent process automation. A student recognises an application of intelligent process automation.
In addition to the criteria listed above, a student understands several functionalities of intelligent process automation with limitations and achievable benefits. A student recognises applications of intelligent process automation.
In addition to the criteria listed above, a student widely understands and recognises functionalities, limitations and achievable benefits of intelligent process automation. A student recognises several applications of intelligent process automation and can engineer applications of intelligent process automations.
Anne Cumini
Lectures, notes made by a student, other referred material by a lecturer
Virtual teaching, home excercises (individual and/or working group), self-learning.
Student performance assessment is based on the given and qualified exercises.
Finnish
30.08.2021 - 27.11.2021
02.07.2021 - 18.09.2021
5 cr
21YAR
Pasi Airikka
Enthusiasm on the course content and learning is recommended.
MD in Automation in Smart Industry
Master's Degree Programme in Automation in Smart Industry
TAMK Main Campus
0-5
None.
None.
There is no exam in the course. A failed course can be passed by completing all the exercises given in the course.
The course involves no travelling abroad.
The total estimated working hours for succesfully passing the course is ca. 133 hours (5 cr x 1600/60 h/cr) of which a student has to allocate a major part for self-learning.
The more detailed course structure is introduced in the first class and it will be available in the course information on Moodle afterwards.