What can you get out of this seminar?
Weekly event on the topic of process optimization, which classifies the specific IT platforms in each case. The software-based Robotic Systems (RPA) are dealt with in depth in order to work out their typical areas of application. To this end, participants will learn about various evaluation criteria for selecting a system, as well as the challenges involved in implementation.
What do you learn in the seminar?
- To formulate a task for an RPA Project, you will bring your ideas and hypotheses and create a plan for solving the existing exercise.
- Algorithms and Metrics for your Activity and to choose from different Models. You will use examples, learn basic algorithms, and explore how to use them best.
- RPA Model’s creation. You will have a look at examples from existing learning Labs and learn to adapt your knowledge in practice.
- You are responsible for the quality of your RPA Models. You will learn to reduce overfitting and be consulted and educated about evaluation methods.
- To interpret results write up reports, and share your insights within a disputation. You will learn to define algorithms to compare information based on prepared data sets and search for methods for effective quality improvements.
In small groups, participants are given the opportunity to apply the knowledge they have acquired on their own and to put it into practice with the help of the low code platform of UiPath; within their own projects. In doing so, they acquire expertise in methodology and implementation as well as teamwork and project planning.
Who is this seminar for?
- Students
- IT specialists without RPA technology knowledge
- other specialists interested in automating workflows for their daily work (IT specialists, accounting, sales)
Date
Summer Semester 2025
Time
Time zone: Europe/Berlin
*) to be defined
Event location
Munich University of Applied Sciences
D-80335 Munich
Tel.: +49 (0) 89 12 65 – 0
Fax: +49 (0) 89 12 65 – 3000
Internet: www.hm.edu
Type of event
Private event / online / hybrid
Target audience
Language
EN
