Study Guide

Objective

The course focuses on modern intelligent systems in process automation and control. The goal is to give insights and understanding of the design and usage of intelligent systems in automation.

Knowledge and understanding
After completing the course, the student should be able to:
- explain the basic steps and functionality of intelligent systems for automation
- describe the challenges and opportunities with intelligent systems

Skills and abilities
After completing the course, the student should be able to:
- analyze the needs and requirements for an intelligent system
- practice with different methods for realizing intelligent systems

Evaluation ability and approach
After completing the course, the student should be able to:
- plan the development of an intelligent system
- propose and evaluate solutions for intelligent systems

Content

The course focuses on different ways of designing and implementing intelligent systems in a process and automation context. Important steps of an intelligent system are data collection, preparation, visualization (monitoring) and the final step of automated decision making. Examples of automated decision making are detection of missing data, identification of faults and malfunctions, classification tasks, process optimization and system control. The content could explicitly include data-driven and model-driven fault detection, principles of interface design, digitalization and cyber security issues and aspects concerning IoT solutions.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Satisfactory skills in understanding and development of intelligent systems

Assessment criteria, good (3)

Good skills in understanding and development of intelligent systems.

Assessment criteria, excellent (5)

Excellent skills in understanding and development of intelligent systems.

Qualifications

No prerequisites