The course provides an overview of Artificial Intelligence (AI) and how it can be applied in quality control applications. We cover the theoretical background but will focus mainly on practical applications of the concept. The aim is to provide a vision and basic knowledge of the covered topics for a target audience with no or few prior knowledge in the AI field. It will be discussed how quick and continuous process adjustments based on AI-based quality control systems can improve production.
APPLIED PRODUCTION FLOW SIMULATION By working with a simulation project at your company and supported by simulation-based optimization to locate the best productivity improvements, this course develops your skills to the next level to implement simulation projects as part of the production engineering work.
During this free course you will learn what to do when digital transformation is rapidly changing your work life. You will learn how to manage the disruptive process that often occurs due to digitalization and how the new business landscape evolves as a consequence. This course gives you an introduction to: New business opportunities and the need for reorganization The impact of digitalization on customers and on external and internal processes Digital trends changing value creation for your customers How to master strategies, methods and approaches for you and your business when tackling digital transformation Sorting mechanisms for better prioritization The course was developed in collaboration with EIT Digital.
During this free course you will learn what to do when digital transformation is rapidly changing your work life. You will learn how to manage the disruptive process that often occurs due to digitalization and how the new business landscape evolves as a consequence. This course gives you an introduction to: New business opportunities and the need for reorganization The impact of digitalization on customers and on external and internal processes Digital trends changing value creation for your customers How to master strategies, methods and approaches for you and your business when tackling digital transformation Sorting mechanisms for better prioritization The course was developed in collaboration with EIT Digital
I dagens samhälle där digitaliseringen utvecklas med stormsteg i form av big data, cloud computing och internet of things, ökar också fokuset på cybersäkerhet. Den största problematiken för cybersäkerhet är den ständiga och framför allt snabba utvecklingen av nya enheter som skall kunna kommunicera med varandra från vart som helst när som helst. Med bakgrund i dessa ständiga förändringar har cybersäkerhet ett proaktivt och adaptivt förhållningssätt, genom kontinuerlig övervakning och realtidsbedömningar. Kärnan av cybersäkerhet består av metoder för analys och klassificering av datakommunikation för att kunna identifiera samt motverka attacker i realtid. Kursen utgår från cybersäkerhetsanalytikerns olika roller ur ett industriellt perspektiv. Vidare ingår att kunna analysera olika typer av datakommunikation. Med hjälp av olika typer av monitoreringsverktyg kunna identifiera olika typer av cyberattacker, samt tillämpa olika metoder för att upptäcka samt stoppa pågående cybersäkerhetsattacker.
Gain essential practical skills in the application of robotics to understand how to use robotic tools across various industries. On this two-week course you’ll develop a working knowledge of the use of robotics, gaining essential practical skills for robotic applications. Delving into the fundamentals of robotics, you’ll be equipped with the basics of 3D modelling, object detection, computer vision, and image processing. You’ll discover examples and get hands-on experience in developing engaging and useful robotics applications. The skills you gain in this course will help you understand how to develop robotic tools in application across various sectors. Delve into object detection Gain practical skills in the application of robotics Learn from the experts at Luleå University of Technology This course is designed for anyone interested in learning how to develop robotic tools. It will be most beneficial for those who have some theoretical knowledge of robotics and want to gain more hands-on experience. This course will be given in English.
Explore the different tools and software to design, test, and prototype custom robot parts and robust robot behaviour. In recent years, industries around the world have been getting creative when it comes to incorporating robotics into their workflows. This three-week course offers a fascinating introduction to software and tools currently used in robotics. You’ll build basic knowledge of robotics tools and learn how they can be adapted for different industries. Familiarise yourself with Ubuntu operating system and Gazebo framework Gain hands-on experience using 3D robotics models in simulation Learn from the experts at the cutting edge of control engineering, robotics, and AI This course is designed for anyone interested in using robotic solutions in their role and who wants to learn the basics of robotics frameworks. The course will be given in English.
PRODUCTION AUTOMATION - TECHNOLOGY & INTEGRATION PRODUKTIONSAUTOMATION - TEKNIK & INTEGRATIONThe main purpose of the course revolves around the introduction of the applications that automation systems could have for production and manufacturing operations. The course consists of different themes, including industrial robotics, automation equipment and hardware components, as well as practical insights and discussions on why and how to automate in productions. The course aims to provide knowledge and skills in automation so that after completing the course, participants can identify technologies that are available and suitable for implementing automation. The course also helps to increase knowledge of how new automation solutions can be integrated with existing production equipment and technologies. The course includes the following elements: Introduction to the main elements of automation projectsIdentification of elements suitable for automationTechnologies used in automation, e.g. sensors, material handling equipment, end-of-arm-tooling (EOAT), etc.Conceptual design of automated stationsBenchmarking of automation technologies