COURSE DESCRIPTION
This course has flexibel start and you may join between October 21 and November 17, 2024
This course is designed for engineers, scientists, operators, and managers interested in utilizing AI-based methods for condition monitoring and prognostics in industrial systems and high-value assets. Participants will learn to identify common failure causes and predict Remaining Useful Life (RUL) using historical data, involving tasks such as data processing, feature selection, model development, and uncertainty quantification. Led by experienced professionals from industry and academia, the course covers the basics of prognostics and introduces various AI methods, including deep learning. It represents state-of-the-art AI-driven prognostic techniques, advanced signal processing, and feature engineering methods.
You may join the course any time between October 21 and November 17, 2024. With the recommended study pace of 25%, the course would take approximately seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than January 15, 2025.
Scheduled online meetings
November 11th 2024
January 15th 2025
Would you like to know what Industry 4.0 is about? Then this course is for you! In the course, we look at enabling technologies of Industry 4.0 from a human and industrial perspective. The course covers many topics and you will learn the basic terminology related to Industry 4.0 as well as insight and understanding of the Fourth Industrial Revolution and how it is set to affect industry and individuals.
Do you want to learn the basics of Industry 4.0, at your own pace, whenever you want? Then the MOOC (Massive Open Online Course) Introduction to Industry 4.0 is for you. You will learn basic terminology and theory while gaining insight and understanding of the fourth industrial revolution and how it affects us. The MOOC: Introduction to Industry 4.0 is part of MDU's investment in smart production. The course is divided into ten modules, each of which describes different technologies in Industry 4.0. We estimate that it will take about 40 hours to complete the course and it is in English. The MOOC can also give you eligibility to apply for these 3 university courses at Mälardalen University: Internet of things for industrial applications, 5 credits Simulation of production system, 5 credits Big data for industrial applications, 5 credits
This course is taught in Swedish. Lean production consists of a set of principles and techniques, which are included in the business's systems and processes. These can be derived into a particular business philosophy and strategy that encompasses the entire organization's operations. The course lays the foundation for continued broader and deeper studies of how operations are run at the new generation of world-leading companies with a Lean business strategy. This starting course covers the following topics: Strategies and principles for Lean production Stable processes and standardized working methods Design of value streams Pulling and pushing production systems Quality philosophy and quality methodology Teamwork, commitment and participation Management system with PDCA methodology Business collaboration along value flows Transformation to a Lean corporate culture Course structure Five two-day meetings consisting of discussion lectures, practical exercises and analyzes of operations in companies that practice Lean methodology. Course literature Jeffrey Liker, The Toyota Way, Liber, 2009 Modig & Åhlström, This is Lean Petersson et al., Lean turns deviations into success, 2009 Target group People within organizations considering and Lean business strategy. See all courses that KTH Leancentrum offers
About the courseRenewable hydrogen stands out as a highly promising solution to decarbonize heavy industries and transportation sector, helping to achieve the climate goals of Sweden- reaching net zero emissions by 2045. The terms renewable hydrogen, clean hydrogen or green hydrogen refers to hydrogen produced from renewable energy or raw material. The utilization of renewable hydrogen for industrial applications necessitates the development of the entire value chain, from generation and storage to transport and final applications. Unlocking the potential of hydrogen economy in Sweden involves not only technological advancements and infrastructure development but also a skilled workforce. This course offers an introduction of renewable hydrogen as a pivotal component for industrial applications, focusing on its generation, storage, transport, and utilization within industrial contexts. Participants will gain a comprehensive understanding of the technical, economic, and environmental aspects of renewable hydrogen technologies, such as electrolysis, fuel cell, and hydrogen storage and distribution solutions, preparing them with essential knowledge and foundational insights for advancing the decarbonization of industrial processes through the adoption of hydrogen-based energy solutions. Aim and Learning OutcomesThe goal of this course is to develop a basic understanding of renewable hydrogen as a pivotal component for industrial applications, focusing on its generation, storage, transport, and utilization within industrial contexts.The learning outcomes of the course are to be able to: Explain the fundamental knowledge and theories behind electrolysis and fuel cell technologies. Compare and describe the differences of existing renewable hydrogen generation technologies (PEM, AE, AEM, SOE, etc.), and existing fuel cell technologies (PEMFC, MSFC, SOFC, etc.. Describe the principles of hydrogen storage, including gas phase, liquid phase, and material-based storage and thermal management of storage systems. Identify the challenges of hydrogen transportation and be able to describe relevant solutions. Examples of professional roles that will benefit from this course are energy and chemical engineers, renewable and energy transition specialists, policy makers and energy analysts. This course will also support the decarbonization of hard-to-abate industries, such as metallurgical industry and oil refinery industry, by using renewable hydrogen. This course is given by Mälardalen university in cooperation with Luleå University of Technology. Scheduled online seminars April 22nd, 2025May 19th, 2025 Study effort: 80 hours
Business models that efficiently contribute to reduction of material use and waste are key to successful transition towards sustainability. This course has a particular focus on the interplay between business models, product innovation and production processes. Through this course, you will explore the critical relationship between sustainable practices and business strategies, preparing you to contribute meaningfully to the circular economy and sustainable development initiatives In this course, you will be introduced to systematic working methods for business development in practical contexts, with a specific focus on innovation and creativity. The goal of the course is to provide a deep understanding of the application of various business model practices in different types of development work. The objective is for course participants to enhance their ability to understand and apply business development processes in the manufacturing industry and gain deeper insights into how these processes relate to organizations' innovation and business strategies in order to achieve circular flows, resilience, and sustainability. The teaching consists of self-study using course literature, films, and other materials through an internet-based course platform, as well as scheduled webinars and written reflections. There are no physical meetings; only digital online seminars are included. Study hours 40 hours distributed from week 3, 2025 to week 8, 2025. Webinar 1: January 13thWebinar 2: January 20thWebinar 3: February 3rdWebinar 4: February 17th Target GroupThis course is primarily intended for engineers in management or middle management positions within industry, whether they are recent graduates or individuals with extensive experience. The course is suitable for individuals with backgrounds in mechanical engineering, industrial engineering management, or similar educational background. Entry RequirementsTo be eligible for this course, participants must have completed courses equivalent to at least 120 credits, with a minimum of 90 entry Requirement credits in a technical subject area, with at least a passing grade, or equivalent knowledge. Proficiency in English is also required, equivalent to English Level 6. Educational package in circular economyThe course Product/production and business development for circular flows is an introduction of the educational package starting again spring 2024 and will also run spring 2026. This course: Business development for circular flow together with Product development for circular flows (starting March 3) and Production for cirkular flows (starting April 28) are free standing independent courses that build on knowledge in the field.
The course High-performance Computer Vision in the Cloud provides participants with the necessary tools and skills to navigate large-scale computing infrastructures, emphasizing scalability and performance optimization. Large computing infrastructures can be the key to driving the industry’s green transition. The course recognizes the instrumental role of large computing infrastructures in facilitating a green industry transition, enabling industrial actors to reduce environmental impact and optimize resource utilization, aiming to minimize energy consumption. The course covers concepts such as enabling technologies (e.g., CUDA), distributed computing, multi-core architectures, hardware versus software acceleration, container solutions(e.g., Docker and Kubernetes), as well as metrics and tools for monitoring performance and memory management, providing participants with a comprehensive skill set to lead environmentally responsible solutions in the digital era. Scheduled online seminars January 27th, 14:00-15:30 February 7th, 14:00-15:30 February 17th, 14:00-15:30 February 28th, 14:00-16:00 Entry requirements At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School.