DJURVäLFäRD OCH HåLLBARHET

This is a course for professionals and PhD students seeking a wider understanding of our current global predicaments, how to make sense of them, and how to respond. The first module introduces the Anthropocene, The Great Acceleration, Planetary Boundaries along with causal relationships between energy, technology, economy, values and the human and more-than-human experience. The second module explores how our own cognition, values, norms and emotions guide our responses to the crises of our time, and how we can formulate coherent responses based on our experiences. The third introduces a way of reasoning about the world in terms of interconnected systems instead of independent problems, and explores what such a view means for us. The course is run online with 2h highly interactive seminars connected to each module along with recorded material, readings and exercises.

Miljö, klimat och hälsa Kursen ger en fördjupad förståelse för hur hälsa samspelar med globalisering och miljö- och klimatförändringar, och hur hållbara lösningar kan utvecklas på lokal och global nivå för att möta framtidens utmaningar.   Kursens innehåll Globala processer såsom miljö- och klimatförändringarDe globala hållbarhetsmålen / Agenda 2030HälsokonsekvensanalysKlimatanpassningRamverk inom miljö- och klimatpolitik.  Vidare behandlar kursen specifikt klimatförändringar och deras effekter på hälsa i vårt nordeuropeiska klimatområde. I det sammanhanget behandlas också särskilt utsatta miljöer respektive känsliga patientgrupper och individer. Även värmens effekter vid arbete samt klimatanpassning och förebyggande av väderrelaterade risker för boende och inom hälso- och sjukvård ingår. Larmkedjor, handlingsplaner och beredskapsfrågor inom vård- och omsorg tas upp, och effektiviteten av förebyggande åtgärder inom vård- och omsorg.   Omfattning Kursen är uppdelad i tre delar, med totalt 15 filmade föreläsningar.   Medverkande Christofer Åström (Medicine doktor, Folkhälsa och klinisk medicin, Umeå universitet) Maria Nilsson (Professor, Epidemiologi och global hälsa, Umeå universitet) Chris Ebi (Professor, Center for Health and the Global Environment, University of Washington) Eva-Lotta Glader (Docent, överläkare, Folkhälsa och klinisk medicin, Umeå universitet) Gustav Strandberg (Filosofie doktor, SMHI)

In this course package you will get a basic introduction to the concept of sustainable development. Among other things, we will discuss: The three pillars of sustainability (economic, social and ecological sustainability) Planetary boundaries Resource management  You will also learn about key competences for sustainability such as systems thinking and values thinking, and get an overview of the basic mechanisms of Earth’s climate and climate change. See all free online courses that KTH offers

The course on Large Language Models for Industry is designed to cater to the demands of industries amidst the global push for sustainability and green transitions. Large Language Models (LLMs) represent a pivotal technology thatcan revolutionize how industries operate, communicate, and innovate. In this course, participants explore the intricate mechanics and practical applications of LLMs within industry contexts. The course covers the principles and technologies spanning from traditional Natural Language Processing (NLP) to Natural Language Understanding (NLU), enabled through the development of LLMs. Emphasizing industry-specific challenges and opportunities, participants learn to utilize LLMs while considering sustainability concerns. Participants gain valuable insights from adapting LLMs to tackle real-world problems through examples and exercises tailored to industry needs. By the course completion,participants are equipped to leverage LLMs as transformative tools for driving industry innovation and, at the same time, advancing sustainability goals. Scheduled online seminars November 14th 2024, 15:00 - 17:00 December 12th 2024, 15:00 - 17:00 January 9th 2025, 14:00 - 17:00 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.

In the era of shift towards green transition, industries face unique challenges and generates numerous opportunities. This course, "Intelligent Asset Management and Industrial AI" is designed to equip professionals with the knowledge and tools necessary to support advanced technologies in achieving environmental sustainability. Industries play a major role in contributing to the global economy that is accompanied with a significant share towards environmental degradation. The growing climatic concerns and degradation of natural resources has urged the need to reduce carbon footprints, minimize waste, and optimize resource utilization such that a green transition is achieved. Intelligent Asset Management and Industrial AI are at the forefront of this transformation offering innovative solutions to enhance operational efficiency, reduce environmental impact and support the industry’s commitment to sustainability. Furthermore, the course can help a professional to optimize the usage of resources, look for energy efficient systems, consider environmental changes, develop sustainable solutions, and integrate advanced technologies towards green transition. This is a problem-based course specific to an industrial sector. The problems can be provided by the course supervisor, or the participants can bring their own problems from their work. Common problems include e.g. asset management by balancing cost against performance, identifying, detecting, predicting, and planning for unexpected outages, disruptions or failures, exploring challenges and opportunities with AI and digitisation, monitoring the condition of industrial assets, and achieving sustainability goals. Target groupThe target group includes individuals working in various industries such as railway, mining, transportation, construction, manufacturing, logistics, energy, and other organizations that are or planning to implement asset management systems. This course can be suitable for professionals ranging from asset managers, maintenance and reliability professionals, operation managers, engineers, project managers, and asset management consultants. Online seminarsDecember 10th at 14.00 to 15.00January 14th at 14.00 to 15.00January 31st at 14.00 to 15.00February 13th at 14.00 to 15.00February 28th at 14.00 to 15.00 Entry requirements Bachelor’s degree of at least 180 ECTS or equivalent, which includes courses of at least 60 ECTS in for example one of the following areas: Maintenance Engineering, Mechanical Engineering, Materials Science, Data Science, Computer Engineering, Civil Engineering, Electrical and Electronics Engineering or equivalent. Or professional experience requirements four to five years of experience in relevant industries.

This course is designed for you who wants to learn more about functional safety of battery management systems. The course will also cover other aspects of safety such as fire safety in relation to Rechargeable Energy Storage Systems (RESS) and associated battery management systems. In the course you will be able to develop skills in principles of Battery Management Systems, Functional Safety as well as of other aspects of safety such as Fire Safety, hazard identification, hazard analysis and risk assessment in relation to battery management systems. It also aims to provide a broader understanding of the multifaceted nature of safety. The course takes about 80 hours to complete and you can do it at your own pace. There are two scheduled meetings: One after five weeks to resolve any queries and another at the end of the course for the course evaluation. The date and time will be provided within a week of starting of course. Target GroupThis course is primarily intended for engineers that need to ensure that battery management systems are safe, reliable, and compliant with industry standards. The course is suitable for individuals with backgrounds in for example functional safety, battery systems, automotive or risk assessment. Entry requirements120 university credits of which at least 7.5 credits in software engineering and 7.5 credits in safety-critical systems engineering or 60 university credits in engineering/technology and at least 2 years of full-time professional experience from a relevant area within industry or working life experience regarding application of functional safety standards in the automotive domain or in other domains. The experience could be validated via a recommendation letter of a manager stating the involvement of the student in the development of functional safety artefacts. Proficiency in English is also required, equivalent to English Level 6.