COURSE DESCRIPTION
An introduction to the challenges that both public leadership and governance face in an increasingly digital and globalized world. The content is based on theories and models with global applicability, and uses examples on how Swedish public leadership and governance have met real crises.
About the course
This course is an accessible introduction to the challenges that both public leadership and governance face in an increasingly digital and globalized world. The content is based on theories and models with global applicability, and uses examples on how Swedish public leadership and governance have met real crises such as climate change, COVID-19, migration crisis, ageing population. The course provides an understanding of how public leadership and governance can address digitalization in sustainable ways building on Swedish illustrations.
Topic covered by the course
You will get an comprehensive introduction to the challenges that public leadership and governance structure will face through digitalization process.
Engage with the topic through your own work and reflection and practice on peer-review on a particular topic.
Engage with a selection of relevant and up-to date literature that will be accessible through the course.
Who can take the course?
The course is open to everyone and free. There are no requirements for prior knowledge or special qualifications to participate in the course.
Course structure
The course is web-based and is conducted entirely remotely via a web-based course platform. It is divided into four modules:
Learn more about climate change’s impact on society and how you can lead a wide range of transition processes and practically work with climate transitions within different areas. Ongoing and future climate impacts on different parts of society, the attempts to try to build sustainability within planetary boundaries and interconnected international crises’ have created a unique situation concerning the issues’ urgency, complexity and uncertainty. Within this shifting landscape knowledgeable, creative and brave leaders and citizens are necessary to being able to fundamentally change how businesses, regions, municipalities and different organizations work and achieve results. This online course introduces climate science, climate change’s impact on society, different perspectives on the causes and possible solutions to the climate dilemma, climate justice and international agreements, carbon budgets and different climate scenarios, leadership within different contexts on different levels, key areas for successful transitions and different good examples of climate transitions, the individual’s and the collective’s possibilities and responsibilities, and concrete first steps towards transitions work within your work and local context.
What can we do to address the sustainability challenges we face? In this course, you will gain insight into how individuals, organisations and societies approach sustainability challenges in different ways. In various parts of the world different challenges are prioritized and thereby, various approaches and solutions are needed. You will learn about the considerations needed to make decisions of how to prioritize sustainable development. You will also be introduced to different strategies for changing values, attitudes and behaviours. The course introduces enforcements that are applied to influence individuals within companies and in the society at large, including different incentives and instruments to ensure more sustainable behaviours. This course is relevant to professionals working in industry, policymakers, or students in engineering. What you'll learn Identify and prioritize solutions based on different perspectives About how the values, attitudes and behaviours for sustainable development are connected About different environmental management tools How to implement organizational learning, incentives and instruments to change behaviours for sustainable development Concepts used in the current sustainability debate See all free online courses that KTH offers
This course emphasizes that systems-based changes are needed to achieve a sustainable world. In the past, dominant theories of change have neglected these complex conditions. In part, it includes the belief that change can be managed, planned, and controlled. This course suggests more contemporary theories where you are more inclusive, being many stakeholders and use fluid ways of creating change. Similar compositions of ideas have been tested in the honours track Change Maker Future Track at LU School of Economics and Management. At the end of the course, the participants will have a better chance of: a. Understanding of the systemic nature of sustainability b. Understanding of systems theory, and the concepts of complexity and wicked problems c. Understanding of systems innovation and change d. Having an overview of some tools for describing and analysing complex problems and contexts e. Having an overview of contemporary theories of change f. Having an in-depth understanding of the concept of Catalytic Leadership and Change
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.
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.
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