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
The aim of this course is to provide participants with the principles behind model-driven development of software systems and the application of such a methodology in practice. Modelling is an effective solution to reduce problem complexity and, as a consequence, to enhance time-to-market and properties of the final product.
Reinforcement Learning (RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. The course is part of the education initiative Smarter at Örebro University.
This is course requires completion of course Reinforcement Learning part 1.
Do you want to deepen your knowledge about maintenance and dependability? Then this course is for you.
The course focuses on the value of dependability in production systems and how maintenance contributes to the achievement of optimal dependability. A well-designed maintenance programme starts with the design of the production system, from the procurement of new equipment, to system service life.
This course is a guide to the cybersecurity issues arising throughout the entire development process. We consider the development from the security perspective from the beginning stage until the final release and beyond. No matter whether you are a developer, engineer, or a top-level manager, this course will benefit you.
You will learn some useful hands-on approaches for trade-off analysis, requirements prioritization methods, risk assessment approaches, and other security aspects at all stages of development.
The course aims to provide an understanding of the application of software development in an environment based on the philosophy of lean and agile working methods. It includes an understanding of industry-relevant technologies to promote the development of software products as well as an understanding that value is of the utmost importance within businesses and organizations. The focus of the course is thus on creating a better understanding of the relationship between values and the influence of principles on businesses and organizations to achieve the best application of agile working methods and Lean as a philosophy.
As AI systems become more common and expand their abilities, the decisions they made have a crucial impact on society as a whole. Whether they are designed to recommend content or product online, to assist judges or physicians in their decision-making, or to decide how to distribute mortgages or video surveillance cameras, these systems can have a crucial and lasting impact on all of us. For this reason, it is of paramount importance that those in charge of designing such systems work toward ethical and responsible systems.
This course covers the theoretical and practical aspects of normative ethics and how they apply to AI systems, discuss how AI systems can become biased, as well as how to prevent and correct possible bias.
Through concrete examples, case studies, and project, this course aims at raising awareness on the problem of ethical AI as well as giving the students practical experience on how to ensure ethical and responsible development of AI systems in their everyday work.
This course is given on-line with three mandatory Zoom-meetings.