AUTOMATED TEST GENERATION

This course deals with model-based testing, a class of technologies shown to be effective and efficient in assessing the quality and correctness of large software systems. Throughout the course the participants will learn how to design and use model-based testing tools, how to create realistic models and how to use these models to automate the testing process in their organisation.

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.

The information and communication technology (ICT) sector is responsible for approx. 1.8-2.8% of the global greenhouse gas (GHG) emissions in 2020, and software is both part of the problems and the solutions. Traditional software engineering principles and techniques do not consider the climate, environment, and sustainability aspects in building and using software for any purpose. We, software engineers, developers, researchers, climate scientists, and various other related stakeholders, need to think about how we can reduce the carbon footprint due to building and using software-intensive systems. Green and sustainable software engineering is an emerging concept that can help reduce the carbon footprint related to software. In this introductory course, we will introduce the concept of green and sustainable software engineering and the engineering process to build green and sustainable software. Topics Sustainable and green computing Sustainable and green software engineering Process Energy efficient computing Sustainability issues in Scientific computing You will learnBy the end of the course, you will be able to: analyze the green and sustainability issues in traditional software engineering, identify and incorporate key elements to be included in the software engineering process to make the software green and sustainable, and use techniques to make your software code energy efficient. Who is the course for?This course is designed for those who are software developers, managers and software related policy makers, or have knowledge about software development, and want to consider the green and sustainability aspects in their everyday life. Also, this course will be useful for computational scientists who build green software and want to know more about these aspects in software engineering. However, this is an introductory course, and it will show a path for life-long learning to build more in-depth knowledge in each concept introduced in this course.

In this course, you will learn how data analysis in virtual production can improve your organization's results! Data analytics in virtual production uses advanced techniques to collect, analyze and present data to improve production. This system is designed to help companies optimize their production and increase efficiency. By learning how to model, do scenario analysis and evaluate using industrial software, identify bottlenecks, and use AI methods and applications, s necessary to succeed with a full production analysis. The course is given with flexible start and study pace, but we recommend a study pace of 20 %, which means that the course takes about 8 calendar weeks.

Learn how to improve industrial processes with modelling methods! Modeling is used to create a virtual representation of a real product. With the help of the model, you can study how the product works, test different options and evaluate the product before it is produced in reality. In this course, you gain knowledge on how to design and implement simulation models in the work of analyzing and improving production systems. You will learn how to plan and perform improvement studies, as well as apply the modeling process within the manufacturing industry. The course is given with flexible start and study pace, but we recommend a study pace of 20%, which means that the course takes about 8 calendar weeks.

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.