KTH Royal Institute of Technology is Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world dedicated to advancing knowledge. Our educational programmes foster a new generation of engineers, architects, teachers and undergraduate engineers. We focus on research and education for a brighter, more sustainable tomorrow. We assess the impact of our efforts in society and contribute with the intellectual resources of our students and researchers to create new approaches to some of the most critical challenges of our times.
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Improve work environments using RAMP (Risk management Assessment tool for Manual handling Proactively)! In this course, you learn to use all four modules in the RAMP tool to manage musculoskeletal (MSD) risks. This includes, for example, how to present results from risk assessments and how to create action plans for improvement. MSDs are one of the most common reasons for absence from work today. It leads to reduced productivity and quality losses at companies, as well as increased medical costs. This course is part two of a RAMP program. The other courses are Assessment of Work-Related Injury Risks using RAMP I and Proficiency in using RAMP for Risk Management of Work-Related Injuries.
This course is taught in Swedish. Get started with measuring and running a systematic sustainability program! This course is mainly aimed at small and medium-sized enterprises. Using concrete tools such as the Green Performance Map (GPM) and Quality Function Deployment (QFD), you will be supported in identifying relevant sustainability goals and translating them into metrics. The course shows how to integrate sustainability work into daily improvement work, how to create anchoring in the organization, and how psychological security, leadership and culture are key factors for long-term change. You will also gain insight into how metrics affect motivation, behavior and management - and how to balance between controlling and leading metrics.
During this free course, you will learn the basics of AI, machine learning and Neural Networks. You will learn about important concepts such as Gradient Descent, Backpropagation and Activation Functions. Common metrics are presented as well as problems such as overfitting and underfitting. Among other topics, we go in-depth on: What are Neural Networks and how are they trained? How do Neural Networks analyze images and text? How important is data? See all free online courses that KTH offers