Chalmers University of Technology is a Swedish university located in Gothenburg that focuses on research and education in technology, natural science, architecture, maritime and other management areas.
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
Logistics and supply chain structures can be found in virtually any system. In this business and management course you will learn not only what makes leading systems competitive but also how to design, or redesign, your own system.The MOOC is based on a widely popular university course that will give you a working knowledge on supply chain strategy and design that can be applied in your organisation.Course topics include:How to increase ROI (Return on Investment) using logisticsLogistics trade-offs (service vs cost vs capital)The SCOR model for analysis of supply chainsSustainability in supply chains (the triple bottom line)The Bullwhip effect and how to beat itStrategies regarding: SourcingWarehousingProduct rangeProductionDistributionTransportationEtc.Concepts like: Quick Response - QREfficient Consumer Response, ECRCollaborative Planning, Forecasting and Replenishment, CPFRMany of the topics in the course will be illustrated using real companies and real logistics professionals as logistics is not a theoretical subject – it exists all around us – everywhere.By the end of this course, you will be able to better describe, understand and ultimately design your own system for your organisation based on existing knowledge in this exciting field.Regardless of your industry or organisation type, the concepts and methods from this course will help you become a logistics and supply chain professional. You will never look at a hotel breakfast buffet, a loading bay, a warehouse, a factory, an emergency room or even at a fast food restaurant the same way again…
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
In this course, we will take you on a virtual journey covering different Earth observation tools. In the course modules, we cover the most crucial measurement tools for solid Earth, the atmosphere, and the biosphere. Our experts will give you first-hand insights why, where, and how those techniques are applied and they will show you how sensors work in space, on aircrafts, and on the ground.You will be given insights on how you can use data from various sensors to better understand our living planet and how it changes. Together with your fellow learners all over the world, you will conduct joined experiments that demonstrate, how easy it is to sense the Earth’s environment. On top of that, world-renowned experts will be interviewed - telling you why they think it is so important that we study our planet.Join us and let’s sense planet Earth together!
Global warming. Rising sea levels. Droughts. Flooding. The melting of the polar ice caps.Join us, when we discover how continental water and ice masses are measured and monitored through remote sensing. Our experts give you first-hand insights how water and mass transport can be traced, and how this relates to the complex processes in the Earth‘s system.Together with your fellow learners you will assess and evaluate statements made in relation to climate change. This will prepare you to make evidence-based decisions for a sustainable future.Join us and let’s sense planet Earth together!
Electric powertrains are estimated to propel a large part of road vehicles in the future, due to their high efficiency and zero tailpipe emissions. But, the cost and weight of batteries and the time to charge them are arguments for the conventional powertrain in many vehicles. This makes it important for engineers working with vehicles to understand how both these powertrains work, and how to determine their performance and energy consumption for different type of vehicles and different ways of driving vehicles. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about electric powertrains. In this course, you will learn how electric and conventional combustion engine powertrains are built and how they work. You will learn methods to calculate their performance and energy consumption and how to simulate them in different driving cycles. You will also learn about the basic function, the main limits and the losses of: Combustion engines,TransmissionsElectric machines,Power electronicsBatteries.This knowledge will also be a base for understanding and analysing different types of hybrid vehicles, discussed in the course, Hybrid Vehicles.As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: "Sensor fusion and nonlinear filtering for automotive systems". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
Daily headlines warn of new chemical dangers, species on the edge of extinction, global warming-- framing our planet as “at risk.”Some people stop listening, others get alarmed, while some others want to learn more in hopes of making a difference in the world. Do you want to live a more sustainable life? In this environmental studies course, you will learn how to make more informed choices about your ecological footprint and gain a better understanding of how your choices impact on our world.This course is organized into five key themes: chemicals, globalization, climate change, food and energy. These five themes represent challenges that people face day-to-day managing choices relating to sustainability.In the final task of this course, you will demonstrate how you have acquired the skills and knowledge to organize your everyday life sustainably.
Logistics and supply chain structures can be found in virtually any system. A supply chain is a complex environment with a multitude of forces and variables with various degrees of dependence. Unforeseen events are frequent and in order to achieve a competitive supply chain, constant supervision is needed.In this business and management course, you will learn methods that are used to master control of supply chains, including how to forecast demand, how to determine the best order quantity for procurement, how to plan capacity and production and much more."Many of the topics in the course will be illustrated using real companies and real logistics professionals as logistics is not a theoretical subject – it exists all around us – everywhere.This MOOC is based on a widely popular university course that will give you a working knowledge on supply chain operations that can be applied in your organisation. By the end of this course, you will be able to better control and master your organisation’s system.Regardless of your industry or organisation type, the concepts and methods from this course will help you become a logistics and supply chain professional. You will never look at a hotel breakfast buffet, a loading bay, a warehouse, a factory, an emergency room or even at a fast food restaurant the same way again…
Graphene is the world's first 2-dimensional material and is the thinnest, strongest, and most flexible material known to exist. Graphene, a special form of carbon,,can conduct electricity and heat better than anything else. In this electronics course, we will introduce you to the exciting world of graphene science and technology. You will learn about the fundamentals of graphene and how this material offers new insights into nanotechnology and quantum physics. You will also learn about emerging practical applications for graphene. Topics covered include material properties, electronics, physics, physical chemistry, synthesis and device fabrication and application.Graphene offers a wealth of potential future applications; in composites, solar cells, sensors, superchargers, etc. The list is endless. This course takes a closer look at the particular potential graphene offers within electronics, e.g. optoelectronic devices using graphene produced via chemical vapor deposition (CVD), an industrially compatible technique.This course content was developed at Chalmers University of Technology who is the coordinator of the Graphene Flagship, EUs biggest research initiative ever. At the Chalmers Graphene Centre research and industry cooperate in the field to achieve interplay and synergies.In order to benefit fully from this course you should have an adequate knowledge of general physics and university level mathematics.