Berör några av de grundläggande koncepten och teorierna kring strategisk teknologihantering och granskar viktiga strategiska beslut i centrum av teknik- och innovationshantering utifrån företagets konkurrenssituation. Dessa kan till exempel beröra valet av teknologi, disruptiva innovationer, tidpunkten för teknikutvecklingsinitiativ, implementeringsstrategier, modulär design, skapande av strategiska partnerskap eller anpassning till snabb teknisk förändring.
The course addresses the concept of circular economy, its use and limitations in the field of environmental engineering, methods for the assessment of resource efficiency, sustainability and environmental impact and practical examples related to waste management.
In this course you will learn about the most common air pollutants and their emission. You will learn how to monitor, assess and model the distribution of air pollution, and how to control emissions from motor vehicles and stationary sources.
The purpose of the course is to increase your knowledge in the field of applied statistics. The course will illustrate how to reach statistically justified conclusions based on common statistical methods, such as statistical inference, analysis of variance, correlation and regression.
The course will provide opportunities to become familiar with the concepts of understanding statistics and challenging assumptions. During the course we will discuss the role of statistics in engineering and science, statistical thinking and management of large data sets.
This course, Digitally-enabled production, is offered in a collaboration between Mälardalens högskola (MDH), Högskolan Väst (HV) and Linnéuniversitetet (LNU).
The course aims to support and facilitate our partner manufacturing companies to become competitive in digitally-enabled production. During the course, we address the potential prerequisites and capabilities required for implementing industry 4.0 in the context of an overall production system. More specifically, we increase the competence base of companies in three areas—internal logistics systems, virtual factory, and sensor and signal processing—which can holistically interconnect the key components for the successful implementation of industry 4.0.
This course consists of three interconnected course modules at an advanced level and it is offered between September and November 2020:
Internal Logistics in Industry 4.0, 2.5 credits, MDH, https://www.mdh.se/en/malardalen-university/education/course-syllabus?id=29594
Virtual Factory and Robot Cell Simulation, 2.5 credits, HV, https://admin.hv.se/samverka-med-oss/kompetensutveckling/teknik/kompetensutveckling-inom-produktionsteknik/virtual-factory-and-robot-cell-simulation/
Data Acquisition and Monitoring, 2.5 credits, LNU, https://kursplan.lnu.se/kursplaner/kursplan-4MT017-1.pdf
More information about the course is available on the below link:
Apply to the course in the below link:
Örebro University is offering an introduction course in artificial intelligence. The course will address the basic concepts within classical artificial intelligence (other than machine learning). Traditional artificial intelligence is characterized by the so-called declarative approach to problem solving. The course deals with a selection of different intelligent problem-solving methods, both in theory and practice.
After completing the course, the student will be able to model and use appropriate generic solution algorithms to solve problems in an intelligent system. The course is part of the education initiative Smarter at Örebro University.
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.