learning for professionals

Browse all courses

28 RESULTS

ADDITIV TILLVERKNING – PRODUKT- OCH TILLVERKNINGSASPEKTER

Kursen lyfter fram hur konstruktiva utformningar av produkter för att dessa skall kunna tillverkas med additiva metoder. Vidare innehåller kursen programmering av processparametrar och hur dessa påverkar metallurgi och hållfasthet hos de tillverkade objekten. Dessutom fokuseras olika metoder för inspektion och validering, samt kostnadskalkylering utifrån ett globalt perspektiv inkluderande miljö- och hållbarhetsaspekter.

Ambient Air Quality 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.

Applied spectroscopy for future energy and environmental systems

The important part of the course will be focused on addressing real industrial and environmental challenges by employing state-of-the-art spectroscopic material characterization methods for process monitoring, control and optimization.

Applied Statistics in Engineering

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.

Automated Test Generation

In contrast to learning how to do manual testing, in this course you will learn how to generate tests automatically in the sense that test creation satisfying a given test goal or given requirement is performed automatically. This course provides an understanding of automating software testing using program analysis with the goal of intelligently and algorithmically creating tests. The course covers search-based test generation, combinatorial and random testing while highlighting the challenges associated with the use of automatic test generation.

Big Data and Cloud Computing for Industrial Applications

The manufacturing industry collects increasingly large volumes of big data, that is, data at high speed, generated from a wide range of sources in different formats and quality levels. But what is data without insight? This course will help you master the fundamental concepts of big data, cloud computing and smart decision-making for industrial analytics. Designed specifically for manufacturing sector professionals, this Master’s course provides knowledge and insights in handling and processing data, using machine learning and data analytics in the cloud environment. You will learn machine learning-based solutions for industrial applications, such as smart decision-making and predictive maintenance, using state of the art cloud platform tools.

Circular economy and environmental engineering

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.

Digitally-enabled Production 7.5 hp

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: https://www.mdh.se/en/malardalen-university/education/further-training/smart-production/digitally-enabled-production-7.5-hp Apply to the course in the below link:  https://www.mdh.se/en/malardalen-university/education/further-training/smart-production/digitally-enabled-production-7.5-hp/application-form-digitally-enabeled-production-7.5-hp

Industrial maintenance development

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.  

Industrialization and Time-to-volume

You will acquire knowledge about planning and implementing industrialization activities for achieving a faster time-to-market and time-to-volume with higher quality. During the course you will work on one of your company’s industrialization challenges as a “project case” and analyse ways to tackle them in an efficient way.

INDUSTRINS DIGITALISERING - TEKNOLOGIHANTERING

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.

INDUSTRINS DIGITALISERING - VIRTUELLA FABRIKEN

Kursen fokuseras på grundläggande metodik för den virtuella fabriken inom konceptet industrins digitalisering.  Koncepteten virtuella fabriker, fabriksskanning och AR/VR (Augmented och Virtual Reality) kopplat mot industrins digitalisering tas upp i kursen och diskuteras. Andra moment som diskuteras är databassystem kopplade mot simuleringsprogramvara samt autonoma robotceller.