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Agile and Lean Development of Software-Intensive Products

The course aims to provide an understanding of the application of software development in an environment based on the philosophy of lean and agile working methods. It includes an understanding of industry-relevant technologies to promote the development of software products as well as an understanding that value is of the utmost importance within businesses and organizations. The focus of the course is thus on creating a better understanding of the relationship between values and the influence of principles on businesses and organizations to achieve the best application of agile working methods and Lean as a philosophy.    

Ambient Air Quality Management

In this course, you will learn about common air pollutants and how to manage and control air pollution. The course gives you enhanced knowledge about relevant aspects of modern air quality management systems based on regulations and policies related to ambient air quality management in the EU and Sweden.

Applied Cloud Computing and Big Data

The mobile and connected world of today generates a large amount of data that needs to be managed, analysed, and linked. This is often done on the cloud. The development, deployment, and management of this is called Cloud Computing. The purpose of this course is to offer a wide background about designing, developing, deploying, testing, and monitoring a cloud solution, specifically with a focus on big data problems.

Applied Internet of Things

Maybe you want to connect monitoring to a truck, or why not build a connected pump control? Do you want to measure temperatures, pressures or vibrations? Do you want knowledge about how to connect one of your existing products? Then this course is for you. Do you work as an engineer in the industry and want to learn how to develop an idea with IoT? Do you work as a developer at an IT company and want to learn more about the hardware and the entire infrastructure within IoT? The course is primarily aimed at those who are professionals in the engineering profession, but you do not need to be either a programmer or an electronics engineer to take advantage of the course. The content is adapted so that you can work with your specific ideas. The course is focused on providing both theoretical and practical knowledge in the field of Internet of Things. You will gain knowledge of the area's applications and definitions, and you will learn how to build an IoT device, all the way from hardware to visualization. You will have the opportunity to practically work with hardware, sensors, as well as infrastructure and security. We will work with, among other things, WiFi, BLE, LoRaWAN, SigFox, NB-IoT / LTE-M1, as well as insight into how data is transported throughout from the device to the database and then to the application. The course will be held mostly at a distance with a couple of scheduled workshops (13/9, 6/10, 27/10) either on site or online. All lectures will be available online. The course will be delivered in a flexible way to facilitate the combination of coursework with your ongoing professional commitments. You will need to buy IoT hardware before the start of the course, the cost can be different depending on the type of project, guide value is approx: SEK 1,000. The total scope of the course is normally about 80 hours.Language of instruction: EnglishThe course is free of charge

Applied Spectral Imaging in Environmental Engineering

Are you interested in learning more about the untapped potential of spectral imaging applied to environmental systems? If so, join this course and learn how spectral imaging can be used for control and optimization of environmental technology and come up with novel application ideas that can benefit society.

Applied Statistics in Engineering

Statistics is vital in every field and in this course, you will learn the role it can play in the field of sustainable development. You will learn certain statistical tools, how to apply them, and ways of thinking about results that will aid you in your studies and future career.

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.

Business Intelligence - Data-Driven Organisations A1N

To be translated Att bli en datadriven organisation är en vision för många organisationer. I litteraturen finns det flera exempel på att datadrivna organisationer är mer framgångsrika än organisationer som mestadels fattar beslut på magkänsla. Den här kursen tar upp vad som menas med datadrivna organisationer och hur det relaterar till Business Intelligence. Kursen har även ett praktiskt moment där deltagarna refleketerar över vilka hinder och möjligheter det finns i den egna verksamheten med att bli datadriven. Lär dig förstå vad datadrivna organisationer ärKursen består av en teoretisk del och en praktisk del. Den teoretiska delen innehåller en introduktion till området datadrivna organisationer och relationer till Business Intelligence. I den praktiska delen av kursen undersöks vilka hinder och möjligheter det finns i den egna verksamheten med att bli datadriven. Vem är kursen för?Kursen riktar sig till personer ute i yrkeslivet, som är intresserade av att lära sig mer om vad som menas med datadrivna organisationer. Efter avslutad kurs kan du:Redogöra för vad som menas med datadrivna organisationer och relationer till området Business Intelligence.Reflektera över vilka hinder och möjligheter det finns i den egna verksamheten med att bli datadriven. Kurskod, ansökningskod, plats, takt, kursspråkIT748A, HS-26365, Flexibel, 10%, Undervisningen ges på svenska (viss undervisning på engelska kan förekomma) Ämne, utbildningsområdeInformationsteknologi, teknik Ansökan, behörighet och antagning till virtuella fabrikenOm du arbetar inom industrin, men saknar akademiska meriter, kan du ansöka om att bli bedömd på så kallad reell kompetens. Läs mer på den här sidan his.se/ansokindustrikurser Mer information om kursen samt länk till ansökan hittar du på Högskolan i Skövdes kurssida.

Business Intelligence - overview G1N

To be translated Många organisationer använder Business Intelligence-lösningar för att bearbeta och analysera både intern och extern data, för att kunna utveckla sin verksamhet. Syftet med denna kurs är att ge en översikt om vad som menas med Business Intelligence och hur det kan användas i en organisation. Kursen utgår ifrån en bred definition av Business Intelligence (BI), och hur olika typer av BI-lösningar kan användas för att skapa mervärde i organisationer. Kursen tar upp exempel på BI-lösningar och vilka etiska frågeställningar som kan uppstå. Efter avslutad kurs ska studenten kunna:• redogöra för grundläggande begrepp, metoder och tekniker inom Business Intelligence,• förklara och exemplifiera hur olika typer av beslutstöd kan användas i organisationer, samt• redogöra för etiska frågeställningar som kan uppstå i samband med en Business Intelligencelösning. Kurskod, ansökningskod, plats, takt och undervisningsspråkIT132G, HS-21658, Flexibel, Distans, 15%,  Ämne, utbildningsområdeInformationsteknologi, teknik Ansökan, behörighet och antagningOm du arbetar inom industrin, men saknar akademiska meriter, kan du ansöka om att bli bedömd på så kallad reell kompetens. Läs mer på den här sidan his.se/ansokindustrikurser Mer information om kursen samt länk till ansökan hittar du på Högskolan i Skövdes kurssida.

CAM: Introduction to Computer-Aided Manufacturing G1N

The course will provide lectures to introduce the basic knowledge of metal cutting process, NC technology and its applications in manufacturing devices (e.g. NC machine tools), the basic knowledge of NC programs based on ISO 6983 standard, the methodology of process planning, and their implementations in computeraided manufacturing environment. The tutorials will be provided to practice process planning and NC programming with a Computer Aided Manufacturing (CAM) program for a given part which is expressed by 3D model with PMI. Results and findings will be reported and reflected upon in a technical report following a given template which is an analogous file for shop floor communication purpose. After completed course the student should be able to:• describe the basics of metal cutting process,• describe the working principles of numerical control (NC) machine tools,• program NC codes based on the ISO 6983 standard,• analyze part 3D models with Product and Manufacturing Information (PMI) and interpret its implication for machining by applying the knowledge of process planning,• create a process plan for a given part using a CAM program,• document the process planning results as shop floor communication files. Course code, application code, location, pace and languageMT131G, HS-21742, flexibel distance, 25%, teaching in English. Subject, Disciplinary DomainMechanical Engineering, Technology Application, eligibility and admissionIf you work in industry, but lack academic qualifications, you can apply to be assessed on so-called real competence. Read more on this page his.se/ansokindustrikurser More information about the course and a link to the application can be found at the University of Skövde's course page.

Circular Economy in Context of 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.