INTELLIGENT ASSET MANAGEMENT AND INDUSTRIAL AI

The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Smart Healthcare with Applications, 4 credits Who is this course for?The course suits you with any Bachelor’s degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) who have an interest in applying Artificial Intelligence (specifically Machine Learning) to healthcare. Leadership/management experience in health-related organization/industry OR a Bachelor degree in computer science is advantageous. What will you learn from this course?Healthcare as a sector together with other health-related sources of data (municipalities, home sensors, etc.), is now in a place and can take advantage of what data science, Artificial Intelligence (AI), and machine learning (ML) have to offer. Information-driven care has the potential to build smart solutions based on the collected health data in order to achieve a holistic fact-based picture of healthcare, from an individual to system perspective. This course aims to provide a general introduction to information-driven care, challenges, applications, and opportunities. Students will get introduced to artificial intelligence and machine learning in specific, as well as some use cases of information-driven care, and gain practice on how a real-world evidence project within information-driven care is investigated. What is the format for this course?Instruction type: The lectures, announcements, and assignments of this course will be fully online via a learning management system and presented in English. Each lecture is delivered through a video conference tool with a set of presentation slides displayed online during each class session. Online practical labs (pre-written Python notebooks) are also provided in the lectures.

The aim of this course is that students will learn about the analysis, design, and programming of deep learning algorithms. The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Applied Deep Learning with PyTorch, 5 credits Who is this course for?This course provides the theoretical and practical aspects of deep neural networks. It is intended for students with a background in computer science and engineering. What will you learn from this course?Students will learn about the analysis, design, and programming of deep learning algorithms. The course has two modules: theory and practice. The theoretical content covers basic principles of multi-layer perceptions, spatio-temporal feature extraction with convolutional neural networks (CNNs), and recurrent neural networks (RNNs), classification and regression of big data, and generating novel data samples using generative models. The practical sessions cover the basics of programming with PyTorch. For instance, image classification and semantic segmentation using CNNs, future image frame prediction with RNNs, and image generation with generative adversarial networks. What is the format for this course?Instruction type: Teaching is in English and fully online. It consists of lectures, computer exercises, and project work. In the computer exercises, the student solves small problems using deep learning models. After programming various exercises, the participants will develop an advanced deep learning project. Participants will be encouraged to bring their own data. High-end GPU machines can be provided for the exercises and project.

The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Critical design and practical ethics for AI, 3 credits Who is this course for? Artificial Intelligence (AI) is being increasingly implemented and used in society today. It has already proven to have an impact on the individual, organization and society, and this impact will most likely only increase. Therefore, it is important to understand the ethical issues that may arise from use of AI, as well as to adopt a critical stance to the technology’s impact. The course introduces critical and ethical issues surrounding data and society, to train the student to problematize and reason about artificial intelligence (AI). You are most likely a designer, innovator, or product manager that works with digital services and products. What will you learn from this course? The course deals with different perspectives on AI and its real and potential effect on organizations and society. The course is based on five different perspectives on AI: accountability, surveillance capitalism, power and bias, sustainability, and trust. The course material consists of recent and relevant literature on the impact of, and critical perspectives on AI. Active discussions founded in different ethical perspectives are also an important part of the course. What is the format of this course? This course is primarily self-paced, with a few synchronous meetings. Most activities are based on the student’s having consumed specified material beforehand, such as video lectures, podcasts, articles, and books. Active discussions, both in online forums and during synchronous meetings, are an important part of the course.

The course on Large Language Models for Industry is designed to cater to the demands of industries amidst the global push for sustainability and green transitions. Large Language Models (LLMs) represent a pivotal technology thatcan revolutionize how industries operate, communicate, and innovate. In this course, participants explore the intricate mechanics and practical applications of LLMs within industry contexts. The course covers the principles and technologies spanning from traditional Natural Language Processing (NLP) to Natural Language Understanding (NLU), enabled through the development of LLMs. Emphasizing industry-specific challenges and opportunities, participants learn to utilize LLMs while considering sustainability concerns. Participants gain valuable insights from adapting LLMs to tackle real-world problems through examples and exercises tailored to industry needs. By the course completion,participants are equipped to leverage LLMs as transformative tools for driving industry innovation and, at the same time, advancing sustainability goals. Scheduled online seminars November 14th 2024, 15:00 - 17:00 December 12th 2024, 15:00 - 17:00 January 9th 2025, 14:00 - 17:00 Entry requirements At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School.

Business models that efficiently contribute to reduction of material use and waste are key to successful transition towards sustainability. This course has a particular focus on the interplay between business models, product innovation and production processes. Through this course, you will explore the critical relationship between sustainable practices and business strategies, preparing you to contribute meaningfully to the circular economy and sustainable development initiatives. In this course, you will be introduced to systematic working methods for business development in practical contexts, with a specific focus on innovation and creativity. The goal of the course is to provide a deep understanding of the application of various business model practices in different types of development work. The objective is for course participants to enhance their ability to understand and apply business development processes in the manufacturing industry, and gain deeper insights into how these processes relate to organizations' innovation and business strategies in order to achieve circular flows, resilience, and sustainability. The teaching consists of self-study using course literature, films, and other materials through an internet-based course platform, as well as scheduled webinars and written reflections. There are no physical meetings; only digital online seminars are incuded. Study hours 40 hours distributed from week x, 2025 to week x, 2025. Webinar 1: Webinar 2: Webinar 3:  The first webinar is Januray x, but the course opens on January x, which means that you by then reach the course material and can start your training. Target GroupThis course is primarily intended for engineers in management or middle management positions within industry, whether they are recent graduates or individuals with extensive experience. The course is suitable for individuals with backgrounds in mechanical engineering, industrial engineering management, or similar educational background. Entry RequirementsTo be eligible for this course, participants must have completed courses equivalent to at least 120 credits, with a minimum of 90 entry Requirement credits in a technical subject area, with at least a passing grade, or equivalent knowledge. Proficiency in English is also required, equivalent to English Level 6. Educational package in circular economyThe course Product/production and business development for circular flows is an introduction of the educational package starting again spring 2024. This course Business development for circular flow together with Product development for circular flows and Production for cirkular flows are free standing independent courses that build on knowledge in the field.

Kundupplevelser och att skapa värde för kunden är en viktig framgångsfaktor för företag och organisationer. I den här kursen lär du dig hur du skapar tjänster och upplevelser som möter kundens behov med hjälp av olika metoder och modeller inom tjänstedesign. FÖR VEM?För verksamma inom näringslivet som arbetar med tjänstedesign eller tjänsteutveckling och som vill öka sin förståelse för hur man kan använda användarcentrerade metoder för att utveckla bättre tjänster. Även för verksamma inom offentlig sektor som vill förbättra användarupplevelsen av sina tjänster. VERKTYG FÖR ATT UTVECKLA BÄTTRE TJÄNSTER OCH SKAPA VÄRDE FÖR KUNDI denna kurs får du fördjupa dig i olika tjänstedesignmetoder och hur de kan tillämpas i olika sammanhang och områden. Fokus är på att identifiera och förstå kundens behov och och genom casebaserat lärande kommer du lära dig att analysera och skapa insikter från behovsmönster och utveckla lösningar som utgår från kundernas behov. Du får också kunskap om utmaningar kopplade till implementering av tjänster och tjänsteerbjudande, inklusive kvalitetsparametrar samt samordning och samspel mellan olika tjänsteleverantörer. DU KOMMER ATT FÅKunskap om tjänstedesign och olika metoder och modeller samt hur dessa kan användas för att skapa tjänster och upplevelser som möter kundernas behov.Verktyg för att identifiera, både uppenbara och dolda, kundbehov samt lära dig hur du kan använda detta underlag för att utveckla konkreta tjänsteerbjudanden.Lära dig hur man kan implementera kvalitetsparametrar och samordning mellan olika tjänsteleverantörer för att skapa en sömlös kundupplevelse. GENOMFÖRANDE Kursen förutsätter självständigt arbete, kontinuerlig textinläsning samt aktivt och reflekterande deltagande på seminarier. En central del i kursen är att deltagarna reflekterar kring tillämpning av begrepp, teorier, modeller och metoder på sina egna organisationer samt delar och diskuterar utmaningar och erfarenheter med varandra. Undervisningen sker på svenska och engelska och genomförs på distans via Canvas som är Karlstads universitets lärplattform. Kursen är på avancerad nivå och ger 5 högskolepoäng. Kursens mål examineras genom skriftliga och muntliga uppgifter som diskuteras och presenteras på obligatoriska seminarier. KURSLEDAREMikael Johnson, forskare och lektor i företagsekonomi vid Centrum för tjänsteforskning (CTF) och Handelshögskolan vid Karlstads universitet. BEHÖRIGHETSKRAV90 hp varav lägst 30 hp på G2F-nivå eller högre inom samhälls-, beteende- eller naturvetenskap samt minst 2 års arbetslivserfarenhet inom för kursen relevant yrkesverksamhet. Gymnasiets engelska 6. Motsvarandebedömning kan göras. STUDIEPERIOD Kursen ges under hösten 2023 och våren 2024. Besök kursens webbplats för mer information: https://www.kau.se/ctf/ise/tjanstedesign-kundbehov-metoder-och-implementering