Applications 2024-02-15 - 2024-08-09
COURSE DESCRIPTION
Companies and their IT systems are affected by advanced intrusions, various ransomware attacks and or thefts of both sensitive and secret information. In case of being compromised companies need to understand their weak points, ways of intrusion and attackers attributes. The course focuses on developing the student’s skills to investigate and analyze complex cyber attacks (Cyber Kill Chain) and to track the threat actor, discover exploited vulnerabilities so that companies can restore data and system integrity.
Digital forensic is the process of detecting and investigating hacking attacks via properly extracted and analyzed evidence and artifacts to report the crime and prevent similar attacks in the future. The crime with computers and digital technologies in today’s cyber world is on the rise. Digital forensic techniques are being used by law enforcement agencies, police, government, and corporate entities around the world. The tools and techniques covered in the course will prepare the attendees to conduct digital forensic investigations using ground-breaking technologies.
The rapid development of digital technologies and advances in communications have led to gigantic amounts of data with complex structures called ‘Big data’ being produced every day at exponential growth. The aim of this course is to give the student insights in fundamental concepts of machine learning with big data as well as recent research trends in the domain. The student will learn about problems and industrial challenges through domain-based case studies. Furthermore, the student will learn to use tools to develop systems using machine-learning algorithms in big data.
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 consists of three parts that introduce and explore the design of extended realities along different axes: a framing perspective, illustrating what XR is, how it has evolved, and how designing XR differs from traditional digital design practices; a methodological perspective, detailing those XR-specific theory and methods that address XR design issues; and a practical perspective, exploring best practices and concrete design activities through direct application of these to a case. Each part consists of lectures, readings, supervision, and an assignment centered on the specific topics discussed in the part of the course.Assignments are carried out by students individually and will be peer-reviewed first and then discussed with the teachers and the class using a design critique approach.
I den här kursen får du en ökad förståelse för vad digitalisering och digital transformation innebär. Du lär dig mer om varför digitalisering kan vara ett bra sätt att utveckla en verksamhet samt hur du kan arbeta systematiskt med den förändringsprocess som digitalisering innebär. Detta kan hjälpa dig att förbättra effektiviteten och innovationsförmågan i din organisation samt bidrar till att utveckla din kompetens. Vad innebär digitalisering och digital transformation och hur kan företag och organisationer arbeta med digitalisering? Det är frågor som du kommer lära dig mer om här. Kursens tar utgångspunkt i digitalisering som tillämpning av digital teknik i företag och organisationer och behandlar samspelet mellan tillämpning av digital teknik och organisationsförändring. Kursen består av följande moduler: Introduction to digitalisation and digital transformation sätter fokus på digitalisering och digital transformation och hur digitalisering kan användas för effektivisering och innovation. Business development through digitalisation introducerar olika modeller för digitalisering och digital transformation där deltagarna ges möjlighet att praktisera några av dessa i sin verksamhet, till exempel modeller för kartläggning av digital mognad och verksamhets- och förändringsanalys. Data driven organizations and data use berör data som resurs vid utvecklingsarbete, till exempel verksamhets-, produkt-, tjänsteutveckling). Deltagarna introduceras i hur data kan utgöra resurs för olika användningsområden, i olika kontext och vilka nyttor och värden som kan förväntas och realiseras med hjälp av data. Leadership and organization in the age of digital transformation fokuserar på ledning och organisering av digital transformation och hur agila arbetssätt, perspektiv och värderingar kan stötta den pågående förändringsprocess som digitalisering medför. Diskussionsinnehållet i kursen tas delvis fram av och samskapas av deltagarna själva genom att de tillämpar teorier, begrepp och modeller på egna erfarenheter. Kursen förutsätter självständigt arbete, kontinuerlig textinläsning samt aktivt och reflekterande deltagande i undervisningen. Kursen vänder sig till dig som är yrkesverksam och som vill utveckla din kompetens inom digitalisering och digital transformation, förändringsledning och hur digitalisering kan användas för effektivisering och innovation i företag och organisationer. Den passar exempelvis dig som är chef, projekt- eller processledare eller som arbetar med affärs- och verksamhetsutveckling samt IT-frågor. Kursen är på avancerad nivå och ger 5 högskolepoäng. Den riktar sig till dig som är yrkesverksam och ges på deltid så att studier och arbete kan kombineras. Undervisningen sker på svenska och engelska och genomförs på distans via Canvas som är Karlstads universitets lärplattform. Kursen är kostnadsfri. Antal platser är begränsat. Läs mer och anmäl ditt intresse till nästa kursomgång hösten 2024: https://www.kau.se/ctf/ise/digitalisering-och-digital-transformation
The course has the objective to provide proficiency in cybersecurity analysis and design in industrial settings, with a special focus on smart factories and Industry 4.0. To that aim, you will learn about advanced cybersecurity concepts, methodologies and tools. You will also be able to apply your knowledge to case-studies of industrial relevance.
Discover the basics of computer vision and its role in Industry 4.0.Humans are in the midst of what is referred to as the Fourth Industrial Revolution, or Industry 4.0: the advent of new technologies that will forever change the face of business, and chief among them is computer vision. This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future. This course will guide you through this journey to have a better understanding of the techniques that stand behind this field, and how you can get the benefit of using CV in your current business. The course will cover he concepts of the following fields, image processing, machine learning, deep learning, and use cases of computer Vision in business. Anyone in industry and academia who wants to boost their digital skills and gain confidence in how computer vision practices have evolved and might add a noticeable positive impact to their business and careers. This may include: Employees, Executives, Directors, Senior Managers, Founders, and Entrepreneurs Undergraduates and post-graduates Researchers, teachers from majors related to business This course will be given in English.