GRUNDERNA I AI

This course will teach you how to build convolutional neural networks. You will learn to design intelligent systems using deep learning for classification, annotation, and object recognition.

Örebro University is offering a course in machine learning. The course will offer knowledge of the basic concepts with machine learning, the selection and application of different machine learning algorithms as well as evaluation of the performance of these learning systems. After completing the course, student should be able to prepare data and apply machine learning techniques to solve a problem in an intelligent system. The course is part of the education initiative Smarter at Örebro University.    

In the modern IT world, businesses often have access to large amounts of data collected from customer management systems, web services, customer interaction, etc. The data in itself does not bring value to the business; we must bring meaning to the data to create value. Data mining and machine learning is an area within computer science with the goal of bringing meaning to and learning from data. This course will focus on applied machine learning, where we learn what algorithms and approaches to apply on different types of data.This course is for experienced developers working in the industry. The course includes the following: Supervised learning, different types of data and data processing, Algorithms for handling text documents, Algorithms for handling data with numerical and categorical attributes, Neural Networks and Deep Learning for image recognition

The Internet of Things (IoT) is a networking paradigm which enables different devices (from thermostats to autonomous vehicles) to collect valuable information and exchange it with other devices using different communications protocols over the Internet. This technology allows to analyse and correlate heterogeneous sources of information, extract valuable insights, and enable better decision processes. Although the IoT has the potential to revolutionise a variety of industries, such as healthcare, agriculture, transportation, and manufacturing, IoT devices also introduce new cybersecurity risks and challenges. In this course, the students will obtain an in-depth understanding of the Internet of Things (IoT) and the associated cybersecurity challenges. The course covers the fundamentals of IoT and its applications, the communication protocols used in IoT systems, the cybersecurity threats to IoT, and the countermeasures that can be deployed. The course is split in four main modules, described as follows: Understand and illustrate the basic concepts of the IoT paradigm and its applications Discern benefits and drawback of the most common IoT communication protocols Identify the cybersecurity threats associated with IoT systems Know and select the appropriate cybersecurity countermeasures Course Plan Module 1: Introduction to IoT Definition and characteristics of IoT IoT architecture and components Applications of IoT Module 2: Communication Protocols for IoT Overview of communication protocols used in IoT MQTT, CoAP, and HTTP protocols Advantages and disadvantages of each protocol Module 3: Security Threats to IoT Overview of cybersecurity threats associated with IoT Understanding the risks associated with IoT Malware, DDoS, and phishing attacks Specific vulnerabilities in IoT devices and networks Module 4: Securing IoT Devices and Networks Overview of security measures for IoT systems Network segmentation, access control, and encryption Best practices for securing IoT devices and networks Organisation and Examination Credits and time table: 3 ECTS distributed over 10 weeks Scehduled online seminars: December 4th 2023, January 12th 2024 and February 9th 2024 Examination, one of the following: Analysis and presentation of relevant manuscripts in the literature Bring your own problem (BYOP) and solution. For example, analyse the cybersecurity of the IoT network of your company and propose improvements The number of participants in the course is limited, so please hurry with your application!

Your abilities in development work gain more and more importance in professional life. This course gives you the opportunity to develop knowledge and skills in product, production and business development as well as the relationship between these. You are introduced to systematic working methods for product, production and business development with a focus on innovation and creativity in practical contexts. The overall aim of the course is an in-depth understanding of the application of various processes for development work of various kinds. The goal is that the students increase their ability to understand and apply development processes and increase their insight into how the processes relate to organizations’ innovation and business strategies to obtain circular flows, resilience and sustainability in the manufacturing industry. The teaching consists of self-study of course literature, films and other material via an internet-based course platform, scheduled webinars and written reflections. No physical gatherings. Scehduled online seminars: December 4th 2023, January 8th 2024, January 22nd 2024 and February 5th 2024 The number of participants in the course is limited, so please hurry with your application!

This course provides a glimpse into the world of batteries. We all use batteries every day, but do you really know how a battery works, what’s inside it, what it’s useful for, and how scientists are trying to improve them for the future? In this introductory course, we will tell you everything from battery basics, through the development of the lithium-ion battery, their applications and requirements, what kinds of materials are used to build batteries, to what happens to a battery when it’s finished its life and how batteries are being developed for the future. As a participant in this course, you ideally have some form of technical background, probably studied sciences at college or even in higher education, or have experience in a technical profession. It is hoped that after the course you will be much more aware of the battery world, the requirements, applications and components of a battery, as well as having a wider perspective of how this important technology will develop over the coming decade. It is expected that this course should take about 10-15 hours in total to complete.   The course will be available from 30th of December 2022.