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: English The course is free of charge
This course provides a fundamental knowledge of IoT, targeting physical devices, communication and computation infrastructure. The course gives theoretical knowledge as well as hands-on experiences to build an IoT application.
Modern web applications can often be described in terms of cooperation and sharing, both on the level of the users of the application and on the level of the application and the service providers. This course covers the most prevalent security challenges of web applications, from a theoretical and practical perspective.
In this course, you will gain insight in components and technologies included in the Industrial Internet of Things (IIoT).
Designed specifically for manufacturing sector professionals, the course provides knowledge about the infrastructure, the technologies and requirements needed to generate, transport and manage data in the Industrial Internet of Things (IIoT) system which is one of the main building blocks towards digitalization and smart factories.
It includes project work, laboratory exercises and assignments where the student gets knowledge of different applications of IIoT in the manufacturing industry.
Robot system 1 deals with industrial robots and their use in industry. The course addresses the structure and properties of robots, as well as principles for use in industry based on different principles.
Based on the requirements placed on a robot system, these can be configured based on different technical points of departure, how they are to be used and methods for creating efficiency. Common equipment is taken up as adaptations to different work processes and applications. Here grippers and sensors come in as well as process equipment of various kinds.
The course covers factors for investment, as well as laboratory work on how security and programming can be handled.
This course is for professionals who work with production systems, automation and robotics at various levels as responsible for individual production lines, departments, or role as production manager or production development. The course will mainly focus on the manufacturing industry in application examples, but principles that will be addressed will be applicable to a number of industries, including consulting companies working towards the manufacturing industry.
The course contains the following:
Industrial robots as a concept; structure and properties; robots in relation to concepts such as Industry 4.0 and Smart Industry
Principles of use; configuration of robot system
Laboratory work with safety and programming of industrial robots
Development trends, global perspective
The purpose of this course is to introduce security practices within the Software Development Lifecycle (SDLC) at the requirements, design, implementation, verification, and after release stages of software development.
This course is the guide to the cybersecurity issues arising throughout the entire development process. We consider the development from the security perspective from the beginning stage until the final release and beyond. The course is adapted to give a solid introduction to non-security-experts mainly and addresses both how professionals (developers, managers, decision-makers) can utilize security to improve (software-based) products/services, and how they are affected by security issues and challenges.
Whether you are a software developer in a bank or telecom company, or you are a product manager in a gaming company, this course will be relevant for you.
Today, the explosion of data has created new opportunities to apply machine learning (ML). Handling of the large amounts of data created by the very rapid digitization would not be possible without Machine Learning (ML). The purpose of the course "Introduction to Machine Learning" is to give you the foundation for ML. You will get an introduction to the basic areas of ML: data, statistics and probability for ML.