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
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
Study hours: 80 hours distributed over 7 weeks
Scehduled online seminars: January 30th 2024, February 12th 2024 and 11th of March
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!
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
Do you want to learn the basics of Industry 4.0, at your own pace, whenever you want? Then the MOOC (Massive Open Online Course) Introduction to Industry 4.0 is for you.
You will learn basic terminology and theory while gaining insight and understanding of the fourth industrial revolution and how it affects us. The MOOC: Introduction to Industry 4.0 is part of MDU's investment in smart production. The course is divided into ten modules, each of which describes different technologies in Industry 4.0. We estimate that it will take about 40 hours to complete the course and it is in English.
The MOOC can also give you eligibility to apply for these 3 university courses at Mälardalen University:
Internet of things for industrial applications, 5 credits
Simulation of production system, 5 credits
Big data for industrial applications, 5 credits
With the advances of modern technology, cybersecurity has become hard to provide and guarantee. AI can enhance cybersecurity, but also undermine it. In this course, you will learn the different uses of AI for defending and attacking a cybersystem, from fingerprint recognition for authenticating legitimate users, to fuzzing attacks for crashing vulnerable targets.
This course provides an introduction into network security and covers core security concepts such as, e.g., firewalls, authentication, certificate management, encryption, "stateful packet inspection", VPN and others. During the course you are provided with slide and video materials as well as a set of practical assignments and thus gain both theoretical and practical knowledge and skills needed for the installation, troubleshooting, and monitoring of network devices to maintain the integrity, confidentiality, and availability of data and devices.
FOR WHO: The course is targeting professionals who want to deepen their knowledge of emissions from transportation, e.g. high school teachers, civil servants and politicians in public administration, engineers in the field of transport (car manufacturers, fuel production, logistics, ...)
WHAT AND WHY: The purpose of the course is to provide a holistic perspective and increased knowledge in air pollution, to distinguish between climate effects and health effects, but also to provide insight into the tools to bring about social change.
The climate is changing at an increasingly rapid pace and all the focus is on reducing CO2 emissions. However, our society relies heavily on energy conversions, e.g. for transport. Although some transport uses renewable (liquid) fuels, the CO2 balance is affected. Even if some transport is electrified, more CO2 emissions arise in the manufacture of, for example, batteries (and many cases of fossil-based electricity production). But transport also creates other emissions, so-called local emissions which mainly affect people and nature. As modern combustion engines emit very little air pollution, the composition changes and so-called wear particles also play a greater role in human health. Air pollution causes about 5 million premature deaths and is, after cancer, the greatest threat to human health. But local emissions also affect the climate. For example, marine transport will contribute with so-called albedo effects due to particle emissions (from internal combustion engines) and risk worsening climate change even more. This course deals with all the different aspects of air pollution from transport.
WHEN AND HOW: You choose when and at what pace you want to carry out the steps. All parts of the course are free of charge.
The course consists of five modules:
2. The energy system and energy carriers
3. Energy converters (engines) and reduction of emissions (exhaust gas treatment)
4. Measurement and monitoring
5. Health effects, societal aspects
Each module contains several lectures and for each lecture and module there is a quiz where you can get confirmation that you have understood the most important things.
Going through the entire course takes about 3–5 weeks, depending on how intensively/extensively you read. You can also choose to read parts of the course
KursinnehållKursen syftar till att ge en introduktion och överblick av artificiell intelligens. Fokus ligger på att förstå begreppet och några viktiga tekniker som hur sökning och maskininlärning fungerar samt konsekvenser av AI på samhället.
Börja läsa när du vill Du kan börja läsa kursen i stort sett när du vill då kursen är en online-kurs med flexibel antagning. Du gör ansökan till den termin du tänker börja läsa kursen. Vill du börja direkt så ansöker du till innevarande termin, eller så väljer du den termin du tänker börja. Termin väljer du här ovan, så kommer du till rätt ansökningstillfälle.
KursformatKursen är en distanskurs som görs i egen takt och hanteras i sin helhet i en web-baserad kursmiljö. Kursen baseras på självstudier av kursmaterialet och examineras med självrättande tester och inlämningar. Du som har gjort Elements of AI kan anmäla dig till den här kursen för att få dina resultat validerade. Det gäller både den svenska och den engelska versionen av kursen. Du måste inte göra om kursen, däremot måste du ladda upp certifikatet från Elements of AI och göra ett valideringstest med frågor motsvarande de som finns i Elements of AI för att säkerställa att det verkligen är du som gått igenom kursen. För mer information se denna länk.
Kursen handleds över internet.
Information om behörighetObservera att du vid ansökan till kursen måste kunna styrka att du har grundläggande behörighet. Om dina gymnasiemeriter inte redan finns på dina sidor på antagning.se så behöver du ladda upp gymnasieexamen, eller motsvarande, på antagning.se i samband med din ansökan.