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Overview
What you will study
In the Internet of Things and Artificial Intelligence course offered by KTH Royal Institute of Technology, we will use IoT and AI in the digitalized world, where vehicles will drive without human drivers, and energy and water resources will be distributed much more efficiently than today.
The Internet of Things (IoT) and Artificial Intelligence (AI) are technologies that make “the world of everything connected” because they can connect physical objects, people, or infrastructure, especially thanks to wireless communications. IoT and AI allow us to gather data, make data analysis, and ultimately take some automatic decisions.
After passing the course, the student should be able to:
- give an account of the central tools in communication technology for Internet of Things (IoT)
- design IoT systems
- give an account of central machine learning methods for IoT
- design machine learning methods for IoT systems
in order to:
- understand and explain which design options there are for a specific communication system
- be able to provide arguments for which type of performance that should be prioritised in the design of IoT systems and machine learning methods
- understand and explain machine learning design options for specific communication systems.
Programme Structure
The program focuses on:
- The focus of the course is on machine learning methods and algorithms for communication protocols of Internet of Things (IoT).
- The course starts with discussing applications of network architecture.
- Thereafter, methods for communication protocols are treated and how these methods can be applied in the design of important aspects of the communication protocol stack.
- The course analyses machine learning algorithms that can be run on IoT systems, where data and calculations are distributed.
Key information
Duration
- Full-time
- 2 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
TOEFL® IBT 90
Credits
7 ECTS
Delivered
On Campus
Disciplines
Electrical Engineering Artificial Intelligence View 12 other Short Courses in Artificial Intelligence in SwedenWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 90
Other requirements
General requirements
- In total 180 higher education credits of which at least 90 higher education credits in electrical engineering, engineering physics or technical mathematics.
- Knowledge in one variable calculus, 6 higher education credits.
- Knowledge in computer communication, 6 higher education credits.
- Knowledge in probability theory, 6 higher education credits.
- The upper secondary course English B/6.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at KTH Royal Institute of Technology and/or in Sweden, please visit Student Insurance Portal.
Tuition Fee
Living costs for Stockholm
9668 - 17248 SEK /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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