Information Technology and Energy Storage, 5 credits
Academic year 2023/2024
Spring 2024, 33%, Campus
Start date: 15 January 2024
End date: 17 March 2024
Application deadline: 16 October 2023
Application code: UU-61201 Application
Language of instruction: English
Selection: Higher education credits in science and engineering (maximum 240 credits)
Registration: 15 December 2023 – 22 January 2024
Entry requirements: 120 credits including 90 credits in computer science, chemistry, mathematics, and technology. Proficiency in English equivalent to the Swedish upper secondary course English 6.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester: SEK 12,083
Tuition fee, total: SEK 12,083
About the course
Introduction to recent digitalisation concepts of technological importance: Internet of Things, wireless communication systems, and its interrelation with energy storage. Introduction to machine learning and artificial intelligence: its terminology, an overview of basic algorithms and literature study on its use in modelling energy storage. Use of established tools and algorithms for machine learning in modelling energy storage.
To pass, you must be able to:
- discuss the energy profile for Internet of Things applications, wireless systems, and other emerging technologies
- explain and motivate use cases in which artificial intelligence tools can be used in the field of chemical energy storage
- explain and compare basic machine learning methods in the context of modelling energy storage
- use machine learning techniques and software to model energy storage.
Department of Information Technology
hus 10, Lägerhyddsvägen 1
Box 337, 751 05 UPPSALA