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Uppsala University
Information Technology and Energy Storage
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…
- Higher education
- Information unavailable
- 18 January 2027
- Uppsala
- Information unavailable
- 33 %
Overview
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.
Admission scores
Entry requirements
120 credits including 90 credits in computer science, technology, mathematics, chemistry, physics, or materials science. Proficiency in English equivalent to the Swedish upper secondary course English 6.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.uu.1dt115.61204.20271
- Last checked
- 2026-09-23T10:39:41.205927+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.uu.1dt115.61204.20271
- Offering identity in the source
- e.uoh.uu.1dt115.61204.20271
- Education-form source code
- HS
- Education code in the source
- 1DT115
- Change time according to the source
- 2026-09-10T10:12:47
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.