Information Technology and Energy Storage

Education facts

Code: 1DT115

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.

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.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Information Technology and Energy Storage

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 21 March 2027

  Pace of study: 33 %