The aim of the course is to broaden the understanding of the risks associated with technology and to present the concept of social risk perception and risk management in the context of smart metering technology. In the current phase of technological development - called the Fourth Industrial Revolution - rapid and profound changes are creating new, particularly destabilizing threats. In the increasingly complex technological systems that make up modern life, risk becomes difficult to identify and even more difficult to measure and manage. From this point of view, many technologies are considered, such as artificial intelligence (AI) or genetically modified organisms (GMOs). A demonstration example from the energy sector is smart metering (SM) technology.
- Teacher: SZYMON Potrykus
Prerequisites: The course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Automation, Electronics, Electrical Engineering and Space Technologies tracks at Doctoral School at Gdańsk University of Technology
Content
During the course students will learn about different classes of intelligent materials and a strong emphasis will be placed on their practical use in modern technologies. The course is planned to embrace both scientific and technical knowledge about functional materials that will allow students to understand their behaviour leading to present and possible future applications. The course is divided into 2 consistent modules (7.5 hours each), covering 15 hours of lectures in total, and also includes a general introduction lecture to the subject of functional materials.
The first module embraces information and lectures on:
1. electrostrictive materials,
2. magnetostrictive materials,
3. piezoelectric materials,
4. shape memory materials.
The second module embraces information and lectures on:
5. electrorheological fluids,
6. magnetorheological fluids,
7. nanotechnology and nanomaterials,
8. novel smart composites.
- Teacher: Robert Bogdanowicz
- Teacher: KAROLINA Cysewska
- Teacher: Piotr Jasiński
- Teacher: Sebastian Molin
Discipline: Soft Skills
Obligatory course for 1st-year PhD students
Academic teacher: CJO PG
Total hours of training: 30 teaching hours
Discipline: Soft Skills
Obligatory course for 1st-year PhD students
Academic teacher: CJO PG
Total hours of training: 30 teaching hours
Discipline: Soft Skills
Obligatory course for 1st-year PhD students
Academic teacher: CJO PG
Total hours of training: 30 teaching hours
Discipline: Mechanical Engineering
Obligatory course for 1st year PhD students
Academic teacher:
Prof. dr hab. inż. K. Tesch
Total hours of training: 20 teaching hours
Course type: lecture
- Teacher: Krzysztof Tesch
