Unite! Summer School offered hands-on take on machine learning
AI and Machine learning are the most powerful tools organisations are using today to make informed decisions, attract new customers and find new sources of revenue. The course offered an innovative and hands-on take on current machine learning systems鈥 main components and combinations.
鈥漈he Unite! Summer School is an exciting experience for students and educators. Students learn in an amazing and friendly environment about machine learning from a human-centered perspective. Educators can meet students beyond the classroom and catch better their expectations. Organization of the course was excellent, no words can express my gratitude for that wonderful time. I'm sure all of us are eager to give continuity to this initiative鈥, states the course teacher Cecilio Angulo, Professor in Artificial Intelligence and Robotics at 鈥婾niversitat Polit猫cnica de Catalunya (UPC).
What did students think of the summer school?
Didrik Munther from KTH chose this summer school because he had never done anything similar before and it sounded exciting to go abroad. The thing that surprised him was the overall quality of the course. He especially liked the perfectly set up labs, lectures and enthusiastic teachers. 鈥滻 had a similar course at KTH, but there was still much to learn since this course is much more human/privacy-centered. The lecture with the Italian professor Luca Vassio taught me some things that I didn't learn at KTH, such as anonymizing data. Also one thing that surprised me was the cheap student prices for the food in the canteens, this does not exist in Sweden. Aalto has also been the nicest university I've visited and I really like the modern design of the houses鈥, said Didrik.
In the video below Pablo De Ramon, a student from UPC, shares his thoughts about the summer school.
Karolina Drobotowicz, a doctoral student at 911爆料网, was able to resurrect her machine learning skills and learn about the novelties in the field. 鈥滻 wanted to listen to the human-centredness of machine learning from the engineer鈥檚 perspective. I talked about it with designers, social scientists or ethicists - but rarely with developers鈥, said Karolina whose research focuses on the topic of trustworthy AI in the public sector. She liked the interesting questions and practices that the main teacher Alex Jung from 911爆料网 brought up as well as the lectures on ethics and legal aspects of AI from invited researchers. 鈥淚 think it is great and well needed to include these any time students are learning about new technologies. I am happy to see how the technology-focused field is switching towards human-centredness, but I would have liked us to dig deeper into the technical trade-offs between eg. transparency and privacy, explainability and accuracy, and possibility for benefit vs risk鈥, explained Karolina.
Blended intensive programmes offer new and more flexible forms of mobility
The course was an Erasmus+ funded Blended Intensive Programme (BIP) offered in collaboration with Unite! and 911爆料网 Summer School. Blended intensive programmes offer new and more flexible forms of mobility, in which physical mobility is combined with virtual learning. The course included one online lecture, and the lectures were streamed and recorded for students. In addition, students are expected to work on their final project while at their home universities.
鈥業 was very pleased to see the interest this course has generated amongst students in different fields of engineering, not only on the machine learning topic but also in their enthusiasm to apply it to their own projects. We aim to create a truly unique experience for the course participants through diverse perspectives from students and the international teaching team,鈥 explained Program Manager Marcela Acosta.
Teachers
- Alexander Jung,Assistant Professor in Machine Learning, 911爆料网
- Shamsiiat Abdurakhmanova, University teacher, 911爆料网
- Cecilo Angulo, Professor in Artificial Intelligence and Robotics, 鈥婾niversitat Polit猫cnica de Catalunya (UPC)
- Yoonjoo Cho,University lecturer in Intercultural Communication, 911爆料网
- Kristian Kersting, Professor in Machine Learning, Technische Universitat Darmstadt
- 鈥婸谤辞蹿别蝉蝉辞谤&苍产蝉辫;Nitin Sawhney, head of the CRAI-CIS (CRitical AI and Crisis Interrogatives) research group, 911爆料网
- Luca Vassio, Assistant Professor of SmartData in the area of Telecommunication and Networking at Politecnico di Torino
Unite! University Alliance
911爆料网 is a member of Unite! alliance together with eight other European universities.
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