On Wednesday, May 15, 2024, from 15:00 to 17:30, a presentation of the joint project of the German federal company GIZ Ukraine and the Kyiv Academic University “Increasing the capacity of the digital innovation hub of the Kyiv Academic University Read More …
Year: 2024
Creating and supporting the development of Digital Innovation Hubs (DIH)
In March 2024, the Kyiv Academic University launched the project “Creation and support of Digital Innovation Hubs (DIH)”, which is one of the key activities of the project to promote the creation of an ecosystem of digitalization, automation, science and Read More …
Workcshop. Parallel Computing and HPC
Exciting news! Join the workshop taught by visiting scientist Jiří Vyskočil from The Center for Advanced Systems Understanding (CASUS), Germany: Parallel Computing and HPC Supercomputers thanks to their high performance empower researchers to tackle extremely difficult computational problems and drive innovations across Read More …
Data spaces symposium
On March 12-14, the Data Spaces Symposium was held in Darmstadt, Germany, where Volodymyr Nochvay, Head of NOSC-UA DIH, participated and presented CADS Data Space expertise. The Data Spaces Symposium was held at the Darmstadtium (Schlossgraben 1, 64283 Darmstadt, Germany), Frankfurt Region this year Read More …
Fundamentals of phase transformations in metals and alloys
Fundamentals of phase transformations in metals and alloys Level: intermediate Language: Ukrainian Format: online Course duration: 15 hours Target audience: Undergraduate and graduate students majoring in materials science and mechanical engineering.. Accessibility: self-study based on video and text materials on the platform eduportal.kau.org.ua, passing the final Read More …
Machine Learning in Materials Lifecycle
Machine Learning in Materials Lifecycle Level: beginner Language: English Format: online Course duration: 30 hours Target groups: Students, professionals, and executives/managers in the fields of general Machine Learning, experimental Materials Science and Engineering, non-ML computational Materials Science. Availability: Starting soon This course, “Machine Learning in Materials Read More …
Mathematical Foundations of Machine Learning
We continue a series of educational courses on knowledge-intensive technologies and the use of AI and ML in materials science. We invite you to the fourth course of the BOOSTalent project “Mathematical Foundations of Machine Learning”. This course is dedicated Read More …
Advanced Powder Technologies
Level: advancedLanguage: EnglishFormat: onlineCourse duration: 30 hoursTarget groups: undergraduates and post-graduates of specialty materials science, mechanical engineeringAvailability: Starting soon The lecture course “ADVANCED POWDER TECHNOLOGIES” is based on practical R&D experience of nanostructured materials from their synthesis to consolidation. The main principles of material structure engineering Read More …
Introduction to Powder Technologies
Introduction to Powder TechnologiesLevel: intermediate Language: English Format: online Course duration: 30 hours Target groups: undergraduates and post-graduates of specialty materials science, mechanical engineering Registration: close Availability: check the Events. The course of lectures INTRODUCTION TO POWDER TECHNOLOGY is devoted to the basics of working with nanostructured Read More …
Density functional theory for computational materials design
Level: beginner Format: online Course duration: 30 hours Target groups: undergraduates and post-graduates of specialty materials science, mechanical engineering Registration. Availability: Always available (for online completion) This is the first course in a series on quantum mechanical calculations of materials. We will talk about the Read More …