Model Driven Engineering
- Introduction to MDE and the Eclipse Modelling Framework (EMF) (Dimitris Kolovos, University of York)
- Graphical Modelling using GMF and Eugenia (Dimitris Kolovos, University of York)
- Model validation and transformation (Dimitris Kolovos, University of York)
- Introduction to Eclipse GLSP & EMF.Cloud (Philip Langer, Nina Doschek)
- Architecture Overview
- Eclipse Graphical Language Server Platform (GLSP)
- EMF.cloud Model Server
- Loading and rendering models via the GModel and SVG views
- Adding palette items
- Processing operations in GLSP handlers
- Manipulating the model in the model server
- Custom UI extensions, actions, handlers and model server endpoints
Professional
- Oral Presentations (Morgane Heligon, IMT Atlantique)
- Team management (CLMS)
- Scientific writing (Juan de Lara, UAM)
- Grant proposal writing training (Ákos Horváth, IncQuery Labs)
- Job interview and application (Joost Noppen, British Telecom)
- IPR Management (Iryna Lishchuk, UH)
- Start-up testimonies
- Startup vs. Telko (Peter Lieber, Sparx Systems): The story of mobil data vs A1 Telekom Austria
- From Viatra to IncQuery Suite (Ákos Horváth, IncQuery Labs): From open-source enthusiasm to hard core industrial reality
- The story of IncQuery Labs (Istvan Ráth, IncQuery Labs): Nobody thought that it will be this hard
- Hopping here and there (Marco Brambilla, Politecnico di Milano): lessons learnt across ideas, research, and business
- Setting up office: Kinori Tech (Beatriz Sanchez Pina and Horacio Hoyos Rodriguez, University of York): The hidden hurdles of starting a Company
- Are Startups for me? (Pedro Molina, Metadev): Some advice I would give to my younger self to design my career path.
- Industrial Sector Career
- Project self-assesment
- Future steps in career development
- Business Modeling and Development
Cloud Computing & Virtualization
- Cloud Computing & Virtualization (Helene Coullon, Jonathan Pastor)
- Training by Amazon Web Services (AWS)
- Technical essentials on AWS
- Running Container-enabled Microservices on AWS
- Data-driven hackathon
- Open Source (data available about energy consumption in London Households)
Data Science - Machine Learning
- Data Science and Machine Learning (Paul Taylor, Iván Cantador)
- Introduction to Data Science, Machine Learning and AI
- SQL Refresh and Introduction to R and RStudio
- Exploratory Data Analysis and Statistics in R
- Machine Learning in R
- Machine Learning and Big Data
- Machine Learning - Model Building and Validation
- Best Practice Data Science and Machine Learning Standards
- Information retrieval and Machine Learning
- The future of AI
- Advanced SQL
- Machine Learning in Python with Scikit Learn
- Tips, tricks and Tools