ViMaCs: Virtual Master Cooperation Data Science
Project – ID: 57513461
The project aims to build a virtual learning and lab infrastructure for a digital teaching and module portfolio in the field of “Data Science“. The idea of the project is to embed three Ukrainian partner universities to a virtual master network with the FH Dortmund and its European partners.
Project Scope
- Establish new model of a “Digital Education Ecosystem (DEE)” for Ukraine
Project Goals
- Development of the consortium activities of the ViMaCs;
- Development of four cross-border Master-Level-Modules for training in the framework of Data Science;
- Joint organisation of Spring, Summer, Autumn and Winter Schools as cross-border courses;
- Development and implementation of a digital infrastructure for joint teaching, learning and virtual mobility of students and staff;
- Exchange of students, lecturers and staff between the partners.
Funded by:
Project Activities
Development of the Data Science Learning Modules:
- Business Intelligence and Decision Making
- Data Acquisition and Processing
- Artificial Intelligence and Data Analytics
- Cloud Based Data Processing Systems
Implementation of the IT cluster with the focus on:
- collection and processing of business data and on data-based decision-making.
- collection of technical data and the processing of large amounts of data.
- on artificial intelligence and neural networks, e.g. for biomedical data
Pilot Teaching in form of:
- Winter School
- Spring School
- Summer School
- Autumn School
Development of the training programme:
- eLearning module “ViMaCs Train-the-Trainer” for Didactics and
Teaching - eLearning module “ViMaCs IT Infrastructure” for university staff
Development of the advisory services:
Project Events
We provide Bachelor, Master and PhD students with an opportunity to participate in the Pilot Teaching that is realised in the form of four Schools, each in a different location:
- Spring School (at KNUCA, Kyiv)
- Summer School (at FH Dortmund)
- Autumn School (at WUNU, Ternopil)
- Winter School (at NU-ZP, Zaporizhzhia)
Upcoming Event: Spring School (17 – 21.05.2021)
Project News
ViMaCs Spring School (online)
17.05.2021 – 21.05.2021
Organised by KNUCA, Kyiv, Ukraine
ViMaCs project
We are looking forward to the upcoming Online Spring School which is organised instead of the on-site Spring School (supposed to be held in Kyiv, Ukraine).
To keep everyone active, the Online Spring school will take place via the online platform MS Teams, where teachers from all 4 partner universities will be teaching the lectures on:
- Artificial Intelligence and Data Analytics,
- Business Intelligence and Decision Making,
- Cloud Based Data Processing Systems
- Data Acquisition and Processing.
Moreover, participants will have a possibility to apply their knowledge by solving the case study provided by Luxoft company.
Lecturers and workshops will be taught in English.
The Spring School 2021 is free of charge.
Register until 10.05.2021 via this link.
Invitation can be downloaded here.
Partners
Main focus in the project: Business Intelligence, Business Analytics, and Decision Making
Main focus in the project: Data Acquisition and Data Processing
Main focus in the project: Software Engineering and Artificial Intelligence
Contact
Past Events
ViMaCs Kick-off meeting
25.10.2019
Kyiv, Ukraine
ViMaCs project
The Kick-off meeting of the DAAD project Virtual Master Cooperation Data Science (ViMaCs), that started on 01.10.2019 took place at the Kyiv National University of Construction and Architecture [KNUCA] on 22 October 2019.
ViMaCs Summer School
29.06.2020 – 03.07.2020
Organised by Dortmund, Germany
ViMaCs project
“No Virus can stop us” – under this moto was organized the ViMaCs Summer School in cooperation with the DAAD EuroPIM Project. The lectures were organised in online mode. All 4 partners taught their specific topic and could test the developed materials for their modules.
ViMaCs Winter School (online)
07.12.2020 – 11.12.2020
Organised by FH Dortmund, Germany
ViMaCs project
Online Winter School addressed Master Students from FH Dortmund, NU-ZP, WUNU and KNUCA and covered such topics as:
- Artificial Intelligence and Data Analytics
- Business Intelligence and Decision Making
- Cloud Based Data Processing Systems
- Data Acquisition and Processing.
The teaching of the 4 modules (Artificial Intelligence and Data Analytics, Business Intelligence and Decision Making, Cloud Based Data Processing Systems and Data Acquisition and Processing) was combined and presented during 5 full days of the block week. Each module was presented for approximately 7 hours. 11 teachers and professors from all 4 universities have lectured for the 24 registered students and 6 academic staff (attendant as listeners).