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Erasmus+ project iBIGworld: Short-term Teacher’s Training C2 has been conducted at the University of Nis in Serbia

Erasmus+ project iBIGworld: Short-term Teacher’s Training C2 has been conducted at the University of Nis in Serbia

During the period May 16 – May 20, 2022 Teacher’s Training C2 was held. The training was organized by the University of Nis (UNi).

5 days 35 hours joint staff training was aimed to transfer and share the knowledge regarding the developed intellectual outputs in the Big Data area and prepare the trainers for pilot training. The agenda of the event can be found through the link https://docs.google.com/document/d/1M0URP5od4wvHT4cs44Wr0pTlLmCJ6Kqx/edit?usp=sharing&ouid=101046534126028994548&rtpof=true&sd=true

University of Bielsko-Biala (UBB), University of Library Studies and Information Technologies (ULSIT) have sent four trainees each who are their staff members / lecturers in ICT area, database and machine learning as well as experienced in continuous professional development training. Three trainees from Taras Shevchenko University of Kyiv (TSNUK, Ukraine) have participated at the event online with the help of MS Teams.

The training has been conducted using the methodology already created and the training materials that have been developed as a result of Intellectual Outputs O1, O2, and O3 with the participation of members from partner universities. The teams were formed at the second project meeting M2 in Kyiv.

The format was organized as follows – morning sessions with conceptual work and presentations and afternoon workshop sessions where the 15 trainees were splitted into smaller groups to work on particular tasks, then all will get together again for presentation of their results and discussion.

The topics of the training included:

– DataBased with good practices BigData case (covering 01 – A1.1. Data Collection and A1.2. Analysis)

– How to analyze the Big Data Requirements and how to find the best solution to problems (covering 02 and 03)

– How to better prepare BigData specialists in the Data Lake ecosystem (outputs O3 and O4)

– How to help managers find the best way to use their BigData resources

All details can be found in ReportC2

 

We build possibilities grounded in data

We build possibilities grounded in data

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Our web pagehttps://www.precisely.com/

 

Da Vinci Studio

Da Vinci Studio

The da Vinci Studio join iBigWorld Hub.

Da Vinci Studio is a team of  enthusiastic and broad programming developers who love what they do. Web applications and Machine Learning have been our superpowers for over 13 years. We have implemented over 850 projects for over 200 satisfied clients around the world, including large enterprises and start-ups.

 

 

Contact on our webpage

A website design for athletes based on Big Data

A website design for athletes based on Big Data

The University of Bielsko-Biala realizes the project as part of BSc thesis.

The work involves using data on various forms of training to find solutions that are currently leading in the fitness market. The solution is based on data obtained from many sources and allows for taking into account the sentiment. The solution is based on a pipeline of data obtained from social networks and the expert experience of personal trainers. Information about the project will follow soon.

work supervisor: Marcin Bernaś (mbernas@ath.bielsko.pl)

Project of building a data “pipeline” taking into account Big Data aspects

Project of building a data “pipeline” taking into account Big Data aspects

The University of Bielsko-Biala realizes the project as part of BSc thesis. The subject of the thesis is to get acquainted with the available technologies that enable working on large data sets referred to as Big Data and to design a data pipeline based on specific assumptions. The process of creating a data stream covered the processes of obtaining, processing, analysing, applying and storing data. When designing the data pipeline, the author of the work used Google Cloud Platform tools. The Google Storage component made it possible to access the data storage container. The Google Dataproc service made it possible to create and configure the Hadoop and Spark cluster. In the created example, the author showed the transformation process of data obtained from the Twitter social network, extracting from its data on the customer’s opinion about the surveyed company. The next stage of work concerned the analysis of the obtained data, for this purpose the Google Data Studio platform was used, with the help of which charts, reports and statistics were created, enabling an in-depth analysis of the studied example. The obtained data was compared with the information available on the market.

 

work supervisor: Marcin Bernaś (mbernas@ath.bielsko.pl)

Start!

Start!

Welcome to Erasmus+ Innovations for Big Data in a Real World
(iBIG World) project website!

The Department of Computer Science and Automatics launched a new Erasmus+ Project entitled Innovations for Big Data in a Real World (iBIG World). The project aims to join together HEIs, business in order to address the competencies and compatible job profile. This collaboration will provide innovative solutions to develop BigData experts. The project’s learning framework is based on IEEE guidelines for big data in Machine Learning.

The project is carried out by a consortium of four universities: the University of Bielsko-Biała, University of Library Studies and Information Technology (Bulgaria), University of Nis (Serbia), and Taras Shevchenko National University of Kyiv. The consortium is coordinated by professor Vasyl Martsenyuk.  

 Find out more about the project: http://ibigworld.ni.ac.rs/

Contact the project team: erasmusibigdata@ath.edu.pl