ErgoDesign

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ERGODESIGN PROJECT IMPROVING DIGITAL SKILLS FOR ERGONOMICS AND BIOENGINEERING INNOVATIONS FOR INCLUSIVE HEALTHCARE

Official TUV CP PR3/A2

Ergonomics and Bioengineering Innovations

Science research presentations:

1. D Pavlova, R Filchev and T Dovramadjiev. Application of zirconium in dentistry for creating dental crowns. Published under licence by IOP Publishing Ltd. IOP Conference Series: Materials Science and Engineering, Volume 1235, The 25th Edition of IManEE 2021 International Conference (IMANEE 2021) 21/10/2021 - 22/10/2021 Online.  IOP Conf. Ser.: Mater. Sci. Eng. 1235 012026. 
   • https://iopscience.iop.org/article/10.1088/1757-899X/1235/1/012026
   • https://iopscience.iop.org/article/10.1088/1757-899X/1235/1/012026/pdf
2. Beata Mrugalska, Tihomir Dovramadjiev, Diana Pavlova, Rusko Filchev, Mariana Stoeva, Violeta Bozhikov, Rozalina Dimova. Open source systems and 3D computer design applicable in the dental medical engineering Industry 4.0 – sustainable concept.  Elsevier. Procedia Manufacturing, Volume 54, 2021, Pages 296-301.
   • https://www.sciencedirect.com/science/article/pii/S2351978921001967
     
   • https://reader.elsevier.com/reader/sd/pii/S2351978921001967?token=26CCF373EF37716A91816E640A8E7437E7288B11589E665A3E986B7E2FE95EBD0BBCF03AE181C55CDCC96FC6EC30E279&originRegion=eu-west-1&originCreation=20220906095419

The subject follows the essential digital competences.

In the area of the basics of data management, he builds basic knowledge through tabular database structures and their development into relational structures.

In the field of programming, he develops basic programming knowledge and skills for specific health care issues.

The third education group of the subject are typical applications of artificial intelligence in healthcare.

An important part of the education is the student's independent work focused on understanding the efficient storage and processing of data through a suitable data structure, basic programming techniques and simple applications of artificial intelligence.

Topic-related learning outcomes:

1 Knowledge:

• Understanding the principles of the simple tabular datasheet and relational database;
• Understanding of the basic programming for the applications in health care;
• Understanding of the basic applications of artificial intelligence.

2. Skills:

• Ability to build simple tabular database;
• Ability to build simple relational database;
• Ability to use a simple programming for automation of data processing;
• Ability to use simple tools for artificial intelligence application for processing heal care data.

3. Social competences:

• Ability to work independently on simple database and data processing tasks.

 Methods for verifying learning outcomes and assessment criteria - learning outcomes presented above are verified as follows analyse of student performance on:

• Building a simple table database;
• Building a simple relational database;
• Creating a simple program for database;
• Simple application of artificial intelligence for data processing.