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Computer-assisted research methodology

2020/2021, 2nd semester

COURSE INFORMATION

Course code: AOKDI-BAS-01
Year/semester: 1st and 2nd year, 2nd semester (compulsory)
Credit value of the course: 6
Assessment: end-semester examination, examination script (five-scale)
Weekly hours of the course: 2 lessons per week, Friday 10:00 - 11:30
Place: Small Education building, room 22 (online)
Course leader: József Tolnai PhD (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Lecturers: Ferenc Peták PhD DSc, Ferenc Bari PhD DSc, József Tolnai PhD

COURSE DESCRIPTION

The aim of the course is to educate students in the use of modern information technologies for effective work in life sciences. The students will acquire practical knowledge and basic skills required in biomedical data processing, document management, presentation, scientific data graphs, life science databases and other modern information technologies (telemedicine, 3D printing) in medical sciences.

SYLLABUS OF THE PRACTICALS

  • General information, hardware and software environment of the practice, CooSpace, eduid, Office 365, MS Teams
  • Computer-assisted data processing methods, preparation of measurement data for evaluation with a spreadsheet program (MS Excel): importing data, input and data validation, references, calculations, functions, basic statistics, charts, sorting, filtering, large tables, linear regression, pivot table,
  • Creating scientific presentation: traditional slide-based presentation with PowerPoint, virtual canvas and zooming interface in Prezi, interactive presentation with Mentimeter, PechaKucha
  • Presentation of evaluated data, use of graphical software packages (SigmaPlot)
  • Documents, formatting large documents (styles, table of contents, figures and captions, list of figures), advanced document editing (header, footer, footnote, endnote, cross reference, references), reference management with EndNote, creating online medical surveys and forms
  • Use of international scientific life science databases (Pubmed, Web of Science, Scopus, etc.), electronic systems for managing scientific publications
  • Telemedicine and 3D printing

All handouts for the practicals will be available on the CooSpace scene.

RECOMMENDED READING

  • course handouts
  • e-learning materials

REQUIREMENTS FOR THE SUCCESSFUL COMPLETION OF THE COURSE

  • active participation in seminars
  • preparing homework and exam documents independently and submitting them on time

Attendance at the seminars is strongly recommended. Determining the final exam mark, student participation and homework results are taken into account.