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Introduction to Medical Informatics
academic year 2020/2021, 1st semester

COURSE INFORMATION

Course codes: AOK-OAKV481, AOK-OAKV482
Year/semester: 1st year, 1st semester
Credits: 3
Form of examination: 5 degree practical mark, signature
Lecture: 1 lesson per week
Lecture place and time: Monday 15:00 - 15:45
Lectures will be held as live YouTube streams at their scheduled time. The links to connect will be published in CooSpace.
Practice: 2 lessons per week. Practicals start in contact form.
Course description (PDF) >>

 

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, and in various areas of computer communication.

The lectures cover the basic concepts of medical informatics, the fundamentals of computer architecture, principles and functions of software applications, operating systems, computer networks and web-based applications. The lecture topics also include the concepts of data processing and presentation in life sciences, medical digital imaging, and innovative medical solutions such as telemedicine, medical application of 3D printing, virtual or augmented reality, and deep learning.

The aim of the practical course is to provide basic practical skills in electronic communication, computer-aided analyses of biomedical data, creating electronic documents and presentations in medical sciences, telemedicine, and 3D printing.

Syllabus of the lectures (Monday 15:00-15:45)

  1. September 7 - Informatics revolutionized medicine and medical research (Prof. Ferenc Peták)
  2. September 14 - Computer architecture: form personal computers to supercomputers and smart devices (Prof. Ferenc Peták)
  3. September 21 - Computer software, Operating Systems, viruses (Prof. Ferenc Peták)
  4. September 28 - Medical image processing (part 1) (Dr. Attila Nagy)
  5. October 5 - Medical image processing (part 2) (Dr. Attila Nagy)
  6. October 12 - Computer networks (Prof. Ferenc Peták)
  7. October 19 - Internet, cloud computing and data security (Prof. Ferenc Peták)
  8. October 26 - Data presentation (Dr. József Tolnai)
  9. November 2 - Telemedicine (part 1) (Dr. József Tolnai)
  10. November 9 - Telemedicine (part 2) (Prof. Ferenc Bari)
  11. November 16 - Medical applications of 3D design and printing (Dr. Gergely Fodor)
  12. November 23 - 3D bioprinting (Prof. Ferenc Bari)
  13. November 30 - Medical applications of virtual and augmented reality (Dr. Gergely Fodor)
  14. December 7 - Deep Learning, AI for medicine (Dr. József Tolnai)

All handouts for the lectures will be available on this website and on the CooSpace scene.

Syllabus of the practicals

  1. General information, hardware and software environment of the practice, CooSpace, eduid, Office 365, MS Teams
  2. Introduction to spreadsheets using MS Excel (data input, data validation, autofill)
  3. Evaluation of medical data with spreadsheets (references, calculations, functions)
  4. Evaluation of medical data with spreadsheets (basic statistics, advanced functions)
  5. Evaluation of medical data with spreadsheets (charts, sorting, filtering)
  6. Evaluation of medical data with spreadsheets (regression, large tables, pivot table)
  7. 1st practical test
  8. Creating scientific presentation (PowerPoint, Prezi, Mentimeter)
  9. Medical data on the web. Creating online medical surveys and forms
  10. Documents, formatting large documents (styles, table of contents, figures and captions, list of figures)
  11. Advanced document editing (header, footer, footnote, endnote, cross reference, references)
  12. Telemedicine and 3D printing in practice
  13. 2nd practical test
  14. Conclusion remarks, discussion of practical marks

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

REQUIREMENTS FOR THE SUCCESSFUL COMPLETION OF THE COURSE

Attendance of the lectures is strongly recommended, downloading lecture slides cannot substitute for the participation at the lecture. There is no end-semester final exam. The course ends in a five-step evaluation.

Attendance at the practices is obligatory. Completion of the practical course is certified by the instructor’s signature. The prerequisites for this signature are attending them and writing the pass level of mid-term tests. Practices can be made up by students on their own with tutorials and e-learning materials uploaded to Coospace. The absence shall be certified in accordance with faculty and university regulations.

During the semester student have to pass two practical tests (each with  maximum of 100 points), including a theoretical (25%) and a practical part (75%). A maximum of 10 bonus points can be awarded by the practical teacher for individual work. Further 2 points/lecture can be awarded for a successful Mentimeter test at the end of each lecture.

Retake is possible at the end of the semester on the last practice.
Grades of the course are determined as follows:
  •     0–100 points: failed (1)
  • 101–125 points: passed (2)
  • 126–150 points: accepted (3)
  • 151–175 points: good (4)
  • 176–200 points: excellent (5)