Specialised subject 3. Advanced IT techniques in medicine Field of study: Materials Science and Engineering
Programme code: 08-S2MA12.2015

Module name: Specialised subject 3. Advanced IT techniques in medicine
Module code: IM2A_PS3_ZIMED
Programme code: 08-S2MA12.2015
Semester:
  • summer semester 2017/2018
  • summer semester 2016/2017
Language of instruction: Polish
Form of verification: exam
ECTS credits: 3
Description:
The module Advanced IT techniques in medicine shall enable students learning IT techniques in medicine with special emphasis on the ways of image data acquiring, processing, coding, storing, and analysing. Owing to that students shall understand the role of digital techniques in the field of medical data processing and analysing by means of statistical methods and also based on heuristic methods to support decisions in medical systems. The introduction to modelling in biology and medicine is the second issue. Students will learn basic models of population and interactions between populations.
Prerequisites:
The achievement of effects of education of mathematics and IT techniques in medicine modules is recommended.
Key reading:
1.R. Tadeusiewicz, P.Korohoda, „Komputerowa analiza i przetwarzanie obrazów”, plik PDF 2. U.Foryś, Modelowanie matematycznew biologii i medycynie, plik PDF 3. D.Bourg, “Excel w nauce i technice”, Helion, 2006
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Learning the ways of image data acquiring, coding and storing for the needs of medicine. Learning principles of operation and the type of information delivered by selected measuring and diagnostic devices (X-ray, ultrasonograph, ECG, EEG, NMR) as well as principles of image processing; their qualitative and quantitative analysis [IM2A_PS3_ZIMED_1]
 IM2A_W11 [2/5] IM2A_W15 [2/5] IM2A_U01 [1/5]
Modelling in biology and medicine [IM2A_PS3_ZIMED_2]
 IM2A_W05 [3/5] IM2A_W11 [3/5]
Development of the awareness of IT role in the process of medical decisions making [IM2A_PS3_ZIMED_3]
 IM2A_K02 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Oral examination [IM2A_PS3_ZIMED_w_1]
Checking the theoretical knowledge provided during the lecture and deepened by own student's interests
 IM2A_PS3_ZIMED_1 IM2A_PS3_ZIMED_2 IM2A_PS3_ZIMED_3
Written report 1 [IM2A_PS3_ZIMED_w_2]
Report on the exercise carried out during classes (image processing) and expanded by the student on his/her own.
 IM2A_PS3_ZIMED_1
Written report 2 [IM2A_PS3_ZIMED_w_3]
Report on the exercise carried out during classes (simulation of a biological or medical process) and expanded by the student on his/her own.
 IM2A_PS3_ZIMED_2
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [IM2A_PS3_ZIMED_fs_1]
The lecture shall enable a look at sources (X-ray, ultrasonograph, ECG, EEG, NMR, tomography) and at acquiring medical data, mainly image data, and also at decision making based on qualitative, quantitative, statistical or supported by heuristic methods analyses. Moreover, student shall understand dynamic relationships between populations, based on modelling. The lecture is delivered with the use of multimedia and teaching programs.
 30
The work with the recommended literature comprising independent acquisition of knowledge related to basic issues.
 10 Oral examination [IM2A_PS3_ZIMED_w_1]
laboratory classes [IM2A_PS3_ZIMED_fs_2]
Practical resolution of problems based on examples. Learning the difference between various graphical files, mastering basics of image purification methods. Qualitative and quantitative analysis of image examples. Models of interactions between populations. Exercises are performed by students individually with the use of computers in the teaching laboratory.
 30
Preparation of theoretical basics and issues related to the topic of performed exercise. Individual and critical preparation of exercise results.
20 Written report 1 [IM2A_PS3_ZIMED_w_2]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)