Image processing algorithms in biometrics and bioinformatics Field of study: Computer Science
Programme code: W4-S2IN19.2020

Module name: Image processing algorithms in biometrics and bioinformatics
Module code: W4-IN-S2-20-F-APOBB
Programme code: W4-S2IN19.2020
Semester:
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: Polish
Form of verification: course work
ECTS credits: 4
Description:
The aim of the course is to introduce students to image processing algorithms used in biometrics and bioinformatics.
Prerequisites:
(no information given)
Key reading:
1. Sandipan Dey, "Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data", Packt, 2018. 2. Anil K. Jain, et al., "Handbook of Biometrics", Springer, 2008. 3. Juan Caballero, "Hands-On Bioinformatics with Python", Packt, 2019.
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]
The student knows and is able to explain the operation of methods of image processing in biometrics and bioinformatics. [M_001]
 K_W02 [5/5]
The student is able to prepare a presentation devoted to thematic issues. [M_002]
 K_U04 [5/5]
The student is able to analyze and solve the problems of image processing in biometrics and bioinformatics. [M_003]
 K_U09 [5/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Written test. [W_001]
Theoretical questions concerning the issues discussed in the lecture.
 M_001
Presentation of the set topic. [W_002]
Preparation of a presentation related to the topic of the lectures.
 M_002
The test in oral form. [W_003]
Discussion on a given topic related to image processing in biometrics and bioinformatics.
 M_003
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 [Z_001]
The content of the lecture will be available in the multimedia form. Issues related to the topic will be presented.
 15
Getting to know the topics presented in the lecture. Preparing for the exam on your own.
 30 Written test. [W_001] Presentation of the set topic. [W_002] The test in oral form. [W_003]
laboratory classes [Z_002]
Preparation of appropriate tools for implementation of design applications. Solving tasks specified by the teacher.
 30
Implementation of a given project at home or on computers at the Institute.
 45 Written test. [W_001] Presentation of the set topic. [W_002] The test in oral form. [W_003]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)