Specialization project II Field of study: Computer Science
Programme code: 08-S2INIA15.2019

Module name:	Specialization project II
Module code:	08-IN-GWK-S2-PS2
Programme code:	08-S2INIA15.2019
Semester:	summer semester 2020/2021
Language of instruction:	English
Form of verification:	course work
ECTS credits:	2
Description:	This module enables the student to gain the skill of programming advanced algorithms of multiresolution image processing .
Prerequisites:	(no information given)
Key reading:	(no information given)

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]
Can work in a team of two and divides work properly. [PS2-K_8]	K_U02 [1/5]
Can implement basic algorithms of image processing. [PS2-U_5]	K_U01 [1/5] K_U12 [1/5] K_U13 [1/5] K_U15 [1/5] K_U19 [1/5] K_U20 [1/5]
Can implement basic algorithms of video image processing. [PS2-U_6]	K_U01 [1/5] K_U10 [1/5] K_U12 [1/5] K_U13 [1/5] K_U15 [1/5]
Can give a presentation of the executed project. [PS2-U_7]	K_U02 [1/5] K_U03 [1/5] K_U04 [1/5]
Has basic knowledge of image processing . [PS2-W_1]	K_W03 [1/5] K_W15 [1/5] K_W16 [1/5]
Has basic knowledge of image segmentation in real time. [PS2-W_2]	K_W15 [1/5] K_W16 [1/5]
Possesses basic knowledge about lossy and loseless compression . [PS2-W_3]	K_W15 [1/5] K_W16 [1/5]
Possesses basic knowledge of video coding standards. [PS2-W_4]	K_W10 [1/5] K_W15 [1/5] K_W16 [1/5]

Type	Description	Codes of the learning outcomes of the module to which assessment is related
Test [PS2_w_1]	Checking theoretical knowledge during laboratory class.	PS2-W_1 PS2-W_2 PS2-W_3 PS2-W_4
Project [PS2_w_2]	Preparing the project on the given topic, connected with multiresolution image analysis.	PS2-K_8 PS2-U_5 PS2-U_6
Presentation [PS2_w_3]	Preparing and giving the project presentation.	PS2-K_8 PS2-U_7

Form of teaching			Student's own work		Assessment of the learning outcomes
Type	Description (including teaching methods)	Number of hours	Description	Number of hours
laboratory classes [PS2_fs_1]	Computer classes in the form of implementation of algorithms for image processing and recognition.	30	Individual preparation for the laboratory class.Familiarizing with project thematic and executing the project individually or in teams of two. Preparing a presentation describing project subject matter.	30	Test [PS2_w_1] Project [PS2_w_2] Presentation [PS2_w_3]

Attachments
Module description (PDF)

Information concerning module syllabuses might be changed during studies.

Syllabuses (USOSweb)
Semester	Module	Language of instruction
(no information given)