Computer Graphics and Multimedia Field of study: Computer Science
Programme code: 08-S2INIA15.2016

Module name: Computer Graphics and Multimedia
Module code: 08-IN-BIO-S2-GKiM
Programme code: 08-S2INIA15.2016
Semester: summer semester 2017/2018
Language of instruction: English
Form of verification: course work
ECTS credits: 3
Description:
Material from the module: Computer Graphics and Multimedia requires knowledge and understanding of theoretical bases and gaining practical skills of this knowledge use. Theoretical bases are mostly assimilation and understanding of basic notions connected with the subject, acquisition of associating skills and using the discussed issues. It is also the skill of sufficiently effective and fast finding of the required information in literature. Practical skills are acquired by analysis of the example algorithms and independent tasks solving. Thus, the module constitutes a connection between theoretical knowledge, general examples and the skill of the chosen methods (issues) profiling in practical use.
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]
Calculates and interprets discreet signals parameters. [GKiM -K_6]
 K_2_A_I_K01 [1/5]
Performs individual and team works. [GKiM -K_7]
 K_2_A_I_K06 [1/5]
Solves tasks covering the range of signals processing. [GKiM -U_4]
 K_2_A_I_U01 [1/5]
Justifies obtained results. [GKiM -U_5]
 K_2_A_I_U05 [2/5]
Programs and activates programs in Matlab package. [GKiM -U_8]
 K_2_A_I_U01 [4/5]
Differentiates and classifies signals. [GKiM -W_1]
 K_2_A_I_W01 [2/5]
Explains basic methods, techniques, tools and materials used in signals processing. [GKiM -W_2]
 K_2_A_I_W03 [2/5] K_2_A_I_W08 [2/5]
Classifies literature data and other information from various sources referring to signals analysis. [GKiM -W_3]
 K_2_A_I_W15 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Test [GKiM _w_1]
Within the module, three tests will be effected, which will refer to subsequent stages of module assimilation: - definitions, signals classifications, Fourier series and signals frequency analysis; - parametrical and non-parametrical window functions and FIR and IIR filters; - advanced methods of signals frequency analysis. During all the tests, the student performs practical implementation of 4 given algorithms in Matlab environment.
GKiM -K_6 GKiM -U_4 GKiM -U_5 GKiM -U_8 GKiM -W_1 GKiM -W_2
Short test [GKiM _w_2]
Before classes, the student solves the given problem verifying assimilation of knowledge from the previous class.
 GKiM -U_4 GKiM -W_1 GKiM -W_2
Project [GKiM _w_3]
Within the module, three independent projects will be executed by the student which will be connected with three major sections: Fouries series, FIR filters and advanced frequency analysis.
 GKiM -K_6 GKiM -K_7 GKiM -U_5 GKiM -U_8 GKiM -W_1 GKiM -W_2 GKiM -W_3
Credit [GKiM _w_4]
Credit in the form of a test covering issues discussed during lectures and laboratory classes.
 GKiM -K_6 GKiM -K_7 GKiM -U_4 GKiM -U_5 GKiM -U_8 GKiM -W_1 GKiM -W_2 GKiM -W_3
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 [GKiM _fs_1]
Presenting methods of digital signals analysis and processing in Matlab software with special emphasis on their practical implementation. Discussing definitions and signals classification, ways of their representation, Fourier series, frequency parametrical and non-parametrical window functions, FIR and IIR digital filters and advanced methods of signals analysis.
 15
Students’ work with indicated literature of subject and lecture materials covering practical implementation of algorithms and necessary theoretical foundations. The work is individual assimilation of knowledge discussed during lectures.
 5 Credit [GKiM _w_4]
laboratory classes [GKiM _fs_2]
The teacher analyzes together with students algorithms and signals analysis methods in practical implementation, which were discussed during lectures. The students individually solve the given problems from the range of signals analysis.
45
Student is obliged to be prepared by assimilating theoretical knowledge presented during the lecture and by reading literature. Student executes in a team three project tasks connected with practical implementation of the signals analysis algorithm in Matlab software.
25 Test [GKiM _w_1] Short test [GKiM _w_2] Project [GKiM _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)