Decision support systems Field of study: Computer Science
Programme code: 08-S2INIA15.2019

Module name:	Decision support systems
Module code:	08-IN-ISI-S2-SWD
Programme code:	08-S2INIA15.2019
Semester:	winter semester 2020/2021
Language of instruction:	English
Form of verification:	course work
ECTS credits:	4
Description:	Aim of classes in this module is preparing the students to design and realize decision support systems basing on Bayes networks and other methods of knowledge representation.
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 construct decision support systems on the Genie platform basing on the Bayes simple and dynamic networks, can implement a decision support system in Java language, using SMILE library. [SWD -U _7]	K_U12 [1/5] K_U16 [2/5] K_U17 [1/5]
Can construct complex decision support systems realized with use of KNIME package, including time series prediction. [SWD -U _8]	K_U12 [1/5] K_U16 [2/5] K_U17 [1/5]
Possesses basic knowledge in the field of decision support systems [SWD -W_1]	K_W18 [1/5]
Possesses basic knowledge in the field of utility theory, use of deterministic criteria (by Hurwicz, Laplace) and non-deterministic ones (e.g. maximum of expected utility) in decision support systems. [SWD -W _2]	K_W18 [1/5]
Has basic knowledge in the field of Bayes networks and their use in decision support systems. [SWD -W _3]	K_W08 [1/5] K_W18 [2/5]
Has basic knowledge in the field of decision rules and their use in decision support systems. [SWD -W _4]	K_W18 [1/5]
Possesses basic knowledge in the field of sequence patterns and their use in decision support systems. [SWD -W _5]	K_W18 [1/5]
Possesses basic knowledge in the field of time series prediction as an element of a decision support system. [SWD -W _6]	K_W18 [1/5]

Type	Description	Codes of the learning outcomes of the module to which assessment is related
Credit [SWD _w_1]	Solving three theoretical tasks, also with computable character.	SWD -W_1 SWD -W _2 SWD -W _3 SWD -W _4 SWD -W _5 SWD -W _6
Presentation of independently implemented decision support system [SWD _w_2]	Effecting a decision support system using the chosen platform:1)Genie+Java+SMILE 2)Java+R 3) KNIME	SWD -U _7 SWD -U _8

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 [SWD _fs_1]	Presenting educational content in verbal form with use of content visualization. Focusing on conceptually complex material.	30	Familiarizing with lecture thematic.	10	Credit [SWD _w_1]
laboratory classes [SWD _fs_2]	Realization of project tasks using software packages Genie, KNIME	30	Analysis of the existing decision support systems. Implementation of the decision support system.	50	Presentation of independently implemented decision support system [SWD _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)