Intelligent Data-driven Systems Field of study: Computer Science
Programme code: 08-S2INIA15.2019

Module name: Intelligent Data-driven Systems
Module code: 08-IN-ISI-S2-TiWO
Programme code: 08-S2INIA15.2019
Semester: summer semester 2020/2021
Language of instruction: English
Form of verification: course work
ECTS credits: 2
Description:
During classes and assignments student gains knowledge, competncies and skills necessary for dashboards designing and developing for the purpose od decission support in the enterprise. During classes student acquaints the principles and approaches allowing to create dashboards with different tools.
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]
The student understands the necessity of self-learning ando developing IT skills with the use of modern teaching techniques [K_8]
 K_U05 [2/5] K_K01 [1/5]
The Student is able to use current BI tools , design, develop and implement dashboards that suits certain needs [U_4]
 K_W08 [3/5] K_W21 [4/5]
The Student is able to design and develop dashboards, using a wide range of of methods: statistical, data mining and artificial intelligence. Student is also able to make appropraite visual analytics design (graphical design, chart type, fact sheets. [U_5]
 K_W08 [2/5] K_U10 [2/5]
The Student is able to choose appropriate software and tools for dashboards creation for certain needs, is able to describe user needs with the use of user stories, and use them to design data flow and data presentation [U_6]
 K_W08 [3/5] K_W14 [1/5]
The Student is able to load data to dashboard from local and remote data sources [U_7]
 K_W08 [3/5]
The student knows the idea of BI systems, their application and tools for their creation. Knows the rules of its usage, rules of dashboards design taking into acount pronciples of data visualization, storytelling and reports design. [W_1]
 K_W08 [4/5] K_W19 [3/5]
The student is aware of importance of supporting processes and business decisions and tuning dashboards to user needs [W_2]
 K_W08 [3/5]
The student knows tha basis of statistical analyses, chart types, AI algorithms and data mining approach. [W_3]
 K_W08 [3/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Scored final project, project presentation and defence [TiWO -w_1]
Designing and developing data-driven project with dashboard interface.
 K_8 U_4 U_5 U_6 U_7 W_1 W_2 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
laboratory classes [TiWO -fs_1]
Recall and completion general knowledge concerning statistical analyses, artificial intelligence and data mining. Labs in a form of a workshop with gradually increasing difficulty level, with collaterally introduced additional theoretical informations. Basic info about user stories. Pointing the specific needs of business problems. Analysing and discussing issues appearing during project. Knowledge transfer with the support of distance-learning system (Moodle)
 30
Self-study, reading additional resources, scripting, hands-on with tools, preparing reports and essays, final project design and development.
 30 Scored final project, project presentation and defence [TiWO -w_1]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)