Cycle of education: 2019/2020
The name of the faculty organization unit: The faculty Mathematics and Applied Physics
The name of the field of study: Engineering and data analysis
The area of study: sciences
The profile of studing:
The level of study: first degree study
Type of study: full time
discipline specialities :
The degree after graduating from university: engineer
The name of the module department : Department of Electrical and Computer Fundamentals
The code of the module: 12331
The module status: mandatory for teaching programme
The position in the studies teaching programme: sem: 4 / W15 L15 / 2 ECTS / Z
The language of the lecture: Polish
The name of the coordinator 1: Witold Posiewała, PhD, Eng.
The name of the coordinator 2: Bogdan Kwiatkowski, PhD, Eng.
The main aim of study: Concept of data warehouse, OLAP architecture and issues related to Data Manning. Introduction of key concepts, definitions and areas of Business Intelligence applications. Architecture of the Business Intelligence system.
The general information about the module: The subject discusses the construction of decision support systems, technology of multidimensional data sources and interfaces of such systems.
1 | Pelikant A. | Hurtownie danych. Od przetwarzania analitycznego do raportowania | Helion. | 2011 |
2 | Surma J. | Business Intelligence. Systemy wspomagania decyzji biznesowych | PWN. | 2010 |
3 | Ch. Todman | Projektowanie hurtowni danych | WNT, Warszawa. | 2003 |
Formal requirements: The student satisfies the formal requirements set out in the study regulations.
Basic requirements in category knowledge: He knows the relational databases, has basic knowledge about the functioning of web applications.
Basic requirements in category skills: He can use the SQL language. He can detect and use relationships in database tables.
Basic requirements in category social competences: He can participate in laboratory classes.
MEK | The student who completed the module | Types of classes / teaching methods leading to achieving a given outcome of teaching | Methods of verifying every mentioned outcome of teaching | Relationships with KEK | Relationships with PRK |
---|---|---|---|---|---|
01 | He knows what data warehouses are and can use open source tools to create them. | lecture / lab | observation of performance, pass |
K_W06+ K_U07+ K_K02+ |
P6S_KK P6S_KO P6S_UW P6S_WG |
02 | He knows the concept of a multidimensional data source and can create it | lecture / lab | observation of performance, pass |
K_W07+ K_U07+ |
P6S_UW P6S_WG |
03 | He knows the key concepts, definitions and areas of Business Intelligence applications | lecture | pass |
K_W11+ K_U17+ K_U18+ K_K02+ |
P6S_KK P6S_KO P6S_UW P6S_WK |
04 | He is able to use the reporting and analytical application | lecture / lab | observation of performance, pass |
K_W07+ K_U07+ K_K02+ |
P6S_KK P6S_KO P6S_UW P6S_WG |
Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).
Sem. | TK | The content | realized in | MEK |
---|---|---|---|---|
4 | TK01 | W1 | MEK01 | |
4 | TK02 | W2,L1-3 | MEK01 MEK02 | |
4 | TK03 | W3,W4,L4-5 | MEK01 MEK02 | |
4 | TK04 | W5,L6 | MEK02 MEK03 | |
4 | TK05 | W6 | MEK03 | |
4 | TK06 | W7,L7 | MEK04 | |
4 | TK07 | L1-L7 | MEK01 MEK02 MEK03 MEK04 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 4) | The preparation for a test:
20.00 hours/sem. |
contact hours:
15.00 hours/sem. |
|
Laboratory (sem. 4) | contact hours:
15.00 hours/sem. |
||
Advice (sem. 4) | The participation in Advice:
2.00 hours/sem. |
||
Credit (sem. 4) | The preparation for a Credit:
4.00 hours/sem. |
The written credit:
2.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | Assessment issued on the basis of credit / test. |
Laboratory | Assessment based on observation of performance and pass / test. |
The final grade |
Required during the exam/when receiving the credit
(-)
Realized during classes/laboratories/projects
(-)
Others
(-)
Can a student use any teaching aids during the exam/when receiving the credit : no