University of Warsaw - Central Authentication System

(in Polish) Business Intelligence

General data

Course ID:	2600-IBP-BI
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	(unknown)
Name in Polish:	Business Intelligence
Organizational unit:	Faculty of Management
Course groups:	(in Polish) Przedmioty dla 2 roku, 3 sem., stacjonarne, IBP (Nowy Program ważny od 2022/2023)
ECTS credit allocation (and other scores):	2.00 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language:	English
Type of course:	obligatory courses
Short description:	1. Lecture part contains subjects: a. Introduction to Business Intelligence Systems b. Technobabble: Components of a Business Intelligence Architecture 2. Practical part contains subjects: a. Import Data from Access Database b. Power BI Desktop Modelling c. Desktop Visualization
Full description:	1. Lecture part contains subjects: a. Introduction to Business Intelligence Systems b. Technobabble: Components of a Business Intelligence Architecture 2. Practical part contains subjects: a. Import Data from Access Database b. Power BI Desktop Modelling c. Desktop Visualization
Bibliography:	Successful Business Intelligence; Second Edition; Unlock the Value of BI & Big Data; Cindi Howson
Learning outcomes:	After completing the course, it is assumed that the student will be able to characterize the concept of Business Intelligence and its key elements. In the practical area, it is assumed that the student will use the MS Power BI application at a basic level.
Assessment methods and assessment criteria:	Exercise in MS Power BI application. 60% pass.

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO KON TU KON W KON TH KON FR KON
Type of class:	Seminar, 14 hours more information
Coordinators:	Marek Zborowski
Group instructors:	Marek Zborowski
Students list:	(inaccessible to you)
Examination:	Course - Grading Seminar - Grading

Course descriptions are protected by copyright.
Copyright by University of Warsaw.