(in Polish) Inżynieria i analiza Big Data-wykład

General data

Course ID:	WSE-BD-IABD-I-w
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	(unknown)
Name in Polish:	Inżynieria i analiza Big Data-wykład
Organizational unit:	Faculty of Social and Economic Sciences
Course groups:
ECTS credit allocation (and other scores):	0 OR 2.00 (depends on study program) 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. view allocation of credits
Language:	(unknown)
Subject level:	elementary
Learning outcome code/codes:	(in Polish) Zgodnie z programem studiów uchwalonym przez Senat UKSW: https://monitor.uksw.edu.pl/docs/search BDAS2_W05, BDAS2_W07, BDAS2_W16

Time span:	2023-10-01 - 2024-01-31	Selected timetable range: weekly course term Navigate to timetable MO TU W TH FR WYK2
Type of class:	Lectures, 15 hours, 28 places more information
Coordinators:	Dawid Szarański
Group instructors:	Dawid Szarański
Students list:	(inaccessible to you)
Examination:	Course - examination Lectures - examination
Type of subject:	obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:	(in Polish) nie dotyczy

Course descriptions are protected by copyright.
Copyright by Cardinal Stefan Wyszynski University in Warsaw.