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Welcome
to the Warsaw School of Economics
Master Studies
in Advanced Analytics – Big Data
First Semester Student Guide
Warsaw, 1st October 2016, Academic year 2016/2017
TABLE OF CONTENTS
Information about the Dean’s Office
How to declare courses on Master Studies?
Obligatory e-learning trainings on e-sgh platform
Information about scholarships
Our location and campus
INFORMATION ABOUT DEAN`S OFFICE
It is our immense pleasure to welcome you as a student of the first semester of Advanced Analytics – Big Data in Warsaw School of Economics in the winter semester of 2016/2017. We hope you will enjoy your studying here.
We are a team of sympathetic and helpful people to assist you in all matters concerning your education process and internal procedures. If you need any help, do not hesitate to contact us during our office hours.
Adam Karbowski, PhD - Vice Dean for IB students
e-mail: [email protected]
Paulina Łysakowska – Dean’s Office representative
e-mail [email protected]. phone (022) 564 98 84
HOW TO DECLARE COURSES ON MASTER STUDIES?
The time limit for the choice of courses for the winter semester 2016/2017 for you are from 26th till 29th September 2016 in Virtual Dean’s Office.
To choose your subjects please follow the instructions below.
1. The most important information is the plan of studies. Please read the table below carefully to choose your courses in a proper way.
2. All courses dedicated to Advanced Analytics – Big Data must be done in groups, as the table below shows:
3. Schedule for the first semester 2016/2017
SUBJECT TEACHER222111-1186 Labour economics dr Magda Iga
210111-0410 Business Law Prof. Nowak-Far Artur
223111-1234 Basic and Advanced Programming in SAS with Statistics
dr Przanowski Karol
223121-0090 Advanced and High Performance Data Mining
dr Ptak-Chmielewska Aneta
222081-0578 Institutional Economics dr Słomka-Gołębiowska Agnieszka
210101-0544 History of Economic Thought Prof. Sulejewicz Aleksander
224391-0723 Cloud computing dr Szufel Przemysław
223061-0639 Databases Build and Exploitation dr Wódz Danuta
4. Choice of courses deadlines for the winter semester 2016/2017 for students of Advanced Analytics – Big Data starting their first semester on 1st October 2016
HINTS TO CREATE YOUR SCHEDULE
From 26.09.2014 till 29.09.2014
In this period every student of Advanced Analytics – Big Data who starts their first semester of studies on 1st October 2016 is obliged to choose a lecture group and class group for the winter semester 2016/2017 by Virtual Dean’s Office in accordance to Teaching Schedule.When choosing lectures and classes make sure they do not overlap in your individual student’s schedule.
Please remember that:
• the ECTS points must total 120;
• to complete a semester and get the credit you need to obtain
minimum 30 ECTS points;
• the choice of courses is possible only through Virtual Dean`s
Office. There is no possibility to register for the winter semester
2016/2017 courses directly in the Master Studies Dean’s Office;
OBLIGATORY E-LEARNING TRAININGS ON E-SGH PLATFORM
Occupational Health and Safety Training (BHP), Library Training and Fundamentals of Intellectual Property Protection
We would like to invite he first semester students of first-degree and second-degree* studies to e-learning workshops:
Occupational Health Safety Training (BHP); Library Training; Fundamentals of Intellectual Property Protection .
Trainings are obligatory and free. In case trainings are not completed the student will not be granted credit for the first semester. The e-learning trainings will be activated on university website www.e-sgh.com on 1st October 2016 and closed on 8th November 2016. You should self-study all the training materials and pass the obligatory tests, following the instructions provided.You can enroll by filling in the form which can be found on:
http://www.e-sgh.com/course/library_bhp/Note:The students who have graduated from the first-degree studies at the Warsaw School of Economics and accomplished above mentioned trainings do not need to take the trainings again. Students can use the BHP and Library Training materials as well as complete the test at home or in the e-sgh laboratory, which is located in room 226 in the building G of WSE. The staff of The Centre for Development of Distance and Continuing Education are willing to help you and answer any questions concerning the e-learning trainings or using the platform.
Education Development Centre Dział Rozwoju Edukacji
INFORMATION ABOUT SCHOLARSHIPSYou can find the information about scholarship on the website of Students` Union. See details on http://esgieha.pl/ or write an e-mail to [email protected]
OUR LOCATION AND CAMPUS
The Warsaw School of Economics is conveniently situated in central Warsaw, adjacent to the city's largest park and next to the metro station "Pole Mokotowskie". It consists of seven buildings, including the newest one opened in December 2006 (building C). On the SGH campus, you can also find Poland’s largest economic library with a collection of over one million volumes.
Legend:
1. Building G (main building), al. Niepodległości 162 2. Building A (site of International Centre (CPM) - ul. Rakowiecka 24
3. Building F - al. Niepodległości 164
4. Building S - ul. Batorego 8
5. Library - ul. Rakowiecka 22 B
6. Building W - ul. Wiśniowa 41
7. Student dorm no. 1 "Sabinki" - al. Niepodległości 147
8. Building M - ul. Madalińskiego 6/8
9. Student dorm no. 3 "Grosik" - ul. Madalińskiego 31/33
10. "Park" students' club - al. Niepodległości 196
11. Building C - al. Niepodległości 128
12. Finance division - ul. Kielecka 43