Wprowadzenie do programowania w Pythonie dla ekonomistów - przedmiot oferowany w języku angielskim 330-EN2-2PRP#A
Study profile: General academic
Form of studies: part-time
Group 3 MAJOR SUBJECTS
Field of science: social sciences; discipline of science: economics and finance
Year of study/semester: II/4
Entry requirements: none
The number of teaching hours with the division into the forms of teaching: seminar 9 h
Teaching methods: seminars supported by multimedia presentations engaging listeners to discuss and ask questions. Seminars require active participation of students, above all: individual and group activity, essay and doing tasks in a specialized programs (Python and PyCharm).
ECTS points: 2
Student workload balance:
– participation in seminars – 9h
– preparation for seminars – 21h
– studying literature and other materials – 10h
– participation in consultations – 10h
TOTAL: 50h (1 ECTS = 25 hours).
Quantitative indicators:
Student workload related to the course:
– requiring the direct participation of the teacher – 19h / 0,76 pkt ECTS.
Rodzaj przedmiotu
Koordynatorzy przedmiotu
Efekty kształcenia
SKILLS
2PRP_U01 - the graduate is ready to communicate on specialist topics with various audiences, lead a debate on a specific topic using English at B2+ level, including specialist terminology in the field of Python programming and its use in the area of economics and finance. - KP7_UK1
2PRP_U02 - the graduate is ready to work in a team, including taking a leading role in cooperation with other people in the preparation of written works and/or oral presentations on the use of Python in the work of an economist and opportunities for personal development in the indicated area. - KP7_UO1
SOCIAL COMPETENCES
2PRP_K01 - the graduate is ready to critically evaluate the knowledge, skills and content received in the area of Python programming in order to further, independently supplement and improve the acquired knowledge and skills. - KP7_KK5
Kryteria oceniania
Teaching methods: seminars supported by multimedia presentations engaging listeners to discuss and ask questions.
Seminars require active participation of students, above all: individual and group activity, essay and doing tasks in a specialized programs (Python and PyCharm).
Assessment based on individual and group activity, essay and discussion. To pass the subject you must obtain a minimum of 51% of total number of points.
The general conditions are specified in the Study Regulations of the University of Białystok (Announcement No. 2/2024 of the Rector of the University of Białystok of 21 May 2024 on the announcement of the consolidated text of Resolution No. 2424 of the Senate of the University of Białystok of 22 May 2019 on the Study Regulations of the University of Białystok).
Literatura
https://www.python.org/
L. Vaughan, Python mniej poważnie. Zabawne projekty programistyczne, które zwiększą twoje umiejętności, Wydanie I, PWN, Warszawa 2020
Y. Hilpisch, Finanse i Python. Łagodne wprowadzenie do teorii finansów, Helion, Gliwice 2022
P. Bruce, A. Bruce, P. Gedeck, Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python, Wydanie II, Helion, Gliwice 2021
A. Korczyński, Modelowanie statystyczne dla biznesu. Teoria i zastosowania z wykorzystaniem SAS Viya, R i Python, Oficyna Wydawnicza SGH, Warszawa 2023
Materials provided during classes by the course teacher.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: