Forecasting sales - a subject offered in English 530-ZS1-2SPSP#E
Study profile: general academic
Form of studies: full-time
Type of subject: module 6b, specialized
Field: social sciences; discipline: management and quality sciences
Year of study/semester: 2nd year/4th semester
Entrance requirements (so-called sequential system of classes and examinations): knowledge of mathematics (530-ZS1-1MAT)
Number of hours of teaching divided into types of classes: 15 hours of lecture and 30 hours of exercises
ECTS points: 4 points
Balance of student workload - type of student activity (number of hours: 100h):
- participation in lectures: 15 hours
- participation in exercises: 30 hours
- preparation for the final exam and the colloquium beforehand: 17.5 hours
- preparation for exercises: 30 hours
- participation in consultations: 6h
- participation in the final exam: 1.5 hours
Quantitative indicators - student workload related to classes:
requiring direct teacher participation 52.5 hours (2.1 ECTS points).
Teaching methods:
monographic and conversational lectures with a multimedia presentation and presentation of examples, exercises in the form of solved tasks
on computers, especially using MS EXCEL and presentation of examples;
if synchronous online distance learning is necessary - use the EDUPORTAL platform;
Type of course
Course coordinators
Learning outcomes
Knowledge
2SPSP_W01 - The student knows and understands basic forecasting methods and IT tools (Excel, online databases)
collecting, analyzing and presenting sales data and constants and variables affecting it (KA6_WK6)
Skills
2SPSP_U01 - The student is able to correctly analyze and interpret the causes and course of the sales process, as well as the factors influencing it (based on forecasts and collected data) (KA6_UW1)
2SPSP_U02 - The student is able to obtain data for analyzing and forecasting sales using standard methods
tools in the field of management sciences (KA6_UW2)
2SPSP_U03 - The student is able to resolve decision-making dilemmas in the field of sales based on the received forecasts, interprets them
based on their knowledge and proposes appropriate solutions (KA6_UW4)
2SPSP_U04 - The student is able to analyze and interpret social phenomena in the organization's environment and understands their effects on the business
sales of the company (KA6_UW5)
Assessment criteria
Forms of passing the course:
- exercises: passing the grade: activity in classes, group project, passing the colloquium; it is necessary to obtain at least
51% of possible points;
- lectures: final exam (previously participation in lectures), to which students who have passed the exercises will be admitted;
test (it is necessary to obtain at least 51% of possible points).
Bibliography
Primary:
Nicolas Carnor, Vincent Koen and Bruno Tissot. Economic forecasting and policy,
Basingstoke, New York: Palgrave Macmillan, 2011.
Databases, including: NBP, ECB, GUS, Eurostat.
Cieślak Maria (red.), Prognozowanie gospodarcze. Metody i zastosowanie, PWN, Warszawa 2011.
Zeliaś Aleksander, Pawełek Barbara, Wanat Stanisław, Prognozowanie ekonomiczne. Teoria, przykłady, zadania, PWN, Warszawa 2008.
Complementary:
Barteczko Krzysztof, Bocian Andrzej F., Forecasting and simulations of economic processes, Wyd. UwB, Białystok 2010.
Nowak Edward, Outline of econometric methods, PWN, Warsaw 2006
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: