Forecasting sales 450-ZN1-2SPSP
Profile of studies: general academic
Form of studies: full-time
Type of course: module 6b, specialization
Field: social sciences; discipline: management and quality sciences
Year of studies / semester: 2nd year / 4th semester
Entry requirements (the so-called sequential system of classes and exams): knowledge of mathematics (0300-ZS1-1MAT)
Number of teaching hours with the division into the forms of teaching: 15 hours of lectures and 30 hours of exercises
ECTS points: 4 points
Balance of student workload - type of student activity (number of hours: 100h):
- participation in lectures: 9h
- participation in exercises: 18h
- preparation for the final exam and earlier test: 23.5h
- preparation for exercises: 39h
- participation in consultations: 6h
- participation in the final exam: 1.5h
Quantitative indicators - student workload related to the classes:
- requiring the teacher's direct participation 52.5h (2.1 ECTS points)
- of a practical nature 30 1.2 points
Teaching methods:
monographic and conversational lecture with a multimedia presentation and presentation of examples, exercises in the form of solved tasks
on computers, especially with the use of MS EXCEL and presentation of examples;
in case of the necessity of synchronous online remote education - use of the EDUPORTAL platform
Type of course
Course coordinators
Mode
Learning outcomes
Knowledge
2SPSP_W01 - The student knows and understands the basic methods of forecasting and IT tools (Excel, internet databases)
collecting, analyzing and presenting data in the field of sales and the 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 factors
influencing it (based on forecasts made and collected data) (KA6_UW1)
2SPSP_U02 - The student is able to obtain data for analyzing and forecasting sales using standard methods and
tools in the field of management science (KA6_UW2)
2SPSP_U03 - The student is able to resolve decision dilemmas in the field of sales on the basis of received forecasts, interpret them
based on its knowledge and proposes appropriate solutions (KA6_UW4)
2SPSP_U04 - The student is able to analyze and interpret social phenomena from the environment of the organization and understand their effects on the activities
company sales (KA6_UW5)
Assessment criteria
Forms of completing the course:
- exercises: getting credit with a grade on the basis of the tasks solved during the exercises and a test (active participation in classes, project
group, passing a test);
- lectures: final exam (earlier participation in lectures) to which students who have passed the exercises will be admitted.
Bibliography
Basic:
Barteczko Krzysztof, Bocian Andrzej F., Prognozowanie i symulacje procesów gospodarczych, Wyd. UwB, Białystok 2010.
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.
Additional:
Nicolas Carnor, Vincent Koen and Bruno Tissot. Economic forecasting and policy, Basingstoke, New York: Palgrave Macmillan, 2011.
Nowak Edward, Zarys metod ekonometrii, PWN, Warszawa 2006.
Bazy danych, w tym: NBP, ECB, GUS, Eurostatu.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: