Prognozowanie procesów ekonomicznych - przedmiot oferowany w języku angielskim 330-ES2-2PPE#E
Study profile: General academic
Form of study: full-time
Type of course: compulsory, module 1
Field: social sciences; discipline: economics and finance
Year of study/semester: 2nd year/3rd semester
The number of hours of didactic classes, broken down into the forms of conducting classes: 15 hours of lectures and 30 hours of exercises
ECTS points: 6 points
ECTS points: 6 points
Student workload balance:
Participation in lectures 15h
Participation in exercises 30h
Preparation for the final exam 30h
Studying literature 28 hours
Preparation for exercise 20h
Preparation of the paper: 10h
Preparation for passing exercises 20h
Participation in consultations 5h
2h exam
TOTAL student workload: 150 hours.
Quantitative indicators:
requiring the direct participation of the teacher 52h 2.1 ECTS points
of a practical nature 20h 0.80 ECTS points
Rodzaj przedmiotu
Koordynatorzy przedmiotu
Efekty kształcenia
KNOWLEDGE
2PPE_W01 - The student knows and understands in depth the methods of obtaining, analyzing and presenting economic data and their use from
using forecasting and statistical methods and tools, with particular emphasis on economic modeling methods
(KP7_WG5)
2PPE_W02 - The student knows and understands in depth the processes taking place in business entities from the real and regulatory sphere
with particular emphasis on the dynamics of changes in these processes, structures and institutions, and on the regularities governing these processes, with particular emphasis on forecasting these changes.
(KP7_WG7)
SKILLS
2PPE_U01 - The student is able to model and then forecast complex economic processes and phenomena using
advanced methods and tools characteristic of economic sciences. (KP7_UW4)
2PPE_U02 - The student is able to analyze the causes and course of phenomena using modeling and forecasting methods and solve problems based on the obtained and analyzed data. (KP7_UW2)
SOCIAL COMPETENCE
2PPE_K01 - The student is ready to acquire and use knowledge in the field of modeling and forecasting methods to solve cognitive problems and is ready to deepen it as new challenges and problems appear, or to use expert opinions. (KP7_KK3)
2PPE_K02 - The student is ready to assess the state of his knowledge, identify gaps and obtain its missing elements from appropriate sources of knowledge and skills in the field of economic forecasting. (KP7_KK5)
Kryteria oceniania
Lecture:
Assessment based on written test exam, 20 questions, 11 questions must be answered correctly. Only those who have passed the exercises are allowed to take the exam.
Exercises:
Evaluation based on a point system including:
- tasks solved during classes - 12x2 points = 24 points
- project (group work) - 10 points
- summary task - 16 points
Allowed 2 absences, the remaining ones must be passed during consultations.
Grading scale:
0-50% points - 2.0
51-60% of points - 3.0
61-70% of points - 3.5
71-80% of points - 4.0
81-90% of points - 4.5
91-100% of points - 5.0
Literatura
Nicolas Carnor, Vincent Koen and Bruno Tissot. Economic forecasting and policy, Basingstoke, New York: Palgrave Macmillan, 2011.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: