Forecasting and simulations in international trade 330-MS2-2PRO#E
Profile of studies: General academic
Form of studies: full-time
Type of course: compulsory, module 1
Year of study / semester: 2nd year / 3rd semester
Entry requirements (the so-called sequential system of classes and exams): Knowledge of Econometrics 2 (0300-ES2-1EC2)
Number of teaching hours with the division into the forms of teaching: 15 hours of lectures and 30 hours of exercises
ECTS points: 6 points
ECTS points: 6 points
Balance of student workload:
Type of student activity Number of hours (150h)
Participation in lectures 15h
Participation in exercises 30h
Preparation for the final exam 30h
Preparation for exercises 60h
Preparation to pass the exercises 30h
Exam 1h
Quantitative indicators:
Student workload related to the classes: Number of hours. ECTS credits
requiring the direct participation of the teacher 36h 1.44 ECTS points
of a practical nature 20h 0.80 ECTS points
Type of course
Mode
Learning outcomes
KNOWLEDGE
2PPE_W01 - The student has in-depth knowledge of the acquisition, analysis and presentation of economic data and their use with
using prognostic and statistical methods and tools, with particular emphasis on economic modeling methods
(KP7_WG5)
2PPE_W02 - The student has in-depth knowledge of the analysis of processes taking place in business entities from the real sphere and
regulation
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 with the use of
advanced methods and tools characteristic of economic sciences. (KP7_UW4)
2PPE_U02 - The student is able to analyze the causes and course of phenomena with the use of modeling and forecasting methods and
to 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 emerge, or to use expert opinions. (KP7_KK3)
2PPE_K02 - The student is ready to assess the state of his knowledge, identify gaps and obtain missing elements from appropriate
sources of knowledge and skills in the field of economic forecasting. (KP7_KK5)
Assessment criteria
Grading scale:
USOSweb: Szczegóły przedmiotu: 330-ES2-2PPE#E, w cyklu: 2023, jednostka dawcy:
Strona 2 z 4 23.03.2023 13:17
0-50% of 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
Bibliography
Nicolas Carnor, Vincent Koen and Bruno Tissot. Economic forecasting and policy, Basingstoke, New York: Palgrave Macmillan, 2011.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: