Forecasting economic processes - a subject offered in English 330-ES2-2PPG#E
Study profile: General academic
Form of studies: full-time, second cycle studies
Subject type: Class Group_ 1 Basic subjects
Field: social sciences; discipline: economics and finance
Year of study/semester: 2nd year/3rd semester
Number of hours of teaching divided into types of classes: 15 hours of lecture and 30 hours of exercises
Teaching methods: Lecture - lecture using a multimedia presentation. Exercises: solving tasks using
Excel and Gretl programs, presentations of works using PowerPoint presentations
ECTS points: 3 points
Balance of student workload:
Participation in lectures 15 hours
Participation in exercises 30 hours
Preparation for the final exam 10h
Preparation for exercise 7 hours
Preparation of a paper: 5 hours
Participation in consultations 6 hours
2h exam
TOTAL student workload: 75 hours.
Quantitative indicators:
requiring direct teacher participation 53h 2.1 ECTS points
of a practical nature 0h 0 ECTS points
Type of course
Course coordinators
Learning outcomes
KNOWLEDGE
2PPE_W01 - The student knows and understands in-depth methods of obtaining, analyzing and presenting economic data and theirs
use of
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 economic entities from the real sphere and regulations
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 analyze the causes and course of phenomena using modeling and forecasting methods solve problems based on the obtained and analyzed data. (KP7_UW2)
2PPE_U02 - The student is able to model and then forecast complex economic processes and phenomena using
advanced methods and tools typical of economic sciences. (KP7_UW4)
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 arise or to use opinions
experts. (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)
Assessment criteria
Lecture:
Assessment based on a written test exam, 20 questions, 11 questions must be answered correctly. Admitted to the exam
there are only people who have passed the exercises.
Exercises:
Assessment based on a point system including:
- tasks solved during classes - 12x2 points = 24 points
- project (group work) - 10 points
- summary task - 16 points
2 absences are allowed, the rest must be made up 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% points - 5.0
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: