SylabUZ
| Course name | ECONOMIC FORECASTING |
| Course ID | 04.0-WZ-P-EF-S18 |
| Faculty | Faculty of Economics and Management |
| Field of study | WEiZ - oferta ERASMUS |
| Education profile | - |
| Level of studies | Erasmus programme |
| Beginning semester | winter term 2023/2024 |
| Semester | 1 |
| ECTS credits to win | 5 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 15 | 1 | - | - | Exam |
| Class | 30 | 2 | - | - | Credit with grade |
Students can build the prognostic system for the enterprise, they know forecasting methods and choose a suitable method for solving a problem. Students can built forecasts and evaluate their quality.
Knowing economics, mathematics and statistics.
Classes: Students solve practical problems with methods presented during lectures. These methods are: Simple regression, Regression with time series data, Judgmental forecasting (The Delphi method, Forecasting by analogy, Scenario forecasting, Forecasting for new products), Exponential smoothing, Simple exponential smoothing, Holt’s linear trend method, Exponential trend method, Holt-Winters seasonal method, Students work individually or in a group.
Lectures: Simple regression, Regression with time series data, Judgmental forecasting (The Delphi method, Forecasting by analogy, Scenario forecasting, Forecasting for new products), Exponential smoothing, Simple exponential smoothing, Holt’s linear trend method, Exponential trend method, Holt-Winters seasonal method,
Conventional lecture, solving problems, group work, classical problem method, discussion, brainstorming, exchange of ideas.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Conditions of ranking for exercises: a positive mark in the test (min. 60%) Conditions of ranking for lectures: a positive mark in the writing exam (min. 60%)
Lecturer: a.gondek@wez.uz.zgora.pl
Modified by dr inż. Anna Łobos (last modification: 31-05-2023 20:01)
