Course outline
General Information:
School: Economics & Social Sciences
Department: Business Administration
Level of Studies: Undergraduate
Course code: 806
Semester: H
Course title: Business Forecasts
ECTS: 5
Weekly teaching hours: 4
Type of course: elective
Prerequisite courses: No
Language of instruction and exams: Greek
The course is offered to Erasmus students: No
Course URL: —
Learning outcomes & General Skills:
- Search, analysis and synthesis of data and information, using the necessary technologies
- Adaptation to new situations
- Decision making
- Autonomous work
- Teamwork
- Work in an international environment
- Work in an interdisciplinary environment
- Generating new research ideas
- Project planning and management
- Respect for diversity and multiculturalism
- Respect for the natural environment
- Demonstration of social, professional and ethical responsibility and sensitivity to gender issues
- Development of criticism and self-criticism
- Promotion of free, creative and inductive thinking
- Other skills
Moreover, the course aims to develop the following general skills:
- Critical ability and self-criticism
- Ability to cooperate
- Interpersonal skills
- Search data using the necessary technologies
Course Content:
- Introduction to forecasting (categories of forecasting methods, qualitative characteristics of time series, forecasting process)
- Preparation and analysis of time series (graphical representation of data, statistical analysis of data)
- Error indices, Decomposition of time series
- Special events and actions
- Categories of forecasts (statistical, critical and objective)
- Prediction horizon, Confidence intervals
- Forecasting process in business
- Exponential smoothing method (constant level, linear trend, non-linear trend, and seasonal smoothing models)
- Regression models (simple and multiple linear regression), Intermittent demand data, Intermittent demand forecasting methods (Croston, SBA and ADIDA methods)
- Choice of forecasting method
- Combination of forecasting methods
- Critical forecasting, Long-term forecasting
- Scenarios
Teaching & Learning Methods - Evaluation
- Method of delivery: face-to-face
- Use of information and communication technologies: Use of information and communication technologies in teaching, laboratory education, communication with students. Electronic communication with students, learning-process support through the “e-class” online platform.
Activities & Semester Workload
Lectures: 13
Laboratory practice: 26
Study of references: 40
Submission of assignments: 40
Exam preparation: 40
Final exams: 2
Total: 161