Undergraduate
Faculty of Economic and Administrative Sciences
Economics
Anlık RSS Bilgilendirmesi İçin Tıklayınız.Düzenli bilgilendirme E-Postaları almak için listemize kaydolabilirsiniz.


Time Series Analysis

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IKT0037 Time Series Analysis 2/0/0 DE Turkish 4
Course Goals
This course aims to teach how to choose the appropriate forecasting method under different demand conditions, to predict forecasting errors and to learn the relationship between forecast production planning. Students will learn about time series and time series estimation methods in this course.
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Assist. Prof. Dr. Hatice Nazan Çağlar
Course Assistant(s)
Schedule The course is not offered in this semester.
Office Hour(s)
Teaching Methods and Techniques Lecture, Discussion, Exercise, Case Studies, PP Presentation
Principle Sources Sevüktekin, M. & Nargeleçekenler, M. (2006). Ekonometrik Zaman Serisi Analizi: E-Views Uygulamalı. Nobel Akademik Yayıncılık.   Çekerol, G. S. & Ulukan, A. (2012). Kantitatif Tahmin Yöntemleri. Nisan Yayınları.    Yenersoy, G. (2015). Üretim Planlama ve Kontrol. Papatya Yayıncılık.
Other Sources Case studies and lecture notes to be given by the lecturer are among the other resource
Course Schedules
Week Contents Learning Methods
1. Week What is Time Series and Demand Forecasting? Lecture, Discussion, PP Presentation
2. Week The Importance of Forecast for Business Lecture, Discussion, PP Presentation
3. Week Qualitative Forecasting Methods Lecture, Discussion, PP Presentation
4. Week Delphi Method Lecture, Discussion, PP Presentation, Case Studies
5. Week Quantitative Estimation Methods Lecture, Discussion, PP Presentation
6. Week Stable Demand Methods Lecture, Discussion, PP Presentation
7. Week Stable Demand Methods Lecture, Discussion, PP Presentation
8. Week Increasing and Decreasing Demand Methods Lecture, Discussion, PP Presentation, Case Studies
9. Week Midterm Exam Week Assessment
10. Week Midterm Exam Week Assessment
11. Week Seasonal Demand Methods Lecture, Discussion, PP Presentation, Case Studies
12. Week Seasonal and Trend Including Forecasts Lecture, Discussion, PP Presentation, Case Studies
13. Week Estimating the prediction error Lecture, Discussion, PP Presentation, Case Studies
14. Week Estimating the tracking signal Lecture, Discussion, PP Presentation, Case Studies
15. Week Final Exam Week Assessment
16. Week Final Exam Week Assessment
17. Week Final Exam Week Assessment
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 50
Final Exam 1 50


Program Outcomes
PO-1To define his/her competencies using the theoretical and practical knowledge he/she acquired in the field of Economics and to use these competencies in practice.
PO-2To discuss concepts and ideas in the field of Economics with scientific methods, to develop hypotheses, to interpret and evaluate the data obtained.
PO-3To develop solution suggestions for complex and/or unpredictable problems encountered in practice, to report and present these suggestions in accordance with the academic publication rules.
PO-4To identify regional and global issues/problems, to perform analyses based on scientific data and research, and to develop solution suggestions.
PO-5To determine the learning needs in the field of Economics, to evaluate the acquired knowledge and skills with a critical approach, and to use this knowledge and skills to develop economic policies.
PO-6To inform relevant people and institutions on issues related to the field of Economics and to gain the ability to convey written and verbal solutions to problems.
PO-7To convey his/her thoughts and suggestions in the field of Economics to experts and non-experts by supporting them with quantitative and qualitative data, to discuss and to contribute to the development of new policies by revising suggestions according to the feedback he/she receives.
PO-8To benefit from other disciplines that form the basis of the field of Economics, to develop multidisciplinary approaches by associating these disciplines with his/her knowledge in the field of Economics, to produce project and publications.
PO-9To define the differences and relationships between classical and modern theories of economics and to observe the distinctions between classical and modern economic policies and to evaluate the compatibility of these policies with economic and social issues.
PO-10To read and comprehend foreing news sources about economics being fluent in a foreign language, to scan the economic literature and to follow the most current approaches in this field.
PO-11To take into account scientific and ethical values in the stages of collecting, interpreting and announcing economic data and carrying out statistical/econometric studies using these data, and also to carry out the publication process in accordance with academic publishing principles.
Learning Outcomes
LO-1To recognize increasing and decreasing demand forecast methods.
LO-2To understand seasonal demand forecast methods.
LO-3To calculate error of estimation.
LO-4To understand advanced estimation methods.
LO-5To explain time series and estimation methods.
LO-6To know steady demand forecast methods.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6