Undergraduate
Faculty of Economic and Administrative Sciences
Business Administration
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Analysis Of Time Series

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
ISL0065 Analysis Of Time Series 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) Dr. Öğretim Üyesi Hatice Nazan Çağlar
Course Assistant(s) Ress. Asst. Elanur Türküz
Schedule Wed. 18.00 - 19.50, Online (Through CATsv3)
Office Hour(s) Due to distance education, students need to contact their instructors via e-mail.
Teaching Methods and Techniques Online Lectures, power-point presentations, Discussion. 
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 resources
Course Schedules
Week Contents Learning Methods
1. Week What is Time Series and Demand Forecasting? Online Lectures, power-point presentations, discussion
2. Week The Importance of Forecast for Business Online Lectures, power-point presentations, discussion
3. Week Qualitative Forecasting Methods Online Lectures, power-point presentations, discussion
4. Week Delphi Method Online Lectures, power-point presentations, discussion
5. Week Quantitative Estimation Methods Online Lectures, power-point presentations, discussion
6. Week Stable Demand Methods Online Lectures, power-point presentations, discussion
7. Week Stable Demand Methods Online Lectures, power-point presentations, discussion
8. Week MIDTERM EXAM ONLINE EXAM
9. Week Increasing and Decreasing Demand Methods Online Lectures, power-point presentations, discussion
10. Week Seasonal Demand Methods Online Lectures, power-point presentations, discussion
11. Week Seasonal and Trend Including Forecasts Online Lectures, power-point presentations, discussion
12. Week Estimating the prediction error Online Lectures, power-point presentations, discussion
13. Week Estimating the tracking signal Online Lectures, power-point presentations, discussion
14. Week FINAL EXAM ONLINE EXAM
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Homework / Term Projects / Presentations 1 10
Final Exam 1 50


Program Outcomes
PO-1Demonstrates a basic level of understanding in related disciplines (such as economics, sociology, psychology, quantitative sciences, etc.) that form a foundation for business administration, and makes use of and applies them to the field of business.
PO-2Applies mathematical, scientific and social knowledge to business problems.
PO-3Demonstrates a basic level of understanding in business functions and management (such as management, production, marketing, accounting, finance, human resources, behavioural sciences, etc.) and interprets the theoretical arguments focusing on interactions between the actors and the cultures in the field.
PO-4Determines how to use acquired theoretical and practical knowledge and skills related to business in application and field analysis and applies them.
PO-5Identifies and evaluates the relations in the field of business; describes the problems and presents analytical solutions through modelling and interpreting (critical thinking).
PO-6Designs a business process in any functional stage that complies with identified objectives.
PO-7Develops effective business communication skills (written-verbal/formal-informal).
PO-8 Owns effective working skills individually or on a team in business and multidisciplinary fields.
PO-9Acts with a sense of professional and ethical responsibility.
PO-10Improves effective verbal and written communication skills in Turkish, and acquires competence in minimum one foreign language.
Learning Outcomes
LO-1Increasing and decreasing demand forecast methods
LO-2Seasonal demand forecast methods
LO-3Calculating the estimation error
LO-4Understanding of forward estimation methods
LO-5Time series and estimation methods
LO-6Steady demand forecast methods
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6