GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
TIME SERIES ANALYSIS/İST-402
Course Title: TIME SERIES ANALYSIS
Credits 4 ECTS 8
Semester 8 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Prof.Dr.Mustafa Y. Ata,Prof. Dr. Mehmet Akif BAKIR
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  myata@gazi.edu.tr, mabakir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
1. To have basic knowledgeculture analysis of time series
2. To be capable of analyzing and modeling a time series
3. Time series analysis by using a statistical software






 -- MODE OF DELIVERY
  The mode of delivery is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  What is forecasting?
2. Week  Time Series Decomposition
3. Week  Time Series Decomposition
4. Week  Problem Solution and Computer Practise
5. Week  Exponential Smoothing Method
6. Week  Exponential Smoothing Method
7. Week  Stationary Time Series
8. Week  Stationary Time Series
9. Week  Examination
10. Week  Nonstationary Time Series
11. Week  Nonstationary Time Series
12. Week  Nonstationary Time Series
13. Week  Problem Solution and Computer Practise
14. Week  Time Series Model Selection
15. Week  Time Series Model Selection
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Rob J Hyndman-George Athana­sopou­los Forecasting: principles and practice, OTexts, 2013.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise.
 -- WORK PLACEMENT(S)
  Not applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
35
 Assignment
0
0
 Exercises
0
0
 Projects
1
15
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
4
56
 Practising Hours of Course Per Week
0
0
0
 Reading
14
6
84
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
2
5
10
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
10
10
 Other
0
 TOTAL WORKLOAD: 
198
 TOTAL WORKLOAD / 25: 
7.92
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X