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Course Information
Course Unit Title : Statistical Forecasting
Course Unit Code : 01END5107
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) :
Course Assistants :
Learning Outcomes of The Course Unit : 1) Understanding random events in manufacturing or service systems
2) Ability of developing and estimating product or system performance statistically and of making an improvement
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Statistical distributions, point and interval estimation, one sample hypothesis tests, two sample hypothesis test
Languages of Instruction : Turkish
Course Goals : 1) Understanding random events in manufacturing or service systems
2) Ability of developing and estimating product or system performance statistically and of making an improvement
Course Aims : Introducing students to the probability theory and basic statistical sampling methods
WorkPlacement   Not Available
Recommended or Required Reading
Textbook : Lecture Notes
Additional Resources :
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 4 56  
Homeworks :
6 3 18  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 30 30  
Workload Hour (30) :
30  
Total Work Charge / Hour :
166  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 50
Quiz :
0 0
Homework :
0 0
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
50
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Time Series Analysis Objectives
 
2 Autocorrelation and autocovariance
 
3 Stationary and Nonstationary Time Series I
 
4 Stationary and Nonstationary Time Series II
 
5 Stochastic Process Models of Box-Jenkins
 
6 ARMA and ARIMA Models I
 
7 ARMA and ARIMA Models II
 
8 Model Identification
 
9 Parameter Estimation
 
10 Compliance Test
 
11 Stochastic Process Models with Box-Jenkins Forecasting
 
12 Linear Regression
 
13 Multiple Regression
 
14 Analysis of Variance-Covaryans