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Course Code: 
ISE 457
Course Type: 
Area Elective
Theoric: 
3
Practice: 
0
ECTS: 
5
Course Language: 
English
Courses given by: 
Course Objectives: 
To introduce the basic principles and methods of forecasting. Determining the future state of a process under uncertainty by using statistical principles.
Course Content: 

Naive methods, moving average methods, exponential smoothing (simple, Holt’s, Winters’), classical time series decomposition, regression methods, Box-Jenkins ARIMA models, statistical package applications. 

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Laboratory 4: Case Study
Course Evaluation Methods: 
A: Exam, B: Experiment, C: Homework, D: Project

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