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END 422 - Forecasting and Time Series

Faculty of Engineering and Natural Sciences · Industrial Engineering (English 30%) · Undergraduate

ECTS: 5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Arş. Gör. Biset TOPRAK

Course Objective

1. Learn existing techniques in time series econometrics

2. Measure quality and estimation quality in time series models

3. Learn the applications in finance

Course Content

ARIMA, Diagnostic Checking, Model Selection, ARMA, ARIMA, Forecasting

Core Area Distribution

(46) Mathematics and Statistics%70 (52) Engineering and Engineering Trades%30

Teaching Methods

ExpressionQuestion-AnswerDiscussionExercise and PracticeSimulationSelf studyProblem Solving

Assessment & Evaluation

HomeworkProject / DesignTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)14342
Out of Class Study Period000
Midterm122
Quiz000
Assignment2510
Practice000
Final122

Course Schedule

WeekSubjectPreparation
1
2
3
4
5
6
7
8
9
10
11
12
13
14