About this class
aim of this study is to provide a Decision Support System (DSS) to assist experts in port
management and forecast their country seaborne container demand. It will lead to reasonable
decisions so as to provide sufficient supply which handles containers demand.
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Learning Material
Title
Volume
Unit 1: Time Series Forecasting Methods
5.89 MB
<p>Time Series Forecasting Methods</p>
Unit 2: Machine Learning Approaches in Forecasting
5.89 MB
<p>Machine Learning Approaches in Forecasting</p>
Unit 3: Forecasting in Financial Markets
5.89 MB
<p>Forecasting in Financial Markets</p>
Unit 4: Supply Chain Demand Forecasting
5.89 MB
<p>Supply Chain Demand Forecasting</p>
Unit 5: Weather Forecasting Models
5.89 MB
<p>Weather Forecasting Models</p>
Unit 6: Energy Demand Forecasting
5.89 MB
<p>Energy Demand Forecasting</p>
Unit 7: Sales and Inventory Forecasting
5.89 MB
<p>Sales and Inventory Forecasting</p>
Unit 8: Forecasting for Environmental Impact Assessment
5.89 MB
<p>Forecasting for Environmental Impact Assessment</p>
Exams
Title
Min
Grade
Attempts
Status
Final exam of forecasting systems and applications
50
Questions, 90
Min
50/100
0/1
-
Certificates
Title
Min
Grade
Final exam of forecasting systems and applications
50/100
0
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