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Mersin Üniversitesi

Ders Bilgileri

DECİSİON SUPPORT SYSTEMS
Kodu Dönemi Teori Uygulama Ulusal Kredisi AKTS Kredisi
Saat / Hafta
İBY309 Fall 3 0 3 3
Ön Koşulu Olan Ders( ler ) yok
Dili en
Türü Required
Seviyesi Bachelor's
Öğretim Elemanı( ları ) Inst. Jale BEKTAŞ
Öğretim Sistemi Face to Face
Önerilen Hususlar yok
Staj Durumu None
Amacı Aim is to help decision makers have benefit from the model data that is semi-structured and unstructured. This course Supports students to solve problems which are related with decision support systems with computer based and interactive methods.
İçeriği Students in this course have information about Management and decision making function, System, Model and Model Construction Process, computer Support and Management Information Systems in decision making process, Structure and elements of Decision support Systems (DSS); DSS ormation conditions, DSS Process Design and Organization, DSS Samples, Executive Information Systems and Introduction to Expert Systems and DSS Softwares.

Dersin Öğrenim Çıktıları

# Öğrenim Çıktıları
1 Know the basic concepts of Decision Support Systems.
2 Know Decision Support Systems components.
3 Understand the requirements of the Decision Support System.
4 Know Decision Theory and decision-making approaches.
5 Decides on the choice of Decision Support System.
6 Manages Decision Support System design and development projects.

Haftalık Ayrıntılı Ders İçeriği

# Konular Öğretim Yöntem ve Teknikleri
1 Data Information Decision Theory and Features Lectures, discussion
2 Decision Structures Lectures, discussion
3 Information systems Lectures, discussion
4 Decision Support System Concept Lectures, discussion
5 Decision Support System Components Lectures, discussion
6 Management of Data and Model Structure Application
7 Relation between Decision Support System and Management Information System Lectures, discussion
8 Midterm Exam
9 Data-driven Decision Support System Lectures, discussion
10 Intelligent Decision Support System Lectures, discussion
11 Intelligent Decision Support System Algorithms(ID.3) Lectures, discussion
12 Intelligent Decision Support System Algorithms(C4.5) Lectures, discussion
13 Intelligent Decision Support System Algorithms(SLIQ) Lectures, discussion
14 Intelligent Decision Support System Algorithms(CART SPRINT) Application
15 Assesment of Choosing Optimal Decision Support System Algorithm Application
16 Final Exam

Resources

# Malzeme / Kaynak Adı Kaynak Hakkında Bilgi Referans / Önerilen Kaynak
1 Turban, E. ve Aranson, J.E., Liang, T.P., , Decision Support Systems and Intelligent Systems, 7th Ed., Prentice-Hall, 2005

Ölçme ve Değerlendirme Sistemi

# Ağırlık Çalışma Türü Çalışma Adı
1 0.4 1 1. Mid-Term Exam
2 0.6 5 Final Exam

Dersin Öğrenim Çıktıları ve Program Yeterlilikleri ile İlişkileri

# Öğrenim Çıktıları Program Çıktıları Ölçme ve Değerlendirme
1 Know the basic concepts of Decision Support Systems. 1͵7 1
2 Know Decision Support Systems components. 1 1
3 Understand the requirements of the Decision Support System. 1 1
4 Know Decision Theory and decision-making approaches. 4 2
5 Decides on the choice of Decision Support System. 4 2
6 Manages Decision Support System design and development projects. 1 2

Not: Ölçme ve Değerlendirme sütununda belirtilen sayılar, bir üstte bulunan Ölçme ve Değerlerndirme Sistemi başlıklı tabloda belirtilen çalışmaları işaret etmektedir.

İş Yükü Detayları

# Etkinlik Adet Süre (Saat) İş Yükü
13 Final Exercise 0 0 0
0 Course Duration 14 3 42
1 Course Duration Except Class (Preliminary Study, Enhancement) 14 1 14
2 Presentation and Seminar Preparation 0 0 0
3 Web Research, Library and Archival Work 0 0 0
4 Document/Information Listing 0 0 0
5 Workshop 0 0 0
6 Preparation for Midterm Exam 1 31 31
7 Midterm Exam 1 1 1
8 Quiz 0 0 0
9 Homework 0 0 0
10 Midterm Project 0 0 0
11 Midterm Exercise 0 0 0
12 Final Project 1 0 0
14 Preparation for Final Exam 1 31 31
15 Final Exam 1 1 1
120