Information Systems (Master) (Without Thesis) (English)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

EBIS520

Course Name:

Decision Support Systems

Course Semester:

Fall
Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Öğr.Gör. HALİME SUVAY EKER

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

The aim of this course is to provide students, business managers who make many decisions for different situations almost every day, suitable for conditions, fast, integrated with business purposes, etc. to teach how to use computer systems that make decisions.

Course Content:

In this course, Definition and History of Decision Support System, Components of the Decision Support System, Decision Structure and Types of Decision Support System, Decision Support System Application Areas, KDS Sample Problems- Establishing KDS Problem Models (Linear Programming Model, Transport Model, Assignment Model, Network Models etc.), The Basics of MS Excel - Using the Solver Tool, Solving Models with the Help of Excel Solver

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Will be able to model the Decision Support System problem.
2 - Skills
Cognitive - Practical
1) Students will be able to make Excel applications for decision support systems.
2) Students will be able to use Excel solver for problem solutions.
3 - Competences
Communication and Social Competence
Learning Competence
1) Students will be able to define Decision Support Systems and decision types.
2) Students will be able to explain the structure of each component in the decision support system.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Definition and History of Decision Support System
2)	Components of the Decision Support System
3)	Decision Structure and Types of Decision Support System (Data Based, Document Based)
4)	Decision Structure and Types of Decision Support System (Web Based, Communication Based, Information Based)
5)	Group Decision Support System
6)	Decision Support System Application Areas
7)	Benefits of Decision Support System and General Review
8)	Midterm
9)	DSS Sample Problems - Establishing DSS Problem Models
10)	The Basics of MS Excel - Using the Solver Tool	Computer, Projection
11)	KDS Problem Solution with MS Excel Solver Tool-I	Computer, Projection
12)	KDS Problem Solution with MS Excel Solver Tool-II	Computer, Projection
13)	KDS Problem Solution with MS Excel Solver Tool-III	Computer, Projection
14)	Intelligent Factor Decision Support Systems - General Review	Computer, Projection

Sources

Course Notes / Textbooks:	Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sistemleri-Ahmet Naci Ünal
References:	Yok

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

Program Outcomes

Level of Contribution

Learning Activity and Teaching Methods

Expression
Individual study and homework
Lesson
Lab
Reading
Homework
Problem Solving
Application (Modelling, Design, Model, Simulation, Experiment etc.)

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application
Individual Project
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Committee	42	% 0
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	42	588
Midterms	1	40	40
Jury	1	60	60
Total Workload			688