DECISION SUPPORT SYSTEMS

MT514

Course Code: MT514
Semester: -
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Elective Course

Course Level

Master's Degree Without Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Associate Professor Barış Keçeci

Learning Outcomes

At the end of this course, the students;

Analyse the Decision-making processes in business and design and creation of decision support systems
Create and analyse decision models

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Planning and control dimension at work occasion. Components of Decision Support Systems.Data base and management systems. Decision models and model-based systems.Sensitivity anal ysis.

Course Contents

WEEK	TOPICS
1^st Week	Planning and control dimension at work occasion.
2^nd Week	Planning and control dimension at work occasion.
3^rd Week	Components of Decision Support Systems.
4^th Week	Components of Decision Support Systems.
5^th Week	Data base and management systems.
6^th Week	Data base and management systems.
7^th Week	Decision models and model-based systems.
8^th Week	MIDTERM
9^th Week	Decision models and model-based systems.
10^th Week	Decision models and model-based systems.
11^th Week	Sensitivity anal ysis.
12^th Week	Sensitivity anal ysis.
13^th Week	Sensitivity anal ysis.
14^th Week	Student Projects

Recommended or Required Reading

(1) Turban, E. ve Aranson, J.E., Liang, T.P., , Decision Support Systems and Intelligent Systems, 7th Ed., Prentice-Hall, 2005
(2)Laudon, K.C. ve Laudon, J.P., Management Information Systems, 9th Ed., Prentice-Hall, 2005

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Case Study
Problem Solving
Project
Report Preparation
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Project	1	20
Total(%)		50
Contribution of In-term Studies to Overall Grade(%)		50
Contribution of Final Examination to Overall Grade(%)		50
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	14	14	196
Preparation for Final exam	1	25	25
Course hours	14	3	42
Preparation for Midterm exam	1	25	25
Laboratory (including preparation)
Final exam	1	2	2
Homework	1	14	14
Total Work Load			306
Total Work Load / 30 (h)			10.2
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2
K1	X	X
K2	X	X
K3	X	X
K4	X
K5		X
K6
K7
K8
K9
K10
K11