Information Package / Course Catalogue
Management Support Systems
Course Code: MIS525
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 7
Objectives of the Course

Teaching decision support systems. This derTe is designed for students to design and implement computer based systems that will provide support to management decisions in semi-structured and non-structured forms.

Course Content

Global change, institutional change and decision support systems, general characteristics of decision support systems, structure and components of decision support systems, design of a new decision support system, web technologies and group decision support, E-Commerce, group decision support systems, executive decision support systems , expert systems, OLAP, Excell application decision support system - pivot table application, manufacturing decision support systems applications

Name of Lecturer(s)
Learning Outcomes
1.Be able to use and improve the tools and methods of decision support systems.
2.Synthesis of technologies used in decision support systems.
3.Apply and analyze methods for design, development and implementation of decision support systems
4.To be able to evaluate the selection of the technologies used in the creation of decision support systems.
5.Identify and evaluate opportunities for developing decision support systems
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
An overview of management support systems
Week 2 - Theoretical
Decision makers, decision making and systems
Week 3 - Theoretical
Modeling and Decision Support
Week 4 - Theoretical
Decision support systems - Data Management, Model Management, Interface Management
Week 5 - Theoretical
Decision support systems - Data Management, Model Management, Interface Management
Week 6 - Theoretical
Group decision support systems
Week 7 - Theoretical
Corporate Decision Support Systems
Week 8 - Intermediate Exam
MIDTERM
Week 9 - Theoretical
Decision support and artificial intelligence
Week 10 - Theoretical
Artificial Intelligence and Expert Systems
Week 11 - Theoretical
Executive Decision Support Systems
Week 12 - Theoretical
Data base, data warehouse, knowledge base
Week 13 - Theoretical
Cube building and data analysis with OLAP, visualization of data
Week 14 - Theoretical
Decision support today and tomorrow
Week 15 - Final Exam
Final
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory163396
Individual Work162380
Final Examination1145
TOTAL WORKLOAD (hours)181
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
5
5
5
5
5
5
5
5
5
5
OÇ-2
5
5
5
5
5
5
5
5
5
OÇ-3
4
4
4
4
5
5
5
4
4
OÇ-4
4
5
5
5
5
5
5
5
5
OÇ-5
4
5
5
4
4
4
4
4
5
5
Adnan Menderes University - Information Package / Course Catalogue