Course Name Code Semester T+U Hours Credit ECTS
Decision Support Systems ISE 415 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi HALİL İBRAHİM CEBECİ
Course Lecturers
Course Assistants
Course Category
Course Objective The overall aim of this subject to provide the students with an understanding of decision support capabilities of information technology, and the development of decision support systems (DSS).
Course Content Concept of Decision support systems, characteristic of Decision support systems, structure and components Decision support systems, design of decision support systems, web based Decision support systems, Group Decision support systems, knowledge based Decision support systems and expert systems, applications of service and manufacturuing Decision support systems
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Demonstrate an understanding of the underlying technology used in decision support system; Lecture, Question-Answer, Discussion, Testing, Oral Exam,
2 Analyse and apply alternate methods for designing, developing and implementing decision support systems; Lecture, Question-Answer, Drilland Practice, Testing, Oral Exam, Homework,
3 Evaluate the select alternative technologies, used for building decision support systems; Lecture, Question-Answer, Discussion, Testing, Oral Exam,
4 Develop a new decision support system Lecture, Question-Answer, Discussion, Testing, Oral Exam, Homework,
5 Identify and justify opportunities for decision support systems development Lecture, Question-Answer, Discussion, Testing, Oral Exam,
Week Course Topics Preliminary Preparation
1 Management Support Systems, defining management information needs; requirement for decision support for decision making and other executive work; types and levels of decision support systems
2 DSS characteristics and capabilities; DSS taxonomies and frameworks; model management for decision support
3 Decision Support System types
4 DSS development tools; DSS development approaches
5 Database management,
6 Laboratory sessions
7 OLAP, Data visualization Knowledge Discovery, Data mining
8 Laboratory sessions
9 Expert Systems, knowledge engineering and knowledge acquisition; knowledge representation and inference; expert systems applications
10 Laboratory sessions
11 Intelligent Decision Support Systems Knowledge-based decision support systems; intelligent DSS systems design
12 Implementation of Decision Support Systems linking systems to organizational objectives
13 Group Decision Support Systems (GDSS), technology of GDSS,; electronic meeting systems to support group work; GDSS software
14 Assessment of term projects
Course Notes Lecture notes
Course Resources 1.Turban, E., Aronson, J., Decision Support and Intelligent Systems, Prentice-Hall, 2007.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
7 X
8 X
9 X
10 X
11 X
12 X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 15
2. Ödev 15
3. Ödev 20
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 4 4
Quiz 1 4 4
Assignment 2 4 8
Final examination 1 9 9
Total Workload 137
Total Workload / 25 (Hours) 5.48
dersAKTSKredisi 5