Course Name Code Semester T+U Hours Credit ECTS
Decision Support Systems ENM 422 8 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. İBRAHİM ÇİL
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,
2 Analyse and apply alternate methods for designing, developing and implementing decision support systems; Group Study, Drilland Practice, Testing, Homework,
3 Evaluate the select alternative technologies, used for building decision support systems; Drilland Practice, Lecture, Testing,
4 Develop a new decision support system Group Study, Lecture, Drilland Practice, Project / Design, Testing,
5 Identify and justify opportunities for decision support systems development Motivations to Show, Case Study, Testing, Project / Design,
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
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
9 Engineering graduates with well-structured responsibilities in profession and ethics X
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 10
2. Ara Sınav 10
1. Ödev 30
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 12 12
Assignment 1 14 14
Performance Task (Laboratory) 1 16 16
Total Workload 122
Total Workload / 25 (Hours) 4.88
dersAKTSKredisi 5