Decision Support Systems (IE444) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Decision Support Systems	IE444		3	0	0	3	5

Pre-requisite Course(s)
N/A

Course Language	English
Course Type	N/A
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)	Instructor Dr. Uğur Baç
Course Assistants
Course Objectives	In this course, the students will be learning fundamental concepts of decision support systems to be able to apply for their practical problems.
Course Learning Outcomes	The students who succeeded in this course; Students will learn fundamental concepts of decision support systems. Students will have an insight about the role of decision support systems for industrial engineering discipline. Students will evaluate and solve real life processes and problems using decision support systems. Students will design and develop decision support systems.
Course Content	Decision support systems and business intelligence, decision making, systems, modeling and support, decision support systems concepts, methodologies and technologies, modeling and analysis, data warehousing, business analytics and data visualization, data, text and web-mining, business performance management, decision support system applications

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	Decision Support Systems and Business Intelligence
2	Decision Making, Systems, Modeling and Support
3	Decision Support Systems Concepts, Methodologies and Technologies
4	Modeling and Analysis
5	Data Warehousing
6	Business Analytics and Data Visualization
7	Business Analytics and Data Visualization
8	Text and Web-Mining
9	Business Performance Management
10	Business Performance Management
11	Interactive Computer Based Technologies
12	Decision Support System Applications
13	Decision Support System Applications
14	Decision Support System Applications
15	Final Examination Period
16	Final Examination Period

Sources

Course Book	1. Turban, E., Aranson, J.A., Liang, T.P., Decision Support Systems and Intelligent Systems, Pearson Educational International, 7th Edition, 2005.
Other Sources	2. Mora, M., Forgionne, G., Gupta, N.D.J., Decision Making Support Systems Achievements and Chalanges for the New Decade, IDEA Group Publishing, London, 2003.

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	-	-
Laboratory	-	-
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	-	-
Homework Assignments	-	-
Presentation	-	-
Project	1	30
Report	-	-
Seminar	-	-
Midterms Exams/Midterms Jury	2	30
Final Exam/Final Jury	1	40
Toplam	4	100

Percentage of Semester Work	60
Percentage of Final Work	40
Total	100

Course Category

Core Courses
Major Area Courses
Supportive Courses	X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems.
2	An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods.
3	An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4	An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively.
5	An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6	An ability to work individually, on teams, and/or on multidisciplinary teams.
7	Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8	A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9	An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10	Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11	Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12	An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy.
13	Knowlede on appropriate analytical, computational and experimental methods to provide system integration.

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)	16	3	48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class	10	1	10
Presentation/Seminar Prepration
Project	1	30	30
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	1	15	15
Prepration of Final Exams/Final Jury	1	22	22
Total Workload			125