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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and computing fields; ability to apply theoretical and practical knowledge of these fields in solving engineering problems related to information systems. X
2 Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in information systems engineering applications; ability to use information technologies effectively. X
5 Ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the information systems discipline.
6 Ability to work effectively in inter/inner disciplinary teams; ability to work individually.
7 a. Effective oral and written communication skills in Turkish; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. b. Knowledge of at least one foreign language; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development.
9 a. Ability to behave according to ethical principles, awareness of professional and ethical responsibility. b. Knowledge of the standards utilized in information systems engineering applications.
10 a. Knowledge on business practices such as project management, risk management and change management. b. Awareness about entrepreneurship, and innovation. c. Knowledge on sustainable development.
11 a. Knowledge of the effects of information systems engineering applications on the universal and social dimensions of health, environment, and safety. b. Awareness of the legal consequences of engineering solutions.

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