ECTS - Decision Support Systems
Decision Support Systems (IE444) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Decision Support Systems | IE444 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| 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;
|
| 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 | Weekly course materials |
| 2 | Decision Making, Systems, Modeling and Support | Weekly course materials |
| 3 | Decision Support Systems Concepts, Methodologies and Technologies | Weekly course materials |
| 4 | Modeling and Analysis | Weekly course materials |
| 5 | Data Warehousing | Weekly course materials |
| 6 | Business Analytics and Data Visualization | Weekly course materials |
| 7 | Business Analytics and Data Visualization | Weekly course materials |
| 8 | Text and Web-Mining | Weekly course materials |
| 9 | Business Performance Management | Weekly course materials |
| 10 | Business Performance Management | Weekly course materials |
| 11 | Interactive Computer Based Technologies | Weekly course materials |
| 12 | Decision Support System Applications | |
| 13 | Decision Support System Applications | |
| 14 | Decision Support System Applications | |
| 15 | Final Examination Period | |
| 16 | Final Exam |
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 | X |
| 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 | Gains adequate knowledge in mathematics, science, and relevant engineering disciplines and acquires the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems. | |||||
| 2 | Gains the ability to identify, formulate, and solve complex engineering problems and the ability to select and apply appropriate analysis and modeling methods for this purpose. | X | ||||
| 3 | Gains the ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements and to apply modern design methods for this purpose. | |||||
| 4 | Gains the ability to select and use modern techniques and tools necessary for the analysis and solution of complex engineering problems encountered in industrial engineering applications and the ability to use information technologies effectively. | X | ||||
| 5 | Gains the ability to design experiments, conduct experiments, collect data, analyze results, and interpret findings for investigating complex engineering problems or discipline specific research questions. | X | ||||
| 6 | Gains the ability to work effectively in intra-disciplinary and multi-disciplinary teams and the ability to work individually. | |||||
| 7 | Gains the ability to communicate effectively in written and oral form, acquires proficiency in at least one foreign language, the ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | |||||
| 8 | Gains awareness of the need for lifelong learning and the ability to access information, follow developments in science and technology, and to continue to educate him/herself. | |||||
| 9 | Gains knowledge about behaviour in accordance with ethical principles, professional and ethical responsibility and standards used in industrial engineering applications | |||||
| 10 | Gains knowledge about business practices such as project management, risk management, and change management and develops awareness of entrepreneurship, innovation, and sustainable development. | |||||
| 11 | Gains knowledge about the global and social effects of industrial engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | |||||
| 12 | Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy. | X | ||||
| 13 | Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring 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 | ||