ECTS - Decision Support Systems
Decision Support Systems (IE514) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Decision Support Systems | IE514 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Technical Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| 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, neural networks for data mining, business performance management, collab |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Decision Support Systems | |
| 2 | Decision Support Systems and Business Intelligence | |
| 3 | Decision Making, Systems, Modeling and Support | |
| 4 | Decision Support Systems Concepts, Methodologies and Technologies | |
| 5 | Modeling and Analysis | |
| 6 | Data Warehousing | |
| 7 | Business Analytics and Data Visualization | |
| 8 | Data, Text and Web-Mining | |
| 9 | Business Performance Management | |
| 10 | Collaborative Computer-Supported Technologies and Group Support Systems | |
| 11 | Midterm | |
| 12 | Knowledge Management | |
| 13 | Artificial Intelligence and Expert Systems | |
| 14 | Advanced Intelligence Systems | |
| 15 | Decision Support System Applications | |
| 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, 2005 Seventh Edition |
|---|---|
| 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, 2003, London. |
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 | 1 | 30 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 3 | 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 | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Ability to apply the acquired knowledge in mathematics, science and engineering | X | ||||
| 2 | Ability to identify, formulate and solve complex engineering problems | X | ||||
| 3 | Ability to accomplish the integration of systems | X | ||||
| 4 | Ability to design, develop, implement and improve complex systems, components, or processes | X | ||||
| 5 | Ability to select/develop and use suitable modern engineering techniques and tools | X | ||||
| 6 | Ability to design/conduct experiments and collect/analyze/interpret data | X | ||||
| 7 | Ability to function independently and in teams | X | ||||
| 8 | Ability to make use of oral and written communication skills effectively | X | ||||
| 9 | Ability to recognize the need for and engage in life-long learning | X | ||||
| 10 | Ability to understand and exercise professional and ethical responsibility | X | ||||
| 11 | Ability to understand the impact of engineering solutions | X | ||||
| 12 | Ability to have knowledge of contemporary issues | X | ||||
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 | 16 | 1 | 16 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 4 | 4 |
| Report | |||
| Homework Assignments | 4 | 4 | 16 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 16 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 25 | 25 |
| Total Workload | 125 | ||