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) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
Course Lecturer(s) |
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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;
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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 |
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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 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | X |
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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 | Ability to carry out advanced research activities, both individual and as a member of a team | |||||
2 | Ability to evaluate research topics and comment with scientific reasoning | |||||
3 | Ability to initiate and create new methodologies, implement them on novel research areas and topics | |||||
4 | Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions | |||||
5 | Ability to apply scientific philosophy on analysis, modelling and design of engineering systems | |||||
6 | Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level | |||||
7 | Contribute scientific and technological advancements on engineering domain of his/her interest area | |||||
8 | Contribute industrial and scientific advancements to improve the society through research activities |
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 |