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| BILB3015 | @ | 4+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | COMPUTER SCIENCE | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Serkan AKBAŞ | | Co-Lecturer | N/A | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Students taking this course will be able to learn about Decision Support Systems and Business Intelligence Concepts, Decision Support Systems and Business Intelligence, Decision Making, System Modeling and Analysis, Data Warehouse, Data Visualization, Data, Text and Web Mining, Artificial Neural Networks, Business Performance Management, Interactive. and they will have knowledge about Computer Aided Technologies, Group Decision Support Systems, Information Management Systems, Artificial Intelligence, Expert Systems, Advanced Systems, Decision Support Systems Applications. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Students will learn the basic concepts of decision support systems. | 4 | 1,3, | | LO - 2 : | Students will gain perspective on the role of decision support systems in different engineering disciplines. | 4 | 1,3, | | LO - 3 : | Students will evaluate and solve real-life processes and problems using decision support systems. | 4 | 1,3, | | LO - 4 : | Students will design and develop decision support systems. | 4 | 1,3, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Decision support systems are generally computer-based systems designed to facilitate decision-making and choice-making processes. It is aimed to inform students taking this course about the decision-making process and its types, as well as the structures, components, design and implementation stages of decision support systems that can be used for these different decision types, in order to gain competitiveness in businesses both at national and international levels. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to Decision Support Systems | | | Week 2 | Decision Support Systems and Business Intelligence | | | Week 3 | Decision Making, System, Modeling and Support | | | Week 4 | Decision Support Systems Concepts, Methodologies and Technologies | | | Week 5 | Modeling and Analysis | | | Week 6 | Data warehouse | | | Week 7 | Business Analytics and Data Visualization | | | Week 8 | Data, Text and Web Mining | | | Week 9 | Midterm Exam | | | Week 10 | Business Performance Management | | | Week 11 | Interactive Computer Aided Technologies and Group Decision Support Systems | | | Week 12 | Information Management | | | Week 13 | Artificial Intelligence and Expert Systems | | | Week 14 | Advanced Systems | | | Week 15 | Decision Support Systems Applications | | | Week 16 | Final Exam | | | |
| 1 | Turban E., Aranson J.A., Liang T.P., Decision Support Systems and Intelligent Systems, Pearson Educational International, 2005 Seventh Edition | | | |
| 1 | Mora M., Forgionne G., Gupta N.D.J., Decision Making Support Systems Achievements and Chalanges for the New Decade, IDEA Group Publishing, 2003, London. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 01/01/2025 | 1.5 | 50 | | End-of-term exam | 16 | 01/01/2025 | 1.5 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 14 | 56 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Ödev | 3 | 2 | 6 | | Dönem sonu sınavı için hazırlık | 4 | 1 | 4 | | Dönem sonu sınavı | 1.5 | 1 | 1.5 | | Total work load | | | 109.5 |
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