| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree Without Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Associate Professor Nurcan Alkış Bayhan
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Learn different management roles and decision types
2) Learn the rational decision making process
3) Understand the status of DSS in Business
4) Apply techniques such as Linear Programing, Decision Trees, Simulation, and Data Mining to solve simple problems by hand or using a tool
5) Learn different types of DSS and enabling technologies: Group Support Systems, Expert Systems, Business Performance Management
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | |
| COURSE DEFINITION | This course focuses on the use and application of information systems to support the decision-making process. Knowledge-based systems, neural networks, expert systems, electronic meeting systems, group systems and web-based systems are discussed as a basis for designing and developing highly effective decision support systems. Data models, interactive processes, knowledge-based approaches and integration with database systems are also described. Theoretical concepts are applied to real-world applications. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Decision support systems and business intelligence | | 2nd Week | Decision Making, Systems, Modeling, and Support | | 3rd Week | Decision Support Systems Concepts, Methodologies, and Technologies | | 4th Week | Modeling and analysis | | 5th Week | Data Mining for Business Intelligence | | 6th Week | Artificial neural networks | | 7th Week | Text and web mining | | 8th Week | Midterm | | 9th Week | Data warehousing | | 10th Week | Business Performance Management | | 11th Week | Collaborative Computer-Supported Technologies and Group Support Systems | | 12th Week | Knowledge management | | 13th Week | Artificial Intelligence and Expert Systems | | 14th Week | Management support systems |
|
| RECOMENDED OR REQUIRED READING | Efraim Turban & Jay E. Aronson. Decision Support Systems and Intelligent Systems (6th Edition) |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Questions/Answers,Presentation |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 20 | | Other | 4 | 40 | | Total(%) | | 60 | | Contribution of In-term Studies to Overall Grade(%) | | 60 | | Contribution of Final Examination to Overall Grade(%) | | 40 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 3 | 3 | | Preparation for Quiz | | | | | Individual or group work | 14 | 3 | 42 | | Preparation for Final exam | 1 | 60 | 60 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 50 | 50 | | Laboratory (including preparation) | | | | | Final exam | 1 | 3 | 3 | | Homework | | | | | Presentation (including preperation) | 4 | 3 | 12 | | Research | 4 | 20 | 80 | | Total Workload | | | 292 |
|---|
| Total Workload / 30 | | | 9,73 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
