INFORMATION TECHNOLOGIES (ENGLISH, THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
INE5261 | Multi Attribute Decision Making | Fall Spring |
3 | 0 | 3 | 12 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi JBİD ANİ ARSENYAN ÜŞENMEZ |
Course Lecturer(s): |
Dr. Öğr. Üyesi YÜCEL BATU SALMAN |
Course Objectives: | This course aims to build up the multi-attribute decision making concept by defining the decision making problem with its various constituents. |
The students who have succeeded in this course; Understand the nature of decision making Structure and model multi-attribute decision making problems Select the most appropriate method to solve multi-attribute problems Integrate the preferences of a group of decision makers Solve real world problems having conflicting criteria |
The course includes various multi-attribute decision making tools and techniques such as elementary methods, value based methods, and outranking methods in order to help industrial engineering students to handle real-life problems with a scientific approach. |
Week | Subject | Related Preparation | |
1) | Decision analysis | ||
2) | Utility theory | ||
3) | Multi attribute decision making | ||
4) | Structuring the problem | ||
5) | Elementary methods | ||
7) | Value-based methods | ||
8) | Midterm | ||
9) | Outranking methods | ||
10) | Group Decision Making | ||
11) | Fuzzy Approach to MADM | ||
12) | Applications | ||
13) | Project presentations | ||
14) | Project presentations |
Course Notes: | Multiple Attribute Decision Making: An Introduction K . P. Yoon, and C.-L.Hwang 1995 978-0803954861 |
References: | Multiple Criteria Decision Analysis: An Integrated Approach V. Belton, and T.J. Stewart 2003 0-7923-7505-X The analytic hierarchy process: planning, priority setting, resource allocation T.L. Saaty 1990 978-0070543713 Decisions with Multiple Objectives: Preferences and Value Tradeoffs R.L. Keeney, and H. Raiffa 1993 978-0521438834 The Analytic Network Process: Decision Making With Dependence and Feedback T.L. Saaty 1996 978-0962031793 |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | % 0 | |
Presentation | % 0 | |
Project | 1 | % 35 |
Seminar | % 0 | |
Midterms | 1 | % 25 |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 12 | 6 | 72 |
Presentations / Seminar | 1 | 15 | 15 |
Project | 1 | 60 | 60 |
Homework Assignments | 0 | 0 | 0 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 2 | 2 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 2 | 2 |
Total Workload | 193 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Uses basic Software Engineering knowledge and competencies | |
2) | Applies the software development ability that is necessary for software engineering applications. | |
3) | Uses data structures and applies information about algorithm development. | |
4) | Develops system programs on operating systems. | |
5) | Defines computer organization, design and architectures. | |
6) | Creates the structure of computer networks and network security. | |
7) | Uses business intelligence, data mining and data analysis tools, applies techniques about them. | |
8) | Develops database applications and WEB based programs. | |
9) | Defines, analyzes, designs and manages information technologies projects. | |
10) | Uses and develops technology-based environments and tools in education. | |
11) | Detects, identifies and solves information technology needs of the business environment. | |
12) | Uses the capabilities of information technologies within the rules of professional responsibility and ethics. |