Graduate Education Institute · Urban Studies and Management · Master
Course Objective
Learning decision making analysis methods in urban studies.
Course Content
Decision-making process and stages in urban studies, analysis of analysis methods
Required Resources
lecture notes
Recommended Resources
Quantitative Analysis for Management, B. Render, R.M. Stair, Jr., M.E. Hanna, Pearson, 11th edition 2012.
Stevenson, W.J., ?Operations Management?, 7th or 8th edition, Prentice Hall.
Explanations
There will be an interim evaluation and a final evaluation during the semester. 1. Intermediate submission and pre-final studies will be followed at regular intervals. 2. Interim evaluation will be made in the period corresponding to the visa week. This period will be announced by the relevant Institute. It will include an interim evaluation process before the final submission. 3. Final submission date and time will be announced by the relevant Institute.
Rules
1. Attendance: According to the regulation, a student attends 80% of the total course hours.
If he does not, he will be absent from the course (DZ) and be unsuccessful.
2. Arrive Late: Not only coming to class, but also attending class on time.
is expected. Do not forget that 3 late arrivals are counted as 1 complete absence.
will be counted. Being late to class is defined as:
taking attendance and attending the class after the first 10 minutes of the lesson
3. Getting Help: Ask your questions about the lesson during the lesson or during the meeting hours.
It is important for your education that you ask questions and learn the subject in time. Our students,
We recommend that they seek help when necessary.
4. Academic Integrity: In the studies that will be the subject of the course grade, it is completely
Your effort and work is expected. immoral such as plagiarism, copying
In such cases, according to the relevant regulation of IZU, a disciplinary investigation will be opened and the necessary penal action will be taken.
you will be subject to sanctions
5. The assessments stated in this syllabus are fixed and any grade-raising purpose
no extra compensation measurement will be made
Course Learning Outcomes
- To be able to evaluate various real life problems from the perspective of quantitative analysis and to create an appropriate mathematical model for the solution.
- To be able to solve the problem expressed as a mathematical model by using the graphical method and/or Excel Solver,
- Being able to interpret the solution reached and transfer it to third parties effectively
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 15 | 3 | 45 |
| Out of Class Study Period | 15 | 1 | 15 |
| Midterm | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Assignment | 1 | 25 | 25 |
| Practice | 1 | 30 | 30 |
| Final | 1 | 60 | 60 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Getting to Know, Explaining the Course Evaluation Criteria | none |
| 2 | City and Urbanization, Urbanization in Turkey | Reading |
| 3 | Urbanization and Istanbul | Reading |
| 4 | Decision Making, Decision Making Process and Stages | Reading |
| 5 | Multi-Purpose Decision Making, Multi-Criteria Decision Making | Reading |
| 6 | Analytical Network Process, Consistent Fuzzy Preference Relationships | Reading |
| 7 | Fuzzy Logic, Fuzzy Set, Fuzzy Numbers | Reading |
| 8 | Using Fuzzy Logic in MCDM Problems | Reading |
| 9 | Midterm | Midterm |
| 10 | Heuristics Algorithms, Genetic Algorithm, Ant Colony Optimization | Reading |
| 11 | Taboo Search | Reading |
| 12 | Artificial neural networks | Reading |
| 13 | FINAL PRESENTATION | FINAL PRESENTATION |
| 14 | FINAL PRESENTATION | FINAL PRESENTATION |