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Information
| Code | PM568 |
| Name | Quantitative Methods in Landscape Planning |
| Term | 2024-2025 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SÜHA BERBEROĞLU |
Course Goal / Objective
Utilizes computer-based analytical tools for planning analysis, and descriptive and influence statistics as applied to public policies in planning and environmental policy.
Course Content
The major concept of the lecture is to introduce quantitative techniques in collecting and analysing spatial data for landscape planning. In this context the lecture covers, data sources used in landscape planning and Geographical Information Systems, data analysis, correlation and regression analysis, boolean, arithmetic statistical operations together with multiple regression, principal component analysis, fuzzy theory and artificial neural networks.
Course Precondition
There is no precondition
Resources
Lecture Notes
Notes
All publications on the subject
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To be able to develop and deepen their knowledge at the level of expertise in the same or a different field based on their undergraduate level qualifications. |
| LO02 | To be able to comprehend the interdisciplinary interaction related to the field. |
| LO03 | It has an advanced level of knowledge and insight that provides the foundation for original studies in the field of landscape planning and landscape design on the basis of the competencies gained at the undergraduate level. |
| LO04 | Critical awareness of the problems of the nature, sources, knowledge production and testing of information in the interface between landscape planning and other fields related to the field of landscape design. |
| LO05 | To be able to use the theoretical and practical knowledge in the field of expertise. |
| LO06 | To be able to create new information by integrating the information in the field with the information from different disciplines; analyze the problems that require expertise by using scientific research methods. |
| LO07 | Gains the necessary cognitive and practical skills for the professional practice in graduate education. |
| LO08 | Apply gained knowledge, comprehension and problem solving skills in new and non-conventional environments, in a wider, interdisciplinary, multidisciplinary and disciplined context. |
| LO09 | To be able to construct a problem, to develop a solution method, to be able to solve the problem. |
| LO10 | To be able to develop new strategic approaches for solving problems and to be able to produce solutions by taking responsibility. |
| LO11 | To be able to critically evaluate the information related to the field, to direct learning and to carry out advanced studies independently. |
| LO12 | To be able to transfer the current developments and their studies to the groups in the field and outside the field in written, oral and visual form. |
| LO13 | To be able to examine social relations and the norms that direct these relations from a critical point of view, to develop them and to change them when necessary. |
| LO14 | To be able to use information and communication technologies at an advanced level with computer software. |
| LO15 | To be able to develop strategy, policy and implementation plans related to landscape planning and landscape design and to evaluate the obtained results within the framework of quality processes. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Supervises the information obtained during the collection, interpretation, implementation and announcement of the data related to the field by considering social, scientific, cultural and ethical values. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops knowledge in the same or a different field, based on undergraduate level qualifications. | 5 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Gains and applies the ability to identify, define, formulate and solve engineering problems. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Gains the ability to collect data related to the field, analyze and interpret the results. | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Uses the knowledge of the principles, processes and tools of Landscape Architecture together with solutions in the professional field. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | The ability to work effectively individually or in multi-disciplinary teams gains the self-confidence to take responsibility. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | It follows the developments in science and technology and gains the ability to constantly renew itself. | |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | He/she independently carries out a study that requires expertise in his/her field. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | It uses the knowledge and competence to reflect the philosophy, elements, principles and tools of landscape design into the detailed landscape design process. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | It adopts lifelong learning as a principle in the field of Landscape Architecture. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses advanced computer software, information and communication technologies at the level required by the field. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Gains the ability to present visual, oral or written presentations by using contemporary communication methods in developing and explaining Landscape Architecture ideas. | |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | It adopts the principle of complying with scientific and ethical values in all its works. | |
| PLO14 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to develop strategy, policy and implementation plans on issues related to his/her field and evaluate the results obtained within the framework of quality processes. | |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Evaluates the knowledge and skills acquired in the field with a critical approach. | |
| PLO16 | Yetkinlikler - Alana Özgü Yetkinlik | Gains the competence to develop plans and design proposals sensitive to society, area and nature for different landscape types. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to database and its management | Literature readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 2 | Statistical methods in landscape planning | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 3 | Multi-variate statistics in land use and its usage in the analysis of environmental data | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 4 | Fuzzy logic theory and its application in planning | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 5 | Artificial Neural Networks | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 6 | Multi-criteria Analysis | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 7 | Decision support systems and multi-criteria analysis | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
| 9 | Laboratory exercise | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri, Deney / Laboratuvar |
| 10 | Interpolation methods | Readings | Öğretim Yöntemleri: Deney / Laboratuvar |
| 11 | Geostatistics | Readings | Öğretim Yöntemleri: Deney / Laboratuvar |
| 12 | Introduction to non-linear models | Readings | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri, Deney / Laboratuvar |
| 13 | Laboratory exercise and evaluation | Readings | Öğretim Yöntemleri: Anlatım, Gösteri, Soru-Cevap, Gösterip Yaptırma |
| 14 | Homework, project | Preparation for presentation of the project | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 15 | Environmental modelling case studies | Readings | Öğretim Yöntemleri: Anlatım, Gösteri, Soru-Cevap |
| 16 | Term Exams | Preparation for exam | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams and evaluation | Preparation for exam | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 6 | 12 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 12 | 12 |
| Total Workload (Hour) | 142 | ||
| Total Workload / 25 (h) | 5,68 | ||
| ECTS | 6 ECTS | ||