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Information
| Code | PM604 |
| Name | Multivariate Statistical Analysis for Landscape Assessment |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi YÜKSEL ÜNLÜKAPLAN |
| Course Instructor |
1 |
Course Goal / Objective
provides information about multivariate statistical analysis and methods in landscaping analysis , and mentions about computer applications through different packages of programme ; and gives students some skills to comment and analyze on problems .
Course Content
reveals the structure of the natural and cultural elements that make up the landscape, the creation of a set of data , associating the mutual interactions within the system, determining multivariate statistical methods that may affect the analysis of the data sets, and the integration of the work of landscape planning.
Course Precondition
none
Resources
Ünlükaplan, Y., 2008. Çok değişkenli istatistiksel yöntemlerin peyzaj ekolojisi araştırmalarında kullanımı. Çukurova Üniversitesi, FBE Pyezaj Mimarlığı ABD, Doktora Tez, Adana.
Notes
National and international publications on the subject
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Reveals the structure of the natural and cultural elements that make up the landscape. |
| LO02 | The creation of data sets |
| LO03 | Relates the mutual interactions within the system. |
| LO04 | Determines statistical methods that may affect the analysis of the multivariate data sets. |
| LO05 | Integrates related methods to the work of landscape planning. |
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. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops knowledge in the same or a different field, based on undergraduate level qualifications. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Gains and applies the ability to identify, define, formulate and solve engineering problems. | |
| 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. | 4 |
| 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. | 5 |
| 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. | 4 |
| 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 | Overall Multivariate statistical analysis techniques | Lecture | Öğretim Yöntemleri: Anlatım |
| 2 | Objectives of the application of multivariate statistical analysis techniques, assumptions. | Lecture | Öğretim Yöntemleri: Anlatım |
| 3 | Cluster analysis | Lecture | Öğretim Yöntemleri: Anlatım |
| 4 | Hierarchical Cluster Analysis in Ecosystem Analysis | Lecture | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | The creation of the data set. | Lecture | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 6 | Application analysis | Lecture and package program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Factor analysis | Lecture | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Preparing a report on the subject. | Ölçme Yöntemleri: Ödev |
| 9 | Factor analysis in Ecosystem analysis | Lecture and package program 2 | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Canonical Correlation Analysis | Lecture and package program 3 | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Canonical Correlation Analysis in Ecosystem analysis | Lecture and package program 4 | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 12 | Canonical Correspondence Analysis | Lecture 3 | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Application studies. | Sample question solution in related package program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 14 | Application studies 2 | Sample question solution in related package program 2 | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 15 | Application studies 3 | Sample question solution in related package program 3 | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | Preparing a report on the subject. | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | Preparing a report on the subject. | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 3 | 3 | 9 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 3 | 3 |
| Final Exam | 1 | 3 | 3 |
| Total Workload (Hour) | 141 | ||
| Total Workload / 25 (h) | 5,64 | ||
| ECTS | 6 ECTS | ||