PM604 Multivariate Statistical Analysis for Landscape Assessment

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code PM604
Name Multivariate Statistical Analysis for Landscape Assessment
Semester . Semester
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 Goal

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