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  Course Description
Course Name : Multivariate Statistical Analysis for Landscape Assessment

Course Code : PM-604

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Asst.Prof.Dr. YÜKSELÜNLÜKAPLAN

Learning Outcomes of the Course : reveals the structure of the natural and cultural elements that make up the landscape.
The creation of data sets
Relates the mutual interactions within the system.
determines statistical methods that may affect the analysis of the multivariate data sets.
integrates related methods to the work of landscape planning.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : 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 Contents : 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.

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Overall Multivariate statistical analysis techniques written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture
2 Objectives of the application of multivariate statistical analysis techniques, assumptions. written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture
3 Cluster analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture
4 Hierarchical Cluster Analysis in Ecosystem Analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
5 The creation of the data set. written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
6 Application analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
7 Factor analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture
8 Factor analysis in Ecosystem analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
9 Mid-term exam Revision of the topics discussed in the lecture notes and sources Written examination
10 Canonical Correlation Analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture
11 Canonical Correlation Analysis in Ecosystem analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
12 Canonical Correspondence Analysis written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture
13 Application studies. written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
14 Application studies. written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
15 Application studies. written and printed material, ppt presentations such as books, articles, published papers, research project report, master´s, doctoral thesis related to the topic Lecture and package program
16/17 Final exam Revision of the topics discussed in the lecture notes and sources Written examination


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Shaw, P. J. A., 2003. Multivariate Statistics for the Environmental Sciences. Hodder Arnold, New York.
 Ünlükaplan, Y., Yılmaz, K.T. 2009.Using Ordination and Classification Methods to Interpret Vegetation and Habitat Relations: The Cukurova Deltas Case, Ekoloji(19):73, 10-20. ISSN: 1300-1361.
 Albayrak, A.S., 2006. Uygulamalı Çok Değişkenli İstatistik Teknikleri. Asil Yayın Ltd. Şti, Ankara.
 Ünlükaplan, Y., Yılmaz, K.T., Çakan, H., Alphan, H., 2010. Kıyı Habitatlarının Envanterinde Çok Değişkenli İstatistiksel Analiz Tekniklerinin Kullanımı, Türkiye’nin Kıyı ve Deniz Alanları VIII. Ulusal Konferansı, 27 Nisan-1 Mayıs 2010, Karadeniz Teknik Üniversitesi,Bildiriler kitabı, Cilt1,S: 363-74, Trabzon.
 Ünlükaplan, Y.,, 2008. Çok Değişkenli İstatistiksel Yöntemlerin Peyzaj Ekolojisi Araştırmalarında Kullanımı (Using multivariate statistical methods in landscape ecology researches), ÇÜ Fen Bilimleri Enstitüsü Peyzaj Mimarlığı Anabilim Dalı, Doktora Tezi,Adana
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 40
    Homeworks/Projects/Others 1 60
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Develops and increases the level of expertise in the same or different fields, using undergraduate knowledge and competency 0
2 Understands the interdisciplinary interaction related to profession. 0
3 Has advanced knowledge and understanding based on the basis of competencies gained at the undergraduate level to conduct research in the field of landscape design and landscape planning 3
4 Has critical awareness in the field of landscape planning and landscape design in terms of the nature and resources of knowledge as well as producing and testing knowledge 4
5 Has the ability to use the theoretical and practical knowledge gained in the field. 5
6 Creates new knowledge skillfully by integrating the knowledge gained in the field of landscaping with information from different disciplines; tackles with the problems which require expertise by using scientific reseach methods 4
7 Has cognitive and practical skills which is required to gain competency in professional practice 3
8 Applies the acquired knowledge, understanding and problem-solving skills in new but unusual environments as well as in broader, interdisciplinary and multidisciplinary contexts. 3
9 Tackles with problem, develops a solution method, evaluates the results and applies when necessary. 0
10 Takes responsibility to develop new strategical approaches and to create solutions in complex and unpredictable circumstances 4
11 Evaluates information related to the field critically, directs learning and conducts advanced studies independently 3
12 Presentswritten or orally his own studies or current developments in the field to people in or out of the field using visuals 4
13 Examines social relations and the norms that direct these relations critically and develops the situation when necessary 0
14 Has a good command of a foreign language, at least at B2 level of European Language Portfolio, to communicate orally or written 0
15 Uses advanced information and communication technologies with the required level by computer softwares. 5
16 Develops strategies, policies and implementation plans related to landscape planning and landscape design and evaluates the obtained results within the framework of quality processes 4
17 Collects data about landscape planning and landscape design and makes interpretation, teaches or announces the acquired knowledge in line with social, scientific and ethical values 5
18 Uses the knowledge of landscape planning and landscape design practice and problem solving skills in interdisciplinary studies 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 7 98
Assesment Related Works
    Homeworks, Projects, Others 1 4 4
    Mid-term Exams (Written, Oral, etc.) 1 3 3
    Final Exam 1 3 3
Total Workload: 150
Total Workload / 25 (h): 6
ECTS Credit: 6