Methods of regional and environmental analysis - BMEGT42M103

The main aim of the course is to provide knowledge about spatial and environmental analysis and modelling skills, moreover to involve the students in solving comprehensive challenges from practice-oriented perspective.

1. The student has a knowledge about sources and database of spatial analyses;
2. The student understands the different sustainability challenges on various spatial levels and she/he can define the adequate responses;
3. The student has a knowledge about regional inequality indices;
4. The student has a knowledge of principles regarding environmental modelling;
5. The student has a knowledge of the soft-computing analysis methods.

1. The student is able to assess sustainability-related challenges;
2. The student is able to apply statistical methods;
3. The student is able to apply thematic mapping regarding social and environmental processes;
4. The student is able to define and select the best method based on the analysis framework;
5. The student is able to interpret the above-mentioned issues in a non-professional environment.

1. The students collaborate/cooperate with the lecturer and fellow students on acquiring knowledge;
2. The students expand their knowledge by continuous learning;
3. The students are open to use IT solutions;
4. The students strive to understand complex issues;
5. The students strive to understand the nature and problems associated with environmental and natural resources in the interest of securing the commonwealth of society;

1. The students are able to work individually in the field of local and regional economic development;
2. The students are open to critical feedbacks;
3. The students are able to perform tasks individually and with responsibility as a member of a project team;
4. The students are able to apply system-oriented thinking.

Lectures, problem discussions and case studies. Oral and written communication, use of IT, optional individual and group assignments and planning.

• Nemes Nagy J. (szerk) 2005: Regionális elemzési módszerek. – Regionális Tudományi Tanulmányok, 11. ELTE Regionális Földrajzi Tanszék – MTA–ELTE Regionális Tudományi Kutatócsoport, Budapest 284 p.– http://geogr.elte.hu/ref/REF_Kiadvanyok/REF_RTT_11/RTT-11-tartalom.htm
• ELEK I. (szerk.) (2007): Térinformatikai gyakorlatok. – ELTE Eötvös Kiadó, Budapest 560 p.
• Előadásanyagok diasorai.

Assessment of the learning outcomes described under 2.2. is based on two written tests.

A. During the semester: 1. Two written assignments must be completed. These will assess the basic knowledge of students and serve as a check of the understanding of basic concepts, terms, and relationships.

• 1st summative assessment: 50%
• 2nd summative assessment: 50%
• Total: 100%

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1) All of the written summative assessments may be retaken as per the relevant by-laws on performance assessment and examination. 2) A second retake opportunity will be provided upon payment of a fee.

Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 10.01.2022.

Subject includes the topics detailed in the course syllabus to ensure learning outcomes listed under 2.2. can be achieved. Timing of the topics may be affected by calendar or other circumstances in each semester.