Subject Datasheet

Download PDF

I. Subject Specification

1. Basic Data
1.1 Title
Geoinformatical systems
1.2 Code
1.3 Type
Module with associated contact hours
1.4 Contact hours
Type Hours/week / (days)
Seminar 2
1.5 Evaluation
1.6 Credits
1.7 Coordinator
name Dr. György Szabó
academic rank Associate professor
1.8 Department
Department of Photogrammetry and Geoinformatics
1.9 Website
1.10 Language of instruction
1.11 Curriculum requirements
1.12 Prerequisites
Basic knowledge of database managemet, elemetary geospatial software application experience required, pyton language experience can be useful.
1.13 Effective date
1 September 2022

2. Objectives and learning outcomes
2.1 Objectives
Within the framework of the course, students solve independent research tasks related to their PhD theme.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
  1. understand the main principles of location-based environmental analysis,
  2. know the processes of location based environmental phenomena and how they are described,
  3. know the steps of digital representation of the built and natural environment,
  4. familiar with spatial data capture, spatial analysis and visualization techniques
B. Skills
  1. to create a structural spatial model of our urban and rural environment,
  2. create indices for the analysis of the complex interaction between nature, infrastructure, society and culture, spatial indicators
C. Attitudes
  1. open to the use of geospatial tools, to produce new scientific results
  2. make efforts to carry out relevant decision support analyses
D. Autonomy and Responsibility
  1. independently able to model spatial phenomena and realize their relationships,
  2. independently capable of basic spatial analysis,
  3. independently capable of using heterogeneous spatial databases,
  4. systematic thinking when examining spatial environmental phenomena and susainability
2.3 Methods
Lectures, workshops , course discussion, professional project report and scientific paper composition
2.4 Course outline
WeekTopics of lectures and/or exercise classes
1.Entry test of participants
Requirements, methods, resources
2.Location based data driven decision support in the XXI. century
3.Reserach paper requirements, sample papers
4.GS based project planing framework
10.Mid-semester report
14.Final delivery of the report and paper

The above programme is tentative and subject to changes due to calendar variations and other reasons specific to the actual semester. Consult the effective detailed course schedule of the course on the subject website.
2.5 Study materials
Study materials, tutorials on the webpage of the course
2.6 Other information
2.7 Consultation
This Subject Datasheet is valid for:
2022/2023 semester I

II. Subject requirements

Assessment and evaluation of the learning outcomes
3.1 General rules
The evaluation of the semester's work is carried out in the form of an exam with the oral defense of the following written works prepared during the semester:
1.Scientific paper: Writing a GIS based, location specific scientific publication related to PhD research in accordance with the published content and form requirements
2.Project specification: Develop a technological project framework related to PhD research, business application based on geospatial system, with special regard to the specification of the information products to be created, the description of the range of basic data required and the cost/benefit analysis of the system to be built
3.2 Assessment methods
Evaluation formAbbreviationAssessed learning outcomes
semester activitySAA.1-A.4; B.1-B.2; C.1-C.2; D.1-D.4
Oral exam, OE, Scientefic paper, Project technical report
The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
Sum 100%
3.4 Requirements and validity of signature
Active semeter work are required
Delivery of the mid-semeter evaluation report
3.5 Grading system
GradePoints (P)
excellent (5)>80
good (4)70-79
satisfactory (3)60-69
passed (2)>=50
failed (1)<50
3.6 Retake and repeat
Requlated by BME Code of Studies
3.7 Estimated workload
3.8 Effective date
1 September 2022
This Subject Datasheet is valid for:
2022/2023 semester I