Course detail

Geographic Information Systems

FAST-MR001Acad. year: 2018/2019

Course will provide information on available tools and possibilities of using geographic information systems (GIS) in urban engineering. GIS is a powerful tool for managing, analyzing and presenting data with a wide range of applications in this field. Students will gain knowledge and practical skills in the following areas:
- the possibility of using GIS in urban engineering,
- hardware and software for GIS,
- input data for GIS in urban engineering,
- management of input data, data models,
- GIS analysis tools,
- presentation of the results of analyzes, map creation.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Aleš Dráb, Ph.D.

Department

Institute of Water Structures (VST-VST)

Learning outcomes of the course unit

Students will gain:
- basic expertise in GIS,
- an overview of the available hardware and GIS applications usable in the field of urban engineering,
- an overview of the possible practical applications of GIS in the field of urban engineering,
- practical skills in the use of GIS in solving problems of urban engineering based on the completion of the semester project.

Prerequisites

geodesy, informatics, information technology, urban planning, river engineering and weirs

Co-requisites

water infrastructure, utilities

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations. Teaching involves the use of e-learning (LMS Moodle). Part of the course is also the completion of the semester project.

Assesment methods and criteria linked to learning outcomes

Successful completion of the course requires the following conditions: 100% presence, exceptionally 2 seminars - apologized, for exam the credit is necessary - semester project completion, for positive evaluation at least partial knowledge in each question

Course curriculum

1. Introduction to GIS.
2. Possibilities of GIS in urban engineering - case studies.
3. Hardware and software for GIS.
4. Data formats.
5. Input data for GIS in urban engineering.
6. Data management, data models.
7. - 9. Data analysis.
10. - 11. Presentation of the results of analyzes, map creation.
12. Web GIS applications.
13. Mobile GIS.

Work placements

not available

Aims

The goals of the course are:
to teach the principles and operation of geographic information systems;
to show how spatial hydrologic modeling can be done by developing a digital representation of the environment in the GIS, then adding functions simulating hydrologic processes;
to develop individual experience in the use of GIS in water management through execution of a term project.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

co-operation on practical applications, research

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme B-P-C-MI (N) Bachelor's

    branch MI , 4. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. Aleš Dráb, Ph.D.

Syllabus

1. Introduction to GIS.
2. Possibilities of GIS in urban engineering - case studies.
3. Hardware and software for GIS.
4. Data formats.
5. Input data for GIS in urban engineering.
6. Data management, data models.
7. - 9. Data analysis.
10. - 11. Presentation of the results of analyzes, map creation.
12. Web GIS applications.
13. Mobile GIS.

Exercise

26 hours, compulsory

Teacher / Lecturer

doc. Ing. Aleš Dráb, Ph.D.

Syllabus

1. Introduction to GIS, the possibility of using GIS in urban engineering, available software and technology.
2. Semester project requirements.
3.- 4. Basic principles of GIS.
5. - 7. Data Management - data formats, data sources, data preprocessing for analysis.
8. - 11. Data analysis - basic analysis tools.
12. Presentation of results of analyzes - map creation.
13. Presenting the results of semester projects.