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School of Chemical and Environmental Engineering

Now offering two distinct diplomas: Chemical Engineering and Environmental Engineering

Geographical Information Systems

1. COURSE INFORMATION:

School Chemical and Environmental Engineering
Course Level Undergraduate
Direction -
Course ID ENVE 224 Semester 4th
Course Category Required
Course Modules Instruction Hours per Week ECTS
Lectures and Laboratory assignments 4
Th=1, E=0, L=3
4
Course Type  Scientific area, General Background
Prerequisites  
Instruction/Exam Language Greek
The course is offered to Erasmus students No
Course URL https//www.eclass.tuc.gr/courses/MHPER242/  (in Greek)

 

2. LEARNING OUTCOMES

Learning Outcomes

The course includes an introduction to systemic parts of Geographical Information Systems (GIS), geographical data, software of GIS, collection, digitization, data storage, models, data bases and spatial data structures, basic editing digital geographic data, analysis and applications of GIS.

Upon successful completion of this course the students will acquire new knowledge and specific skills on the following subjects:

  • Will have knowledge of the various types of geographical data and models and knowledge on basic advantages and disadvantages of GIS.
  • Will be capable to  organize an application, using GIS on environmental problems.
  • Can evaluate the degree of difficulty in a case study and can estimate the necessary time for the completion of the appropriate GIS.
  • Can work with his/her colleagues for the collection, digitization and editing of geographical data in order to answer in decision making questions on natural and manmade environment.
  • Will have knowledge of the “ArcGIS” software, which GIS is the most used in Greece.

 

General Competencies/Skills
  • Review, analyse and synthesise data and information, with the use of necessary technologies
  • Decision making
  • Work autonomously
  • Work in teams

3. COURSE SYLLABUS

  1. Introduction to GIS.
  2. Collecting data from public and private institutions.
  3. Collecting data using surveying and statistical methods.
  4. Digitization-data storage.
  5. Models and spatial data structures.
  6. Basic editing digital geographical data.
  7. Geographical analysis.
  8. Mapping data.
  9. Basic applications of GIS.
  10. Applications of GIS on environmental planning.
  11. Applications of spatial analysis.
  12. Applications of Remote Sensing using GIS (quest speaker)
  13. Applications of GIS in water resources (quest speaker).

4. INSTRUCTION and LEARNING METHODS - ASSESSMENT

Lecture Method Direct (face to face)
Use of Information and Communication Technology Specialized software, Power point presentations, E-class support
Instruction Organisation Activity Workload per Semester
(hours)
- Lectures 13
- Exercises based on theory of GIS, without using computers – Reports – Autonomous Study 48
- Laboratory exercises using the software of “ArcGIS” 39
Course Total 100

Assessment Method

Ι. Written final examination (50%).
- Questions of theoretical knowledge.
- Theoretical problems to be resolved.

II. Exercises based on theory of GIS (20%)

ΙΙI. Laboratory exercises (30%).

5. RECOMMENDED READING

  • Book Eudoxus: [86192352] ΜΑΘΑΙΝΟΝΤΑΣ ΤΑ GIS ΣΤΗΝ ΠΡΑΞΗ, ΤΣΟΥΧΛΑΡΑΚΗ ΑΝΔΡΟΝΙΚΗ, ΑΧΙΛΛΕΩΣ ΓΕΩΡΓΙΟΣ, ΚΟΥΡΓΙΑΛΑΣ ΝΕΚΤΑΡΙΟΣ
  • Book Eudoxus:[77111885]:Γεωγραφικά Συστήματα Πληροφοριών και Ανάλυση Χώρου, Κουτσόπουλος Κωστής

6. INSTRUCTORS

Course Instructor: Assistant Professor A. Tsouchlaraki (Faculty - ChEnvEng)
Lectures: Assistant Professor A. Tsouchlaraki (Faculty - ChEnvEng)
Tutorial exercises:  
Laboratory Exercises: Assistant Professor A. Tsouchlaraki (Faculty - ChEnvEng)