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| SBP2008 | GIS and Planning | 2+2+0 | ECTS:5 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of URBAN and REGIONAL PLANNING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures and 2 hours of practicals per week | | Lecturer | Doç. Dr. Derya MUMCU KÜÇÜKER | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The objectives of this course include teaching the theoretical background of GIS and in this context the acquisition of the basic practical knowledge of organizing the planning related spatial data obtained from different resources in an information system with a geographical database perspective; geographic and attribute data analysis and generating the maps that support the decision making process in planning by use of GIS. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Learn basic theoretical background of GIS. | 12,17,19 | 1,3,4, | | LO - 2 : | Organize geographical and attribute data obtained from different resources in an information system context. | 12,17,19 | 1,3,4, | | LO - 3 : | Carry out analyses related to any kind of planning problem by utilizing the data that organized in a GIS environment. | 12,17,19 | 1,3,4, | | LO - 4 : | Generate the input that will support the decision making process in planning by synthesis maps in GIS. | 12,17,19 | 1,3,4, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Theoretical background of Geographical Information Systems (GIS), fields that uses GIS, sample GIS applications. GIS data sources and related technologies, GIS data models and their conversions, vector data models in GIS (topological vs. spaghetti), geographical database, data quality, consistency and integrity, coordinate definitions for geographical data and map information, data analysis by means of basic GIS functions, planning related analyses, 3D GIS, presentation of GIS data and preparation for printing. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introducing the course content, sources, and discussion of expectations | | | Week 2 | THEORY: Introduction to GIS: definitions, components, fields that uses GIS, sample GIS applications
PRACTICE: General window and menu structure, GIS data directory structure, filing system, visualization of geographical and attribute data that is already created in GIS, simple selection queries by means of one type of data on another | | | Week 3 | THEORY: Map, geoid, datum, projections and coordinate systems and the importance and requirement of correct datum and coordinate information in GIS
PRACTICE: Creation of data tables/layers with correct datum and coordinate information, attribute (non graphic) data entry, geographic database creation, data organization (geographic and attribute data) | | | Week 4 | THEORY: Explanation of concepts concerning geographical data ve GIS data models: Raster and vector data
PRACTICE: Registration of raster maps with known coordinates and with a vector map, digitization, conversion between vector and raster data | | | Week 5 | THEORY: GIS data source and introduction of GIS related technologies (CAD, UA, GPS,?)
PRACTICE: Visualization of data obtained through GIS data sources, their transformation, and data differences between original and transformed data | | | Week 6 | THEORY: Basic GIS functions/analyses
PRACTICE: Basic GIS functions exercises, thematic mapping, updating attribute data, point creation, update of attribute data through geographic functions, graphics | | | Week 7 | THEORY: Vector data models in GIS: Topological vs. spaghetti models
PRACTICE: Comparison of topological and spaghetti models, topological errors and their corrections (object editing,?) | | | Week 8 | Revision of the previous theoretical and practical subjects, exercises | | | Week 9 | Midterm exam | | | Week 10 | THEORY: Geographical and attribute data quality, consistency and integrity, relating GIS with DBMS and data update through this system, establishing and using hyperlinks in GIS
PRACTICE: Examining the errors, corrections, attribute data update and computations, relating GIS with DBMS software (.mdb), establishing and using hyperlinks | | | Week 11 | THEORY: Planning related queries, analyses, syntheses, overlays (threshold analysis, suitability analysis, network analysis,?) using GIS
PRACTICE: Practicing the lecture content | | | Week 12 | THEORY: 3D GIS
PRACTICE: Creation of point elevation data and DEM, slope, aspect, volume and cross sections, point and area visibility analyses | | | Week 13 | PRACTICE: Presentation in GIS environment: Layout preparation, graphics, and other cartographical arrangements | | | Week 14 | Revision of the previous theoretical and practical subjects, exercises | | | Week 15 | Revision of the previous theoretical and practical subjects, exercises | | | Week 16 | Final exam | | | |
| 1 | Tecim, V. (2008) Coğrafi Bilgi Sistemleri: Harita Tabanlı Bilgi Yönetimi, Ankara. | | | 2 | Yomralıoğlu T. 2002; Cografi Bilgi Sistemleri: Temel Kavramlar ve Uygulamalar, Trabzon: İber Ofset | | | |
| 1 | Aronoff, S., 1991, Geographic Information Systems: A Management Perspective, Ottawa: WDL Publications | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 16/04/2024 | 1 | 25 | | Practice | 3
4
5
6
7
8
9
11 | 5/03/2024
12/03/2024
19/03/2024
26/03/2024
02/04/2024
09/04/2024
16/04/2024
30/04/2024 | 1 | 25 | | End-of-term exam | 16 | 11/06/2024 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 12 | 48 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 4 | 2 | 8 | | Arasınav | 4 | 1 | 4 | | Uygulama | 2 | 14 | 28 | | Ödev | 2 | 6 | 12 | | Dönem sonu sınavı için hazırlık | 4 | 1 | 4 | | Dönem sonu sınavı | 4 | 1 | 4 | | Total work load | | | 150 |
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