| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Learn the fundamentals, components, and applications of Geographic Information Systems (GIS),
- Gain knowledge about GIS data structures, coordinate systems, and data management,
- Become familiar with a GIS software through hands-on practical experience,
- Gain insight into GIS analysis functions and their application areas.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | No |
|---|
| Course Description | Definition and components of GIS, Maps, Map Projection Systems, Spatial Data Models, Spatial Data Structures, Sources of Spatial Data, Spatial Database Models, Creation of a Spatial Database, GIS Database Applications, GIS Software and Hardware, Spatial Data Visualization, Symbolization of Spatial Data, Spatial Queries and Analysis, Civil Engineering Applications, Spatial Programming. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to the Class and Geographical Information Systems (GIS) |
|
2nd Week |
Components of GIS, Basic principles, Its applications, GIS software packages, The usage areas of GIS, The general information of GIS software used in this course |
|
3rd Week |
GIS applications (1.2.3) Introduction, Tools and Toolbar functions, data types, add data, free data download |
|
4th Week |
GIS applications (4.5) Symbology, labelling, map generation, layout of a map |
|
5th Week |
GIS applications (6.7) Selection of GIS data, Report and graph generation, geographic coordinating of raster maps |
|
6th Week |
GIS applications (8) Vector database generation |
|
7th Week |
GIS applications (9) Editing features |
|
8th Week |
Midterm exam |
|
9th Week |
GIS applications (10) Data transformation/generation |
|
10th Week |
GIS applications (11.12) Add XY data, Create map package |
|
11th Week |
GIS applications (13.14) Joint Data Editing Attribute Table |
|
12th Week |
CrimeStat software package, Nearst Neighbor Hierarchical (NNH) Clustreing Analysis GIS-CrimeStat entegration, Hotspot Analysis, GIS-CrimeStat application of a pilot project |
|
13th Week |
CrimeStat software package, Nearst Neighbor Hierarchical (NNH) Clustreing Analysis GIS-CrimeStat entegration, Hotspot Analysis, GIS-CrimeStat application of a pilot project |
|
14th Week |
GIS-CrimeStat application of a pilot project, ArcMap: Network Analysis Extension |
|
15th Week |
Group Presentations |
|
| Recommended or Required Reading | Reference:
Kang-tsung Chang, Introduction to Geographic Information Systems with Data Set CDROM, McGraw-Hill Education; 7 edition (January 31, 2013).
Additional Resources:
Michael N. DeMers |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Case Study
- Problem Solving
- Practice
- Presentation
- Project
- Report Preparation
- Other
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
35 |
| Assignment |
2 |
20 |
| Attendance |
1 |
5 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
|
|
|
| Preparation for Final exam |
1 |
42 |
42 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
32 |
32 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
3 |
10 |
30 |
| Total Work Load | 150 |
| Total Work Load / 30 (h) | 5 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
