BÄ°L723 - GEOGRAPHIC DATA PROCESSING
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| GEOGRAPHIC DATA PROCESSING | BÄ°L723 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Project Design/Management | |||||
| Instructor (s) | Department Responsible (bbm-bologna@cs.hacettepe.edu.tr) | |||||
| Course objective | A basic course on spatial data processing. The emphasis is for students to understand the major phases of the spatial information processing cycle, including selecting an appropriate algorithm, collecting and analyzing data, and presenting the results. Applications of information technology in the fields of geographic information processing will be examined. | |||||
| Learning outcomes |
| |||||
| Course Content | Defining GIS and Introduction to Spatial Data File Formats, Projections and Coordinate Systems, Tabular Data Design and Functions, Data sources and data collection, The Raster Data File Format and Raster Analysis, Metadata, Georeferencing, Geocoding, Interpolation and Surface Modeling. | |||||
| References | ? Bernhardsen T., Geographic Information Systems: An Introduction, John Wiley and Sons, 2002. ? Burrough P.A., ve McDonnell R.A., Principles of Geographical Information Systems (Spatial Information Systems), Oxford University Press, 1998. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Defining GIS |
| Week 2 | Introduction to Spatial Data File Formats |
| Week 3 | Projections and Coordinate Systems |
| Week 4 | Tabular Data Design and Functions |
| Week 5 | Data sources and data collection |
| Week 6 | The Raster Data File Format and Raster Analysis |
| Week 7 | Metadata |
| Week 8 | Georeferencing |
| Week 9 | Geocoding |
| Week 10 | Midterm Exam |
| Week 11 | Interpolation |
| Week 12 | Surface Modeling |
| Week 13 | Project presentations |
| Week 14 | Project Presentations |
| Week 15 | Study of final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 1 | 10 |
| Project | 1 | 20 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 3 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 8 | 4 | 32 |
| Presentation / Seminar Preparation | 1 | 30 | 30 |
| Project | 1 | 60 | 60 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 26 | 26 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 26 | 163 | 230 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge. | X | ||||
| 2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency. | X | ||||
| 3. Graduates of a computer science program need to understand how theory and practice influence each other. | X | ||||
| 4. Graduates need to think at multiple levels of detail and abstraction. | X | ||||
| 5. Students will be able to think critically, creatively and identify problems in their research. | X | ||||
| 6. Graduates should have been involved in at least one substantial project. | X | ||||
| 7. Graduates should realize that the computing field advances at a rapid pace. | X | ||||
| 8. Graduates should conduct research in an ethical and responsible manner. | X | ||||
| 9. Graduates should have good command of technical terms in both Turkish and English. | X | ||||
| 10. Graduates should understand the full range of opportunities available in computing. | X | ||||
| 11. Graduates should understand that computing interacts with many different domains. | X | ||||
| 12. Graduates should develop the knowledge acquired at master level and be able to apply scientific methods in order to solve scientific problems. Graduates should be able to identify and conduct independent original research. | X | ||||
| 13. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest