TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| COMPUTER ENGINEERING (PhD) (ENGLISH) | |
| Code | CENG022 |
| Name | Geographic Data Processing |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi BUSE MELİS ÖZYILDIRIM |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
It aims comprehension of geographic data's structure, determining the optimum storage method, analysis and interpretation
Course Content
It includes structures, storage, analysis and visualization of geographic data
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Comprehends the geographic data |
| LO02 | Comprehends geographic statistic |
| LO03 | Learns to implement machine learning algorithms on geographic data |
| LO04 | Interprets the results |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to geographic information systems | Research on the subject | |
| 2 | Structure of the geographic data | Research on the subject | |
| 3 | Statistical methods | Research on the subject | |
| 4 | Explorating geographic data | Research on the subject | |
| 5 | Analysis of geographic data | Research on the subject | |
| 6 | Modelling the geographic data | Research on the subject | |
| 7 | Comparing the tools used for modelling the geographic data | Research on the subject | |
| 8 | Mid-Term Exam | Reading the notes | |
| 9 | Analysis of point pattern | Research on the subject | |
| 10 | Modelling point pattern | Research on the subject | |
| 11 | Analysis of spatial continuous data | Research on the subject | |
| 12 | Analysis of area data | Research on the subject | |
| 13 | Application of machine learning methods over geographic dat | Research on the subject | |
| 14 | Application of machine learning methods over geographic dat | Research on the subject | |
| 15 | Application of deep learning methods over geographic dat | Research on the subject | |
| 16 | Term Exams | Reading the notes | |
| 17 | Term Exams | Reading notes |