Geospatial Programming With Python
Geodesy and Geoinformation Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Geospatial Programming With Python | JJM523 | Elective | Master's degree | 1 | Fall | 8 |
Name of Lecturer(s)
Associate Prof. Dr. Taner ÜSTÜNTAŞ
Learning Outcomes of the Course Unit
1) Learn Python programming language syntax structure
2) Learn Python variables, list topic
3) Learn Python Tuple, dictionary topic
4) Learn Python functions, condition expressions, loops
5) Learn Python strings, files, debugging
6) Reading and writing different file formats for geographic information
7) Geo python applications
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
| Learning Outcomes | ||||||||||
| 1 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 2 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 3 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 4 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 5 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 6 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 7 | High | High | No relation | No relation | Middle | No relation | No relation | No relation | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Introduction to Programming
Course Contents
Python and open source libraries.
Weekly Schedule
1) Setting up Python and libraries2) Variables, list
3) Tuple, dictionary
4) Functions
5) Conditional expressions, loops
6) Dataframe and geodataframe structure
7) Dataframe and geodataframe structure
8) Midterm exam
9) Files, debugging
10) Reading and writing different file formats for geographic information
11) Reaching coordinates from bookmarks with geocoding libraries
12) Spatial analysis library application
13) Raster map algebra
14) Examples of map drawing with Python
15) Examples of map drawing with Python
16) Final exam
Recommended or Required Reading
1- Lawhead, J. (2019), Learning Geospatial Analysis with Python, 3rd Edition, ISBN:1789959276
2- Crickard, P. (2018), Mastering Geospatial Analysis with Python, ISBN:1788293339
3- Gray, W. (2019), Learn Python 3, ASIN: B07QFRXLQX
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Project Based Learning
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required