CENG022 Geographic Data Processing

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
COMPUTER ENGINEERING (PhD) (ENGLISH)
Code CENG022
Name Geographic Data Processing
Term 2018-2019 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
PLO01 - On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering.
PLO02 - By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information.
PLO03 - Being aware of the new and developing practices of his / her profession and examining and learning when necessary.
PLO04 - Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions.
PLO05 - Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process.
PLO06 - Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design.
PLO07 - Has the skills of learning.
PLO08 - Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary.
PLO09 - Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering.
PLO10 - Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering.
PLO11 - Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering.
PLO12 - Observes social, scientific and ethical values in all professional activities.


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

Update Time: 16.01.2019 01:31