Survey And Cadastre
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

General course introduction information

Course Code:

MHKD230

Course Name:

Photogrammetry I

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department/Faculty Elective

Course Level:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Assoc. Prof. BİROL ALAS

Course Lecturer(s):

Dr.Öğr.Üyesi OKTAY AKSU

Course Assistants:

Course Objective and Content

Course Objectives:	This course is designed to indicate the importance of Photogrametry, a rapidly growing technological method for obtaining spatial data in mapping and various applications.
Course Content:	Definition and historical development of photogrammetry, applications of photogrammetry, applications of photogrammetry, explanation of basic photogrammetric principles, description of photogrammetric methods, 2D and 3D transformations, image coordinate system, digital photogrammetry.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) To state basic photogrammetric principles
2) To describe photogrammetric methods.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) To underline photogrammetric applications in geomatics.
Field Specific Competence
1) To judge aerial triangulation.
2) To assess related software and hardware
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Definition and historical development of photogrammetry	Lecture Notes
2)	Applications of photogrammetry, Photogrammetry techniques	Lecture Notes
3)	Fundamentals of photogrammetry, Coordinate Transformations: 2D and 3D Transformations	Lecture Notes
4)	Weather Cameras and Images, Camera Calibration, Differences Between Analog and Digital Camera	Lecture Notes
5)	Image Coordinate Systems	Lecture Notes
6)	Stereo Model Concept, Mutual and Absolute Orientation Parameters	Lecture Notes
7)	Components of Digital Photogrammetric System, Importance of Flight Plans	Lecture Notes
8)	Midterm Exam	none
9)	Image Matching	Lecture Notes
10)	DTM (Digital Terrain Model) - Digital Terrain Model	Lecture Notes
11)	TIN data Model with ArcGIS software	Lecture Notes
12)	Orthophoto	Lecture Notes
13)	Photogrammetry Applications	Lecture Notes
14)	Photogrammetry Applications	Lecture Notes
15)	Final Exam	none
16)	Final Exam	none

Sources

Course Notes / Textbooks:	Ders Notları
References:	"Photogrammetry: Geometry from Images and Laser Scans, Karl Kraus 2nd Edition, Walter de Gruyter, 2007 Introduction to Modern Photogrammetry, Edward M. Mikhail, James S. Bethel, J. Chris McGlone, Wiley, 2001"

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) He/she knows main topics about profession with also has knowledge and awareness about social resposibility, ethical values and princibles of profession.
2) He/she has knowledge about basic mathematichal computing and problem solving about the issues of profession.
3) He/ she has knowledge about algorithm, basic programming, data structures and types, database management systems spatial database for operation of the software which are required by profession.
4) He/she has knowledge about all measurement, calculation, and exercising in the fields of survey and cadastre.
5) He/she has knowledge about legislation, ability of follow the changes and has command of the process in the fields of survey and cadastre.
6) He/she has ability to use technological tools and programs, know working and scientific principles of these technology that existed in profession area
7) He/she knows main topics, expertising, legislation and urban reneval issues about real estate.
8) He/she has command of application all kinds of engineering project to area.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	He/she knows main topics about profession with also has knowledge and awareness about social resposibility, ethical values and princibles of profession.
2)	He/she has knowledge about basic mathematichal computing and problem solving about the issues of profession.
3)	He/ she has knowledge about algorithm, basic programming, data structures and types, database management systems spatial database for operation of the software which are required by profession.
4)	He/she has knowledge about all measurement, calculation, and exercising in the fields of survey and cadastre.
5)	He/she has knowledge about legislation, ability of follow the changes and has command of the process in the fields of survey and cadastre.
6)	He/she has ability to use technological tools and programs, know working and scientific principles of these technology that existed in profession area
7)	He/she knows main topics, expertising, legislation and urban reneval issues about real estate.
8)	He/she has command of application all kinds of engineering project to area.

Learning Activity and Teaching Methods

Field Study
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Homework
Problem Solving
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Oral Examination
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	12	36
Homework Assignments	11	33
Midterms	2	9
Final	3	15
Total Workload		135