MHKD230 Photogrammetry IIstanbul Okan UniversityDegree Programs Survey And CadastreGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
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: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
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