ECTS @ IUE ECTS @ IUE ECTS @ IUE ECTS @ IUE ECTS @ IUE ECTS @ IUE ECTS @ IUE

Syllabus ( GEOD 517 )


   Basic information
Course title: Industrial Photogrammetry
Course code: GEOD 517
Lecturer: Assoc. Prof. Dr. Bahadır ERGÜN
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 1/2, Fall and Spring
Level of course: Second Cycle (Master's)
Type of course: Area Elective
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: The aim of this course is to teach fundamental knowledge of industrial photogrammetry within digital photography and basic application techniques for interdiciplinary applications.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Use industrial photogrammetry and its image accusition systems with the fundamental industrial photogrammetric knowledge.

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Formulate and solve advanced engineering problems
    3. Operate modern equipments and hardwares, and use related technical skills in the field of Geodesy and Photogrammetry Engineering.
    4. Work effectively in multi-disciplinary research teams
    5. Find out new methods to improve his/her knowledge.
    6. Write progress reports clearly on the basis of published documents, thesis, etc
    7. Demonstrate professional and ethical responsibility.

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. Make calibration process for industrial cameras with mathematical alghorithms in Industrial Photogrammetry.

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Formulate and solve advanced engineering problems
    3. Operate modern equipments and hardwares, and use related technical skills in the field of Geodesy and Photogrammetry Engineering.
    4. Acquire scientific knowledge
    5. Design and conduct research projects independently
    6. Find out new methods to improve his/her knowledge.
    7. Effectively express his/her research ideas and findings both orally and in writing
    8. Write progress reports clearly on the basis of published documents, thesis, etc
    9. Demonstrate professional and ethical responsibility.

    Method of assessment

    1. Written exam
    2. Homework assignment
  3. Use software such as PICTRAN and PI-3000.

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Formulate and solve advanced engineering problems
    3. Operate modern equipments and hardwares, and use related technical skills in the field of Geodesy and Photogrammetry Engineering.
    4. Acquire scientific knowledge
    5. Find out new methods to improve his/her knowledge.
    6. Effectively express his/her research ideas and findings both orally and in writing
    7. Write progress reports clearly on the basis of published documents, thesis, etc
    8. Demonstrate professional and ethical responsibility.

    Method of assessment

    1. Homework assignment
   Contents Up
Week 1: Basics of Digital Photogrammetry
Week 2: Hardware in the Industrial Photogrammetry
Week 3: Hardware in the Industrial Photogrammetry
Week 4: Data Structure in the Industrial Photogrammetry
Week 5: Data Structure in the Industrial Photogrammetry
Week 6: Software in the Industrial Photogrammetry
Week 7: System Setup in the Industrial Photogrammetry
Week 8: Midterm Exam.
Week 9: System Design and Calibration in the Industrial Photogrammetry
Week 10: Calibration in the Industrial Photogrammetry
Week 11: System Calibration in the Industrial Photogrammetry
Week 12: System Analysis in the Industrial Photogrammetry
Week 13: Application: Close range photogrammetric data collection and modeling study in the close range expert measurement system.
Week 14: Application: Close range photogrammetric data collection and modeling study in the close range expert measurement system.
Week 15*: Application: Close range photogrammetric data collection and modeling study in the close range expert measurement system.
Week 16*: Final Exam.
Textbooks and materials: Computer Vision and Applications, Bernd Jahne, ISBN: 0123797772, Academic Press, 2001
Photogrammetry, 1993 Vol: I-II , Karl Kraus, ISBN:3427786846, Dümmler&Verlag ,1993
Close Range Photogrammetry and Machine Vision, K.B. Atkinson, ISBN:187032446X, Whittles Publishing, 1996
Recommended readings: Nahbereichs Photogrammetrie, Thomas Luhmann, ISBN:387907321X, Wichmann, 2000
Non-Topographic Photogrammetry, H. M. Karara, ISBN:0944426107, ASPRS,1989

  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 8 30
Other in-term studies: 13-15 5
Project: 0 0
Homework: 7-15 5
Quiz: 0 0
Final exam: 16 60
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 5 14
Practice, Recitation: 0 0
Homework: 6 10
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 2 2
Mid-term: 1 1
Personal studies for final exam: 10 1
Final exam: 3 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
-->