• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

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

1. Make model from stereo digital image pairs within fundamental knowledge of digital 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. Develop an awareness of continuous learning in relation with modern technology
   7. Find out new methods to improve his/her knowledge.
   8. Effectively express his/her research ideas and findings both orally and in writing
   9. Write progress reports clearly on the basis of published documents, thesis, etc
   10. Demonstrate professional and ethical responsibility.

   Method of assessment

   1. Written exam
2. Make inner and exterior orientation of stereo image pairs with control points.

   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. Develop an awareness of continuous learning in relation with modern technology
   7. Find out new methods to improve his/her knowledge.
   8. Effectively express his/her research ideas and findings both orally and in writing
   9. Write progress reports clearly on the basis of published documents, thesis, etc
   10. Demonstrate professional and ethical responsibility.

   Method of assessment

   1. Written exam
3. Use the PI-3000 and Pictran software for application in the digital photogrammetric process.

   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. 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
Week 1:	Optical and Mathematical Basics for Photogrammetry
Week 2:	Optical and Mathematical Basics for Photogrammetry
Week 3:	Hardware of Digital Image Accusation Systems
Week 4:	Sowtware and Data Structure of Digital Image Accusation Systems
Week 5:	Coordinate systems in Digital Photogrammetry
Week 6:	Coordinate systems in Digital Photogrammetry
Week 7:	Midterm Exam.
Week 8:	Interior Orientation in Digital Photogrammetry
Week 9:	Exterior Orientation in Digital Photogrammetry
Week 10:	2D and 3D Data Structure in Digital Photogrammetry
Week 11:	2D Data Analysis in Digital Photogrammetry
Week 12:	3D Data Analysis in Digital Photogrammetry
Week 13:	Application I
Week 14:	Application II
Week 15*:	Application III
Week 16*:	Final Exam.
Textbooks and materials:	Photogrammetry Vol:I-II, Karl Kraus, ISBN:3427786846, Dümmler&Verlag, 1993 Introduction to Modern Photogrammetry, Edward M. Mikhail, ISBN:0471309249, John Wiley & Sons Inc., 2000
Recommended readings:	Elements of Photogrammetry, Paul R. Wolf, ISBN:0072924543, McGraw-Hill Comp., 2000 Close Range Photogrammetry and Machine Vision, K.B. Atkinson, ISBN:187032446X, Whittles Publishing, 1996
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	7	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
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	1
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)