To help students understanding graphic visualization of data
Prerequisite(s)
NONE
Corequisite(s)
NONE
Special Requisite(s)
NONE
Instructor(s)
Professor Kamil EREN
Course Assistant(s)
Schedule
Will be announced at the begining of the semester.
Office Hour(s)
Will be announced at the begining of the semester.
Teaching Methods and Techniques
-Lecture and discussion
Principle Sources
Chen, C., Information Visualization And Virtual Environments, Springer-Verlag, 1999
David, F. R., Adams, J. A., Mathematical Elements For Computer Graphics, Mcgraw Hill Inc., 1976
Earnshaw, R.A., Wiseman, N., An Introductory Guide To Scientific Visualization, 1992
Fortner, B., The Data Handbook (A Guide To Understanding The Organization And Vizulation Of Technical Data), Springer-Verlag, New York Inc., 1995
Harrington, S., Computer Graphics A Programming Approach, Mcgraw Hill Inc., 1987
Hearn, D., Baker, P., Computer Graphics (2nd ed.), Prentice Hall,, 1994
Watt, A., Fundamentals of Three-dimensional Computer Graphics, Addison-Wesley, 1989
Schroeder, M., The Visualization Toolkit: An Object-Oriented Approach to 3-D Graphics (2nd ed.), Prentice-Hall, 1997
Other Sources
-Foley, V.D., Feiner, H.P., Introduction to Computer Graphics, Addison-Wesley, 1994
Course Schedules
Week
Contents
Learning Methods
1. Week
Graphic devices
2. Week
Mathematical basis of computer graphics
3. Week
Geometry and line generations
4. Week
Transformations
5. Week
Scaling, rotating and reflection
6. Week
Windowing and clipping
7. Week
Interactions
8. Week
Working with 3D; curves and surfaces
9. Week
Organizing data storage; column, 2D and 3D matrix data
10. Week
Visualization of data with different methods; selection of appropriate method
11. Week
Data formats
12. Week
Scientific data formats, Graphic file formats
13. Week
Web integration of scientific information
14. Week
Animation
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Program Outcomes
PO-1
Develop and deepen knowledge in the field of Geomatics Engineering.
PO-2
Conceive the interdisciplinary interaction which the field of Geomatics Engineering is related with.
PO-3
Use of theoretical and practical knowledge within the field of Geomatics Engineering at a proficiency level.
PO-4
Interpret the knowledge about the field of Geomatics Engineering by integrating the information gathered from different disciplines and formulate new knowledge.
PO-5
Solve the problem faced related to the field of Geomatics Engineering by using research methods.
PO-6
Independently conduct studies that require proficiency in the field of Geomatics Engineering
PO-7
Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field of Geomatics Engineering.
PO-8
Demonstrate leadership in contexts that require solving problems related to the field of Geomatics Engineering.
PO-9
Evaluate knowledge and skills acquired at proficiency level in the field of Geomatics Engineering with a critical approach and direct the learning.
PO-10
Communicate current developments and studies within the field of Geomatics Engineering to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
PO-11
Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.
PO-12
Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
PO-13
Use advanced informatics and communication technology skills with software knowledge required by the field of Geomatics Engineering.
PO-14
Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethical values and teach these values.
PO-15
Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes.
PO-16
Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
