Course Name Code Semester T+U Hours Credit ECTS
Applications With Computer Graphics BSM 629 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Doç.Dr. METİN VARAN
Course Lecturers
Course Assistants
Course Category
Course Objective
Course Content Application Perspectives for Computer Graphics, Scientific Data Visualtisation and Computer Graphics, Interfacing Actuators and Sensors with Computer Graphics, Geometric Computing, Rendering Algorithms, Real-Time Rendering and GPU Calculations, Motion Algorithms and Collision Detection, Physics-Engines and Computer Graphics, Virtual Reality Tools and Languages, Modelling and Simulation for Education and Training, Advanced User Interfaces, Computer Graphics in Engineering Applications
# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
1 Application Perspectives for Computer Graphics
2 Scientific Data Visualisation Techniques and Applications
3 Scientific Data Visualisation Techniques and Applications
4 Interfacing Sensors with Computer Graphics
5 Interfacing Actuators with Computer Graphics
6 Geometric Computing
7 Rendering Algorithms
8 Real-Time Rendering and GPU Calculations
9 Physics-Engines and Computer Graphics
10 Virtual Reality Tools and Languages
11 Modelling and Simulation for Education and Training
12 Design Principles of Advanced User Interfaces
13 Computer Graphics in Engineering Applications
14 Computer Graphics in Engineering Applications
Course Notes 1.Visual Perception from a Computer Graphics Perspective Hardcover, William Thompson (Author), Roland Fleming (Author), Sarah Creem-Regehr (Author), Jeanine Kelly Stefanucci (Author) <br>2.Real-Time Rendering, Third Edition Hardcover with Tomas Akenine-Moller (Author), Eric Haines (Author), Naty Hoffman (Author)<br>3.Computer Graphics: Principles and Practice (3rd Edition) Hardcover , John F. Hughes (Author), Andries van Dam (Author), Morgan McGuire (Author), David F. Sklar (Author), <br>4.3D Math Primer for Graphics and Game Development, 2nd Edition Hardcover<br>5.Game-Engine-Architecture,Jason-Gregory
Course Resources 6. Introduction to Scientific Visualization , Helen Wright,Springer,2007
7. Scientific Visualization: The Visual Extraction of Knowledge from Data
Series: Mathematics and Visualization, Bonneau, Georges-Pierre, Ertl, Thomas, Nielson, Gregory (Eds.),2006,Springer
8. The Visual Display of Quantitative Information, Edward Tufte
9. Information Graphics, Sandra Rendgen, Julius Wiedemann
10. Computer Graphics: Geometric Modeling,Leonidas Guibas
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 20
1. Proje / Tasarım 20
2. Proje / Tasarım 20
3. Proje / Tasarım 20
4. Proje / Tasarım 20
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 6 6
Project / Design 4 12 48
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6