Course Name 
Computational Geometry

Code

Semester

Theory
(hour/week) 
Application/Lab
(hour/week) 
Local Credits

ECTS

CE 380

Fall/Spring

3

0

3

5

Prerequisites 
None


Course Language 
English


Course Type 
Elective


Course Level 
First Cycle


Course Coordinator    
Course Lecturer(s)    
Assistant(s)   
Course Objectives  The objective of this course is to teach the students techniques of solving geometric problems using algorithmic methods. 
Course Description 
The students who succeeded in this course;

Course Content  Wellknown computational geometry problems, their algorithmic solutions and computational geometry problem solving techniques. 

Core Courses  
Major Area Courses  
Supportive Courses 
X


Media and Management Skills Courses  
Transferable Skill Courses 
Week  Subjects  Related Preparation 
1  Background & Introduction  
2  Polygon Triangulation I  Chapter 1, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
3  Polygon Triangulation II  Chapter 1, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
4  Polygon Partitioning  Chapter 2, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
5  Convex Hulls in Two Dimensions I  Chapter 3, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
6  Convex Hulls in Two Dimensions II  Chapter 3, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
7  Review  
8  Midterm  
9  Convex Hulls in Three Dimensions I  Chapter 4, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
10  Convex Hulls in Three Dimensions II  Chapter 4, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
11  Voronoi Diagrams  Chapter 5, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
12  Delaunay Triangulations  Chapter 5, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
13  Search and Intersection I  Chapter 7, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
14  Search and Intersection II  Chapter 7, Computational Geometry in C (2nd Edition), Joseph O'Rourke 
15  Review  
16  Review of the Semester 
Course Notes/Textbooks  Computational Geometry in C (2nd Edition), Joseph O'Rourke, Cambridge University Press 
Suggested Readings/Materials  Computational Geometry Algorithms and Applications (3rd Edition), Mark De Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars, SpringerVerlag Publishing 
Semester Activities  Number  Weigthing 
Participation  
Laboratory / Application  
Field Work  
Quizzes / Studio Critiques  
Homework / Assignments 
2

40

Presentation / Jury  
Project  
Seminar / Workshop  
Oral Exams  
Midterm 
1

25

Final Exam 
1

35

Total 
Weighting of Semester Activities on the Final Grade  65 

Weighting of EndofSemester Activities on the Final Grade  35 

Total 
Semester Activities  Number  Duration (Hours)  Workload 

Theoretical Course Hours (Including exam week: 16 x total hours) 
16

3

48

Laboratory / Application Hours (Including exam week: 16 x total hours) 
16


Study Hours Out of Class 
16

3


Field Work  
Quizzes / Studio Critiques  
Homework / Assignments 
2

10


Presentation / Jury  
Project  
Seminar / Workshop  
Oral Exam  
Midterms 
1

16


Final Exam 
1

18


Total 
150

#

Program Competencies/Outcomes 
* Contribution Level


1 
2 
3 
4 
5 

1  To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. 
X  
2  To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. 
X  
3  To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose. 
X  
4  To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively. 
X  
5  To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems. 
X  
6  To be able to work effectively in Software Engineering disciplinary and multidisciplinary teams; to be able to work individually. 

7  To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions. 

8  To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions. 

9  To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. 

10  To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. 

11  To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language. 
X  
12  To be able to speak a second foreign language at a medium level of fluency efficiently. 

13  To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering. 
X 
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest