Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05081080 | Computer Graphics | 4 | Spring | 8 | 3+0+0 | 3 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Ali Osman ÇIBIKDİKEN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Ali Osman ÇIBIKDİKEN | A-124 | [email protected] | 7585 | Monday 14.00-15.00 |
Course Content
OpenGL Programming, Line and Curve Drawing, Display Lists, Geometric Transformation, Two-Dimensional Viewing, Computer Animation, Splines, Visible Surface Detection, Illumination Models, Texture mapping
Objectives of the Course
This course aims to convey understanding of the process of modeling and generating images of 3D objects. starting by studying the basic process of drawing primitive objects including lines, circles, and polygons on a display, we will explore the process of building 2D and 3D mathematical models of more complex objects, manipulating and combining these models, and projecting the models onto a 2D image space. The course will also stress windowing systems and drawing more complex primitive objects such as curves and surfaces.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose | 5 |
| P4 | Ability to develop, select and use modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively | 3 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Must be able to propose innovative solutions according to the current state of basic sciences and technology. | P.2.1 | |
| O2 | Knowledge of algorithm design and analysis techniques. | P.3.1 | |
| O3 | Data analysis | P.2.22 | 1 |
| O4 | Algorithm | P.2.23 | 7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Overview of Graphical Systems, Introduction to OpenGL |
| 2 | Programming in OpenGL, Line and Curve Drawing |
| 3 | Drawing and Fill-Area Primitives, Display List |
| 4 | Attributes of Graphics Primitives |
| 5 | Geometric Transformation |
| 6 | Two-Dimensional Viewing |
| 7 | Hierarchical Modeling |
| 8 | Midterm Exam |
| 9 | 3D Object Representations |
| 10 | Spline Representation |
| 11 | Visible Surface Detection |
| 12 | Computer Animation |
| 13 | Texture mapping, OpenGL Texture Options |
| 14 | Interactive Input Methods |
Textbook or Material
| Resources | Computer Graphics, C Version, D. Hearn, M. P. Baker, Pearson |
| 3-D Computer Graphics: A Mathematical Introduction with OpenGL, S. R. Buss, Cambridge University Press |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | - | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 4 | 56 |
| Midterms | 1 | 2 | 2 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 2 | 2 |
| Other | 14 | 4 | 56 |
| Total Work Load: | 158 | ||
| Total Work Load / 30 | 5,27 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P3 |
|---|---|---|---|
| O1 | Must be able to propose innovative solutions according to the current state of basic sciences and technology. | - | - |
| O2 | Data analysis | 4 | - |
| O3 | Algorithm | - | 5 |
| O4 | Knowledge of algorithm design and analysis techniques. | - | 3 |