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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING (MASTER) (WITH THESIS) | |
| Code | YZ501 |
| Name | Raster Graphics |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisansüstü Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ULUS ÇEVİK |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
Introducing the raster devices and algorithms used on them.
Course Content
Hardware , software and algorithms for raster devices such as video displays: Frame buffers, multiprocessor cellular systems, hidden-line/ visible surface processing, modelling of shadows, curved surfaces, natural textures.
Course Precondition
Not available
Resources
Internet sources
Notes
Computer Graphics, Principles and Practice. Third Edition. JOHN F. HUGHES, ANDRIES VAN DAM, MORGAN MCGUIRE, DAVID F. SKLAR, JAMES D. FOLEY, STEVEN K. FEINER, KURT AKELEY.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Comprehends the development of raster devices, |
| LO02 | Designs, and uses a frame buffer for an effective display of graphics, |
| LO03 | Processes hidden/visible areas on graphics objects, |
| LO04 | Implements and uses curved surfaces, |
| LO05 | Creates shadows for photo-realism, |
| LO06 | Adds textures on graphical objects. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Beceriler - Bilişsel, Uygulamalı | To be able to access information broadly and deeply by conducting scientific research in the field, to be able to evaluate, interpret and apply the information. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Has a comprehensive knowledge of current techniques and methods applied in engineering and their limitations. | 4 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | To be able to use uncertain, limited or incomplete data to complete and apply knowledge using scientific methods; to be able to use knowledge from different disciplines together. | 5 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Is aware of new and emerging practices of the profession, examines and learns them when needed. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions. | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Develops new and/or original ideas and methods; designs complex systems or processes and develops innovative/alternative solutions in their designs. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Designs and implements theoretical, experimental and modeling-based research; examines and solves complex problems encountered in this process. | 4 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to work effectively in disciplinary and multidisciplinary teams, to lead such teams and to develop solution approaches in complex situations; to be able to work independently and take responsibility. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | To be able to communicate orally and in writing in a foreign language at least at the B2 level of the European Language Portfolio. | |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | To be able to communicate the process and results of his/her studies systematically and clearly in written or oral form in national and international environments in or outside the field. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Knows the social, environmental, health, safety, legal, project management and business life practices of engineering applications and is aware of the constraints these impose on engineering applications. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Observes social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Hardware, software and algorithms for raster devices such as video displays. | Nothing | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Previous week's subject continued. | Review the previous lecture | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Frame buffers | Review the previous week's contents | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Multiprocessor cellular systems. | Review the previous lecture contents | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Cellular systems, continued. | Reading the previous lecture contents | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Hidden-line/ visible surface processing. | Review | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Surface processing, continued. | Review the previous lecture contents | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Review the whole lecture contents | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Modeling of shadows. | Reading on the subject | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Curved surfaces. | Reading on the related subject | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Surfaces, continued. | Review the previous lecture contents | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Natural textures. | Review the previous lecture contents | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Writing an application program. | Review the C programming skills | Öğretim Yöntemleri: Bireysel Çalışma |
| 14 | Application program, continued. | Studying on the program | Öğretim Yöntemleri: Bireysel Çalışma |
| 15 | Writing an application program, continued. | Carrying on writing the program | Öğretim Yöntemleri: Bireysel Çalışma |
| 16 | Term Exams | Review the whole previous lecture contents | Öğretim Yöntemleri: Bireysel Çalışma |
| 17 | Term Exams | Review the previous lecture contents | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 20 | 20 |
| Total Workload (Hour) | 162 | ||
| Total Workload / 25 (h) | 6,48 | ||
| ECTS | 6 ECTS | ||