Rapor Tarihi: 13.04.2026 03:06
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction To Computer Engineering | BM103 | Turkish | Compulsory | 1. Semester | 2 + 0 | 2.0 | 2.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Lecture, Question-Answer, Presentation |
| Course Coordinator | Prof. Dr. Resul KARA, Doç. Dr. Zehra KARAPINAR ŞENTÜRK, Dr. Öğr. Üyesi Hüseyin BODUR |
| Instructor(s) | Dr. Öğr. Üyesi Hüseyin BODUR (Güz) |
| Goals | The aim of this course is to introduce the fundamental concepts of computer engineering, provide students with introductory knowledge of algorithms, programming, computer systems, and networks, and raise awareness of professional ethics, engineering standards, legal responsibilities, health, environmental and safety impacts, and the societal dimensions of engineering solutions in practice. |
| Course Content | This course introduces fundamental computer engineering topics, including algorithms and flowcharts, Boolean algebra, programming languages, operating systems, microprocessors, computer networks, data structures, and database systems. It also covers engineering ethics, information ethics, engineering standards, data security and privacy, the health, environmental and safety impacts of engineering applications, sustainability, and the legal responsibilities associated with engineering solutions. |
| # | Öğrenme Kazanımı |
| 1 | Learns the fundamental concepts about computer hardware. |
| 2 | Learns the fundamental concepts about computer programming. |
| 3 | Learns the fundamental concepts about computer networks |
| 4 | Learns the fundamental concepts about database technologies. |
| 5 | It defines the principles of engineering ethics and information ethics and recognises professional responsibilities. |
| 6 | The student will gain knowledge of fundamental engineering standards used in computer engineering applications. |
| 7 | They learn fundamental concepts in data security and artificial intelligence. |
| 8 | It explains the impacts of engineering practices on health, the environment and safety. |
| 9 | They become aware of the legal consequences and responsibilities associated with engineering solutions. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Computer Measurement Units | |
| 2. Week | Number Bases and Boole Algebra | |
| 3. Week | Algorithm and Flowchart | |
| 4. Week | Programming Languages | |
| 5. Week | Introduction to Operating Systems | |
| 6. Week | Microprocessors and Assembly Programming | |
| 7. Week | Introduction to Computer Networks | |
| 8. Week | Introduction to Data Security | |
| 9. Week | Introduction to Software Engineering | |
| 10. Week | Data Structures and Data Models | |
| 11. Week | Database Management Systems | |
| 12. Week | Introduction to Artificial Intelligence | |
| 13. Week | Engineering ethics, information ethics, engineering standards | |
| 14. Week | The societal impacts of information technologies, their health, environmental, and safety dimensions, and legal responsibilities. |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge of mathematics, science and related engineering disciplines; Ability to use theoretical and applied knowledge in these fields in complex engineering problems | ✔ | |||||
| 2 | Ability to identify, define, formulate and solve complex engineering problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods | ✔ | |||||
| 3 | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods | ✔ | |||||
| 4 | Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself | ✔ | |||||
| 5 | Ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics | ✔ | |||||
| 6 | Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills | ✔ | |||||
| 7 | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; Ability to use information technologies effectively | ✔ | |||||
| 8 | Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions | ✔ | |||||
| 9 | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 | DK8 | DK9 |
|---|---|---|---|---|---|---|---|---|---|
| PY1 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY2 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY3 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY3 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY6 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY7 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY8 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY9 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Dr. Öğr. Üyesi Hüseyin BODUR | N.Ö | Vize | 35.00 |
| Dr. Öğr. Üyesi Hüseyin BODUR | N.Ö | Ödev | 15.00 |
| Dr. Öğr. Üyesi Hüseyin BODUR | N.Ö | Final | 50.00 |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 2 | 14 | 28 |
|
Sınavlar |
Midterm | 1 | 3 | 3 |
| Homework | 5 | 3.4 | 17 | |
| Final | 1 | 3 | 3 | |
| Total Workload | 51 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 2.0 | ||
