| COMPUTER ENGINEERING | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CMP4503 | Advanced Computer Networks | Fall Spring |
3 | 0 | 3 | 6 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | Bachelor |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. ECE GELAL SOYAK |
| Course Objectives: | This course covers current topics related to computer networks. The aim of the course is to examine the various solutions provided through computer networks (e.g., video transfer, Internet of Things, distributed computing/storage systems). |
|
The students who have succeeded in this course; I. Understanding the design principles behind various network technologies. II. Understanding the impact of networks for enabling systems such as distributed computing, cloud computing, multimedia distribution. III. Becoming familiar with emerging network paradigms (e.g. Internet of Things, network virtualization). IV. Understanding of various network infrastructures (e.g. DSL, CDN). V. Getting familiar with incorporating artificial intelligence for optimization in computer networks. VI. Gaining a deep understanding of the trade-offs in improving network performance. VII. Gaining practice in critically understanding and presenting new network architectures and technologies. |
| Within the scope of the course, basic concepts and technologies related to modern computer networks are taught. The content to be covered in the course is gathered under three main topics: (1) wireless networks and protocols, (2) virtualization in networks, (3) networks for AI and AI for networks. The teaching methods of the course are as follows: - Lecture - Individual Study - Group Work - Guest / Expert Invitation - Reading - Discussion - Project Preparation |
| Week | Subject | Related Preparation | |
| 1) | Introduction, network design principles overview | ||
| 2) | Home networks, Wi-Fi | ||
| 3) | Internet Service Providers, Content Distribution Networks | ||
| 4) | Sensor and ad hoc networks, routing, Internet of Things | ||
| 5) | Wireless mesh networks | ||
| 6) | Introduction to distributed systems | ||
| 7) | Mid-term review | ||
| 8) | Software-Defined Networks, network virtualization | ||
| 9) | Cloud networks, data center networks | ||
| 10) | Multimedia networks, multicasting | ||
| 11) | Edge computing | ||
| 12) | Network security | ||
| 13) | Final presentations (I) | ||
| 14) | Final presentations (II) | ||
| Course Notes: | |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | 10 | % 40 |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | 1 | % 30 |
| Seminar | % 0 | |
| Midterms | % 0 | |
| Preliminary Jury | % 0 | |
| Final | 1 | % 30 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentations / Seminar | 1 | 5 | 5 |
| Project | 1 | 20 | 20 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 6 | 1 | 6 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 1 | 12 | 12 |
| Paper Submission | 1 | 6 | 6 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 20 | 20 |
| Total Workload | 139 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
| 2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
| 3) | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |
| 4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively. | |
| 5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. | |
| 6) | Ability to work effectively within and multi-disciplinary teams; individual study skills. | |
| 7) | Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| 8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
| 9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
| 10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
| 11) | Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions. |